Dipak K. Dey | Academic Influence

Dipak K. Dey's AcademicInfluence.com Rankings

Dipak K. Dey

Mathematics

#2047

World Rank

#3219

Historical Rank

Statistics

#140

World Rank

#182

Historical Rank

mathematics Degrees

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Mathematics

Dipak K. Dey's Degrees

PhD Statistics University of Connecticut
Masters Statistics University of Connecticut
Bachelors Statistics University of Calcutta

Why Is Dipak K. Dey Influential?

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According to Wikipedia, Dipak Kumar Dey is an Indian-American statistician best known for his work on Bayesian methodologies. He is currently the Board of Trustees Distinguished Professor in the Department of Statistics at the University of Connecticut. Dey has an international reputation as a statistician as well as a data scientist. Since he earned a Ph.D. degree in statistics from Purdue University in 1980, Dey has made tremendous contributions to the development of modern statistics, especially in Bayesian analysis, decision science and model selection. Dey has published more than 10 books and edited volumes, and over 260 research articles in peer-refereed national and international journals. In addition, the statistical methodologies that he has developed has found wide applications in a plethora of interdisciplinary and applied fields, such as biometry and bioinformatics, genetics, econometrics, environmental science, and social science. Dey has supervised 40 Ph.D. students, and presented more than 200 professional talks in colloquia, seminars and conferences all over the world. During his career, Dey has been a visiting professor or scholar at many institutions or research centers around the world, such as Macquarie University , Pontificia Universidad Católica de Chile, , University of São Paulo , University of British Columbia , Statistical and Applied Mathematical Sciences Institute , etc. Dey is an elected fellow of the American Association for the Advancement of Science, the American Statistical Association, the Institute of Mathematical Statistics, the International Society for Bayesian Analysis and the International Statistical Institute.

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Dipak K. Dey's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Bayesian Model Choice: Asymptotics and Exact Calculations (1994) (1303)
Model Determination Using Predictive Distributions with Implementation via Sampling-Based Methods (1992) (734)
A General Class of Multivariate Skew-Elliptical Distributions (2001) (669)
A new class of multivariate skew distributions with applications to bayesian regression models (2003) (639)
A Bayesian approach to inferring population structure from dominant markers (2002) (461)
Skewed multivariate models related to hidden truncation and/or selective reporting (2002) (277)
Estimation of a covariance matrix under Stein's loss (1985) (271)
Generalized Linear Models : A Bayesian Perspective (2000) (246)
A First Course in Linear Model Theory (2001) (212)
Semiparametric Bayesian analysis of survival data (1997) (208)
A double blind, randomized, placebo controlled study of the efficacy and safety of 5-Loxin® for treatment of osteoarthritis of the knee (2008) (187)
Ultrasensitive detection of cancer biomarkers in the clinic by use of a nanostructured microfluidic array. (2012) (171)
A New Skewed Link Model for Dichotomous Quantal Response Data (1999) (164)
A Weibull Regression Model with Gamma Frailties for Multivariate Survival Data (1997) (151)
Bayesian analysis of outlier problems using divergence measures (1995) (128)
To Bayes or Not to Bayes, From Whether to When: Applications of Bayesian Methodology to Modeling (2004) (126)
Frequentist validity of posterior quantiles in the presence of a nuisance parameter : higher order asymptotics (1993) (123)
Simultaneous estimation of parameters under entropy loss (1986) (116)
Generalized extreme value regression for binary response data: An application to B2B electronic payments system adoption (2011) (102)
Bayesian Approach for Nonlinear Random Effects Models (1997) (101)
Safety and efficacy of undenatured type II collagen in the treatment of osteoarthritis of the knee: a clinical trial (2009) (93)
Flexible generalized t-link models for binary response data (2008) (85)
Bayesian analysis for correlated Ordinal Data Models (2000) (81)
A Randomized, Double Blind, Controlled, Dose Dependent Clinical Trial to Evaluate the Efficacy of a Proanthocyanidin Standardized Whole Cranberry (Vaccinium macrocarpon) Powder on Infections of the Urinary Tract (2011) (80)
Current Trends in Bayesian Methodology with Applications (2015) (79)
On comparison of estimators in a generalized life model (1992) (79)
Estimation of Langmuir Constants using Linear and Nonlinear (1996) (78)
Bayesian analysis of multivariate survival data using Monte Carlo methods (1998) (78)
BAYESIAN MODELING OF CORRELATED BINARY RESPONSES VIA SCALE MIXTURE OF MULTIVARIATE NORMAL LINK FUNCTIONS (1998) (78)
Linear and Nonlinear Mixed‐Effects Models for Censored HIV Viral Loads Using Normal/Independent Distributions (2011) (78)
A new class of multivariate skew distributions with applications to Bayesian regression models (2009) (76)
Robust Bayesian analysis using divergence measures (1994) (75)
Extreme Value Modeling and Risk Analysis : Methods and Applications (2015) (75)
Robust linear mixed models with skew-normal independent distributions from a Bayesian perspective (2009) (68)
Efficacy of a novel, natural extract of (-)-hydroxycitric acid (HCA-SX) and a combination of HCA-SX, niacin-bound chromium and Gymnema sylvestre extract in weight management in human volunteers: a pilot study (2004) (67)
A simulation-intensive approach for checking hierarchical models (1998) (63)
Semiparametric Proportional Odds Models for Spatially Correlated Survival Data (2005) (60)
On estimation with balanced loss functions (1999) (57)
Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics (2011) (53)
A Bayesian Approach Using Nonhomogeneous Poisson Process for Software Reliability Models (2007) (52)
Multivariate Survival Analysis with Positive Stable Frailties (1999) (52)
Bayesian dynamic models for survival data with a cure fraction (2007) (51)
Modeling Expert Opinion Arising as a Partial Probabilistic Specification (1995) (49)
Grouped random effects models for Bayesian meta-analysis. (1997) (47)
Skew‐normal/independent linear mixed models for censored responses with applications to HIV viral loads (2012) (45)
A new class of flexible link functions with application to species co-occurrence in cape floristic region (2013) (43)
Bayesian analysis of generalized odds-rate hazards models for survival data (2007) (42)
A Bayesian predictive approach to determining the number of components in a mixture distribution (1995) (42)
Overdispersed Generalized Linear Models (1997) (42)
Improved estimation of the disturbance variance in a linear regression model (1988) (41)
A Comparison of Frailty and Other Models for Bivariate Survival Data (2000) (40)
Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger (2010) (38)
Recognition and classification of red blood cells using digital holographic microscopy and data clustering with discriminant analysis. (2011) (38)
Bayesian inference in nonlinear mixed-effects models using normal independent distributions (2013) (38)
Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model (2015) (37)
A multivariate mixture of Weibull distributions in reliability modeling (1999) (34)
Bayesian Statistics And Its Applications (2007) (33)
A Bayesian Hierarchical Model for Analysis of Single-Nucleotide Polymorphisms Diversity in Multilocus, Multipopulation Samples (2009) (33)
Three-dimensional photon counting integral imaging using Bayesian estimation. (2010) (32)
Simultaneous estimation of eigenvalues (1988) (32)
Complex elliptical distributions with application to shape analysis (2006) (31)
Bayesian thinking : modeling and computation (2005) (31)
Bayesian criterion based model assessment for categorical data (2004) (30)
DIFFERENTIATION AMONG POPULATIONS WITH MIGRATION, MUTATION, AND DRIFT: IMPLICATIONS FOR GENETIC INFERENCE (2006) (30)
Bayesian Markov Chain Random Field Cosimulation for Improving Land Cover Classification Accuracy (2015) (29)
A new threshold regression model for survival data with a cure fraction (2011) (29)
On Truncation of Shrinkage Estimators in Simultaneous Estimation of Normal Means (1983) (28)
Bayesian and frequentist estimation and prediction for exponential distributions (2006) (28)
Multivariate process capability a bayesian perspective (2000) (27)
Approximatereference priors in the presence of latent structures (2010) (27)
Variable selection for multivariate logistic regression models (2003) (25)
ON BAYESIAN ROBUSTNESS OF CONTAMINATED CLASSES OF PRIORS (1991) (25)
ON THE ADMISSIBILITY OF THE LINEAR ESTIMATORS OF THE POISSON MEAN USING LINEX LOSS FUNCTIONS (1990) (25)
A Bayesian Approach to Robust Skewed Autoregressive Processes (2017) (25)
Fe3O4 nanofluid injected photonic crystal fiber for magnetic field sensing applications (2020) (24)
A quantitative study of quantile based direct prior elicitation from expert opinion (2007) (24)
Latent Class Analysis of Incomplete Data via an Entropy-Based Criterion. (2016) (24)
Bayesian sparse reduced rank multivariate regression (2017) (24)
Parametric models for spatially correlated survival data for individuals with multiple cancers (2008) (23)
Modeling publication bias using weighted distributions in a Bayesian framework (1998) (23)
Bayesian model diagnostics using functional Bregman divergence (2014) (22)
Transformed Gaussian Markov random fields and spatial modeling of species abundance (2012) (21)
Sequential Co-Sparse Factor Regression (2017) (21)
On the Estimation of a Variance Ratio. (1988) (21)
Bayesian modeling of bathtub shaped hazard rate using various Weibull extensions and related issues of model selection (2012) (20)
Fully semiparametric Bayesian approach for modeling survival data with cure fraction (2014) (20)
Univariate Extreme Value Analysis (2016) (20)
On Bayesian Inference for Generalized Multivariate Gamma Distribution (2010) (20)
A General Class of Change Point and Change Curve Modeling for Life Time Data (2002) (20)
Canonical variate regression. (2016) (19)
On local sensitivity measures in Bayesian analysis (1996) (19)
Practical Nonparametric and Semiparametric Bayesian Statistics (Lecture Notes in Statistics 137) (1999) (19)
BAYESIAN SPATIAL-TEMPORAL MODELING OF ECOLOGICAL ZERO-INFLATED COUNT DATA. (2015) (18)
Trimmed minimax estimator of a covariance matrix (1986) (18)
Weighted distributions viewed in the context of model selection: A Bayesian perspective (1996) (18)
State space mixed models for binary responses with scale mixture of normal distributions links (2014) (17)
Bayesian robustness for multiparameter problems (1994) (17)
COMPOSITIONAL TIME SERIES ANALYSIS OF MORTALITY PROPORTIONS (2001) (16)
Skew random effects in multilevel binomial models (2008) (16)
Propriety of posterior distributions arising in categorical and survival models under generalized extreme value distribution (2014) (16)
Hierarchical overdispersed Poisson model with macrolevel autocorrelation (2007) (16)
Box–Cox transformations in Bayesian analysis of compositional data (1998) (16)
Multivariate Survival Models with a Mixture of Positive Stable Frailties (2000) (16)
Combining coordinates in simultaneous estimation of normal means (1983) (16)
Long-term survival models with latent activation under a flexible family of distributions (2013) (15)
Modelling spatially correlated survival data for individuals with multiple cancers (2007) (15)
Properties of a multivariate survival distribution generated by a Weibull and inverse-Gaussian mixture (1993) (15)
A flexible bathtub hazard model for non-repairable systems with uncensored data (1987) (15)
A class of dynamic piecewise exponential models with random time grid (2012) (15)
Bayesian models for the analysis of genetic structure when populations are correlated (2005) (15)
A flexible cure rate model for spatially correlated survival data based on generalized extreme value distribution and Gaussian process priors (2016) (14)
Bayes computation for life testing and reliability estimation (1992) (14)
On Dynamic Generalized Linear Models with Applications (2013) (14)
Improved estimation of a multinormal precision matrix (1987) (14)
On Bayesian Analysis of Generalized Linear Models Using the Jacobian Technique (2006) (14)
Leveraging mixed and incomplete outcomes via reduced-rank modeling (2018) (13)
Bayesian approach to change point problems (1997) (13)
Survival Analysis Using Semiparametric Bayesian Methods (1998) (13)
PRIOR AND POSTERIOR PREDICTIVE P-VALUES IN THE ONE-SIDED LOCATION PARAMETER TESTING PROBLEM (2003) (13)
Generalized extreme value regression for ordinal response data (2011) (13)
Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation (2013) (12)
Compound Poisson distributions : properties and estimation (1992) (12)
Bayesian approach to estimation of intraclass correlation using reference prior (1998) (12)
Bayesian Spatial Homogeneity Pursuit Regression for Count Value Data (2020) (12)
Estimating threshold-exceeding probability maps of environmental variables with Markov chain random fields (2010) (12)
Comparison of Bayesian and frequentist estimation and prediction for a normal population (2004) (12)
Convolutions of the T distribution (2005) (12)
Flexible link functions in nonparametric binary regression with Gaussian process priors (2016) (12)
Bayesian Estimation of Stochastic Frontier Models with Multivariate Skew t Error Terms (2007) (12)
Modeling shape distributions and inferences for assessing differences in shapes (2005) (12)
Intervention Analysis of Hurricane Effects on Snail Abundance in a Tropical Forest Using Long-Term Spatiotemporal Data (2011) (11)
Modeling experimental cross-transiograms of neighboring landscape categories with the gamma distribution (2012) (11)
Clustering by propagating probabilities between data points (2016) (11)
Censored regression models with autoregressive errors: A likelihood‐based perspective (2017) (11)
Prostate Cancer Diagnosis in the Clinic Using an 8-Protein Biomarker Panel. (2020) (11)
Multitude of multivariate t-distributions (2005) (11)
The stochastic control of process capability indices (1998) (11)
Intrinsic Point Estimation of the Normal Variance (2007) (11)
Reconciling Bayesian and Frequentist Evidence in the One-Sided Scale Parameter Testing Problem (2007) (11)
A new construction for skew multivariate distributions (2005) (11)
Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data (2016) (10)
On estimation of discriminant coefficients (1991) (10)
A new class of regression model for a bounded response with application in the study of the incidence rate of colorectal cancer (2020) (10)
Modeling Multilevel Survival Data Using Frailty Models (2008) (10)
Estimation of system reliability for independent series components with Weibull life distributions (1988) (10)
An extended poisson family of life distribution: a unified approach in competitive and complementary risks (2018) (10)
Entropy-based clustering of embryonic stem cells using digital holographic microscopy. (2014) (10)
Clique-Based Method for Social Network Clustering (2017) (10)
THE DEGREE PROFILE AND GINI INDEX OF RANDOM CATERPILLAR TREES (2018) (10)
On a Bayesian multivariate survival model with a skewed frailty (2004) (10)
On the product and ratio of t random variables (2006) (10)
Estimation of scale parameters in mixture distributions (1990) (10)
On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions (2020) (9)
A comparison of generalized multinomial logit and latent class approaches to studying consumer heterogeneity with some extensions of the generalized multinomial logit model (2011) (9)
Simulation Based Model Checking for Hierarchical Models (2004) (9)
A Bayesian hierarchical model for analysis of SNP diversity in multilocus, multipopulation samples. (2009) (9)
A NEW CLASS OF IMPROVED ESTIMATORS OF A MULTINORMAL PRECISION MATRIX (1990) (9)
Categorical Data Analysis Using a Skewed Weibull Regression Model (2017) (9)
Bayesian Analysis of Binary Data Using Skewed Logit Models (2001) (9)
Statistical approach to metabonomic analysis of rat urine following surgical trauma (2006) (8)
Flexible link functions in a joint model of binary and longitudinal data (2015) (8)
A transformation class for spatio-temporal survival data with a cure fraction (2016) (8)
Effect of light management in broiler production: A review (2019) (8)
A UNIFIED BAYESIAN APPROACH FOR ANALYZING CORRELATED ORDINAL RESPONSE DATA (2000) (8)
Convolutions of the pearson type VII distribution (2005) (8)
Bayesian isotonic changepoint analysis (2009) (8)
Ranges of Posterior Expected Losses and ε-Robust Actions (2000) (8)
ON THE CHOICE OF COORDINATES IN SIMULTANEOUS ESTIMATION OF NORMAL MEANS (1980) (7)
Skew-Elliptical Distributions (2004) (7)
Model determination for the variance component model using reference priors (2002) (7)
Bayesian Design of Non-inferiority Clinical Trials Via the Bayes Factor (2018) (7)
Influence diagnostics in spatial models with censored response (2017) (7)
Modelling accelerated life test data by using a Bayesian approach (2003) (7)
Analysis of extreme drinking in patients with alcohol dependence using Pareto regression (2010) (7)
Bayesian modeling of flash floods using generalized extreme value distribution with prior elicitation (2009) (7)
On Bayesian Analysis of Generalized Linear Models : A New Perspective (2007) (7)
A semiparametric model for compositional data analysis in presence of covariates on the simplex (2002) (7)
Study of chemical composition and mineral content of sun dried Azolla pinnata (2018) (6)
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles (2008) (6)
Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging. (2020) (6)
A new empirical Bayes estimator with type II censored data (1991) (6)
On estimation of the scale matrix of the multivariate f distribution (1989) (6)
Mining the Salivary Proteome with Grating‐Coupled Surface Plasmon Resonance Imaging and Surface Plasmon Coupled Emission Microarrays (2012) (6)
The Marshall-Olkin generalized gamma distribution (2018) (6)
Effect of different fat and protein levels in calf ration on performance of Sahiwal calves (2019) (6)
Approximate Inferences for Nonlinear Mixed Effects Models with Scale Mixtures of Skew-Normal Distributions (2020) (6)
Scale mixtures log-Birnbaum–Saunders regression models with censored data: a Bayesian approach (2017) (6)
Flexible regression modeling for censored data based on mixtures of student-t distributions (2018) (6)
On Measuring Loss Robustness Using Maximum A Posteriori Estimate (2004) (5)
Bayesian analysis of multivariate mortality data with large families (2000) (5)
Investigating emergent nested geographic structure in consumer purchases: a Bayesian dynamic multi-scale spatiotemporal modeling approach (2020) (5)
Zero‐inflated Poisson model with clustered regression coefficients: Application to heterogeneity learning of field goal attempts of professional basketball players (2020) (5)
Application of a Vine Copula for Multi-Line Insurance Reserving (2020) (5)
Bayesian Approaches for Overdispersion in Generalized Linear Models (1998) (5)
Bayesian modeling in bioinformatics (2010) (5)
Statistical Tests for Large Tree-Structured Data (2014) (5)
Test to distinguish a Brownian motion from a Brownian bridge using Polya tree process (2011) (5)
Bayesian Inference in Political Science, Finance, and Marketing Research (2010) (4)
Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing (2018) (4)
Bayesian estimation of depth information in three-dimensional integral imaging (2014) (4)
Multiparameter estimation in truncated power series distributions under the stein's loss (1991) (4)
Multi-peril frequency credibility premium via shared random effects (2021) (4)
Performance of asymmetric links and correction methods for imbalanced data in binary regression (2019) (4)
Asymptotics of the Empirical Cross-over Function (2011) (4)
Estimation of COVID-19 mortality in the United States using Spatio-temporal Conway Maxwell Poisson model (2021) (4)
A Beta‐Mixture Model for Assessing Genetic Population Structure (2011) (4)
Trimmed estimates in simultaneous estimation of parameters in exponential families (1984) (4)
Assessing intervention efficacy on high‐risk drinkers using generalized linear mixed models with a new class of link functions (2013) (4)
A hierarchical Bayesian approach for estimating the origin of a mixed population (2008) (4)
Simultaneous Estimation of Poisson Means under Weighted Entropy Loss (1994) (4)
Regularizing Portfolio Risk Analysis: A Bayesian Approach (2014) (4)
Genetic diversity of microsatellite loci in hierarchically structured populations. (2011) (3)
Inference for Large Tree-structured Data (2014) (3)
Variable selection for correlated bivariate mixed outcomes using penalized generalized estimating equations (2019) (3)
Multivariate Extreme Value Analysis (2015) (3)
Bayesian Clinical Trials (2010) (3)
A closer look at the spatial exponential matrix specification (2014) (3)
Bayesian estimation of a skew-t stochastic volatility model (2011) (3)
Simulation of Max-Stable Processes Marco Oesting, Mathieu Ribatet, and Cle´ment Dombry (2016) (3)
A Flexible Skewed Link Function for Binary Response Data (2008) (3)
Bayesian Model Selection and Hypothesis Tests (2010) (3)
Modeling Survival Data Using the Piecewise Exponential Model with Random Time Grid (2011) (3)
Asymptotics of a clustering criterion for smooth distributions (2012) (3)
Semiparametric hierarchical selection models for bayesian meta analysis (2002) (3)
Investigating Several Fundamental Properties of Random Lobster Trees and Random Spider Trees (2021) (3)
Generalized co-sparse factor regression (2020) (3)
Block Nearest Neighboor Gaussian processes for large datasets (2019) (3)
Semiparametric Functional Estimation Using Quantile-Based Prior Elicitation (2008) (3)
Binary state space mixed models with flexible link functions: a case study on deep brain stimulation on attention reaction time (2015) (3)
A New lifetime model for multivariate survival data with a surviving fraction (2016) (3)
A unified modeling framework for metabonomic profile development and covariate selection for acute trauma subjects (2008) (3)
The Impact of Missing Values on Different Measures of Uncertainty (2019) (3)
THE EXPONENTIATED INVERSE WEIBULL GEOMETRIC DISTRIBUTION (2017) (3)
Improved estimation of variance components in mixed models (1988) (3)
Spatial risk estimation in Tweedie compound Poisson double generalized linear models (2019) (3)
Improved Estimators in Simultaneous Estimation of Scale Parameters. (1987) (3)
Heckman selection-t model: Parameter estimation via the EM-algorithm (2020) (3)
MEASURING THE EFFECT OF OBSERVATIONS USING THE POSTERIOR AND THE INTRINSICBAYES FACTORS WITH VAGUE PRIOR INFORMATION (1997) (3)
Bayesian variable selection using spike‐and‐slab priors with application to high dimensional electroencephalography data by local modelling (2019) (2)
Weighted Distributions Viewed in the Context ofModel Selection : A Bayesian (1994) (2)
Semiparametric Bayesian estimation of random coefficients discrete choice models (2007) (2)
Bayesian inference and diagnostics in zero-inflated generalized power series regression model (2016) (2)
Can Tests for Jumps be Viewed as Tests for Clusters (2013) (2)
On Posterior Properties of the Two Parameter Gamma Family of Distributions. (2021) (2)
On estmation of poisson lovits (1986) (2)
A review on fermentation quality of paddy straw silage (2018) (2)
Power link functions in an ordinal regression model with Gaussian process priors (2019) (2)
Bayesian Approaches to Phylogenetic Analysis (2010) (2)
Model Based Penalized Clustering for Multivariate Data (2007) (2)
Discrete-response state space models with conditional heteroscedasticity: An application to forecasting the federal funds rate target (2017) (2)
Effect of feeding rice distillers dried grain with solubles as major protein source on nutrient digestibility and growth performance of Jersey crossbred calves (2019) (2)
Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis (2018) (2)
Skewed link regression models for imbalanced binary response with applications to life insurance (2020) (2)
Bayesian Decision Based Estimation and Predictive Inference (2010) (2)
On the choice of co-ordinates in simultaneous estimation of normal means under misspecification of normal priors (1983) (2)
APPLYING THE SAVAGE-DICKEY DENSITY RATIO TO DEFAULT BAYES FACTORS, WITH AN ILLUSTRATION TO OUTLIER DETECTION IN RANDOM EFFECTS MODELS (2001) (2)
Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution (2020) (2)
Bayesian Model Assessment and Selection Using Bregman Divergence (2020) (2)
Stock return volatility , heavy tails , skewness and trading volume : A Bayesian approach (2012) (2)
A nonparametric approach to k-sample inference based on entropy-super-* (1997) (2)
Investigating the impact of customer stochasticity on firm price discrimination strategies using a new Bayesian mixture scale heterogeneity model (2015) (2)
Essential Bayesian models : a derivative of Handbook of statistics : Bayesian thinking : modeling and computation, Vol.25 (2011) (2)
Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism (2020) (2)
Assessing shape differences in populations of shapes using the complex watson shape distribution (2005) (2)
Improved Estimation of a Patterned Covariance Matrix (1989) (2)
On the choice of prior for the Bayes estimation in accelerated life testing (1993) (2)
Estimation of parameters and reliability from generalized life models (1990) (2)
Time series effects of dissolved oxygen and nitrogen on Long Island Sound lobster harvest (2016) (2)
Modeling Associations Among Multivariate Longitudinal Categorical Variables in Survey Data: A Semiparametric Bayesian Approach (2012) (2)
On the inadmissibility of preliminary-test estimators when the loss involves a complexity cost (1986) (2)
Analysis of 5 Loxin ® Treatment for Patients with Osteoarthritis in Clinical Trial using Power Filter (2008) (1)
A note on response mean confidence band for linear regression models (2019) (1)
Bregman divergence to generalize Bayesian influence measures for data analysis (2021) (1)
Importance of Livestock in Indian Scenario: A review (2018) (1)
Bayesian Modeling with Spatial Curvature Processes (2023) (1)
The application of improved covariance estimation to adaptive beamforming and detection (1994) (1)
Bayesian MAP estimation using Gaussian and diffused‐gamma prior (2018) (1)
Shrinkage estimation in time series using a bootstrapped covariance estimate (1995) (1)
Dimension Augmenting Vector Machine : A new General Classifier System for Large p Small n problem (2007) (1)
Dynamic Spatial Pattern Recognition in Count Data (2016) (1)
Bayesian Nonparametrics and Semi-parametrics (2010) (1)
Learning Bayesian Networks for Gene Expression Data (2010) (1)
| Extreme Value Modeling and Risk Analysis | Taylor & Francis Group (2016) (1)
Wavelet modeling of priors on triangles (2004) (1)
Bayesian Design of Noninferiority Clinical Trials with Co-primary Endpoints and Multiple Dose Comparison (2015) (1)
Bayesian Inference for Complex Computer Models (2010) (1)
University of Connecticut Department of Statistics (2012) (1)
Classification of high‐dimensional electroencephalography data with location selection using structured spike‐and‐slab prior (2020) (1)
On Robustness of Choice of Links in Binomial Regression (2002) (1)
Sampling from the Multivariate Normal Distribution (2021) (1)
Bayesian Classification Method for QTL Mapping (2010) (1)
Bayesian Robust Inference for Differential Gene Expression (2010) (1)
Bayesian Hidden Markov Modeling of Array CGH Data (2010) (1)
On Clustering Criteria for Smooth Distributions (2012) (1)
Estimation of series system reliability for exponentially distributed component life times (1988) (1)
Modeling Heterogeneity and Extraneous Variation Using Weighted Distributions (1995) (1)
Learning Semiparametric Regression with Missing Covariates Using Gaussian Process Models (2020) (1)
On truncation of multiparameter estimator in discrete exponential families (1983) (1)
A Bayesian Analysis of the Solar Cycle Using Multiple Proxy Variables (2015) (1)
Comparisons of zero‐augmented continuous regression models from a Bayesian perspective (2020) (1)
Symmetric Power Link with Ordinal Response Model (2015) (1)
Semiparametric Functional Estimation Using Quantile-Based (2008) (1)
A BAYESIAN APPROACH TO LOSS ROBUSTNESS (1998) (1)
Fully and empirical Bayes approaches to estimating copula-based models for bivariate mixed outcomes using Hamiltonian Monte Carlo (2020) (1)
On simultaneous estimation of parametric functions in a contingency table (1984) (1)
Estimation and Testing in Time-Course Microarray Experiments (2010) (1)
In-Vitro to In-Vivo Factor Profiling in Expression Genomics (2010) (1)
A class of minimax estimators of the scale parameter of the uniform distribution (1990) (1)
Editorial for the special issue on spatial statistics (2012) (1)
Asymptotic Properties of Marginal Least-Square Estimator for Ultrahigh-Dimensional Linear Regression Models with Correlated Errors (2019) (1)
A Bayesian Mixture Model for Protein Biomarker Discovery (2010) (1)
Modeling Associations Among Multivariate Longitudinal Categorical Variables in Survey Data: A Semiparametric Bayesian Approach (2012) (0)
Review of Vector and Matrix Algebra (2021) (0)
Baltic Sea Peracarids Diurnal Activity Data : Issues On Multiple Imputation in Overdispersed Poisson Regression Model and Model Selection (2010) (0)
Scalable spatio‐temporal Bayesian analysis of high‐dimensional electroencephalography data (2021) (0)
Bayesian Categorical Data Analysis (2010) (0)
Objective Bayesian Inference with Applications (2010) (0)
Analysis of Bivariate Survival Data Based on Copulas with Log-Generalized Extreme Value Marginals (2015) (0)
Bayesian Parallel Computation for Intractable Likelihood Using Griddy-Gibbs Sampler (2015) (0)
Investigating Several Fundamental Properties of Random Lobster Trees and Random Spider Trees (2021) (0)
On Dynamic Generalized Linear Models with Applications (2011) (0)
Measurement Error and Survival Model for cDNA Microarrays (2010) (0)
Three‐dimensional visualization and identification of objects in photon starved scenes using statistical estimation (2011) (0)
Investigating the impact of customer stochasticity on firm price discrimination strategies using a new Bayesian mixture scale heterogeneity model (2015) (0)
Rejoinder to Fong (2011) and Lenk (2011)'s comments on ‘A comparison of generalized multinomial logit and latent class approaches to studying consumer heterogeneity with some extensions of the generalized multinomial logit model’ (2011) (0)
A simple mixed membership model for social network clustering (2017) (0)
Flexible Modeling of Hurdle Conway-Maxwell-Poisson Distributions with Application to Mining Injuries. (2020) (0)
Modeling Dependent Covariate Subclass Eeects in Bayesian Meta-analysis (2007) (0)
Regularizing Portfolio Risk Analysis: A Bayesian Approach (2016) (0)
SELEX- Aptamer Technology to Combat Diseases of Animals : Recent Advancement and Future Application: A Review (2021) (0)
Classification for Differential Gene Expression Using Bayesian Hierarchical Models (2010) (0)
Partially Supervised Sparse Factor Regression For Multi-Class Classification (2016) (0)
Revisiting the Samejima–Bolfarine–Bazán IRT models: New features and extensions (2023) (0)
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data (2023) (0)
Bayesian Geophysical, Spatial and Temporal Statistics (2010) (0)
Random- and Mixed-Effects Models (2021) (0)
Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model (2013) (0)
Fixed-Effects Linear Models (2021) (0)
Approximation of Zero-Inflated Poisson Credibility Premium via Variational Bayes Approach (2022) (0)
Flexible regression modeling for censored data based on mixtures of student-t distributions (2018) (0)
Miscellaneous Topics (2021) (0)
Power Laws Distributions in Objective Priors (2020) (0)
Modeling Toxicological Multivariate Mortality Data: a Bayesian Perspective (1997) (0)
A NEW CLASS OF MINIMAX ESTIMATORS OF MULTIVARIATE NORMAL MEAN VECTORS UNDER BALANCED LOSS FUNCTION (1999) (0)
On foundation of statistical inference by C R Rao relating to information inequality (2020) (0)
State Space Models for Binary Response Data with Flexible Link Functions (2013) (0)
I : I 1 III ii-+ • MODEL DETERMINATION USING PREDICTIVE DISTRIBUTIONS WITH IMPLEMENTATION VIA SAMPLING-BASED METHODS by (0)
A Type of Sample Size Planning for Mean Comparison in Clinical Trials (2021) (0)
D-Measure: A Bayesian Model Selection Criterion for Survival Data (2019) (0)
Constrained Statistical Decisions in Evolving Environments (2009) (0)
Bayesian Analysis of Mixtures of Improper Survival Distributions (2005) (0)
Asymptotics of the Empirical Cross-over Function (2013) (0)
LOCAL SENSITIVITY ANALYSIS USINGDIVERGENCE MEASURES UNDER PARAMETRICCLASSES OF PERTURBATIONSKuo - (2007) (0)
Model-Based Method for Social Network Clustering (2017) (0)
Inference for the General Linear Model-I (2021) (0)
General Linear Model (2021) (0)
Bayesian Influence and Frequentist Interface (2010) (0)
Effect of supplementation of azolla (Azolla pinnata) on productive performance in cattle and economics of farmers: A field study (2021) (0)
Shrinkage estimation of contemporaneous outliers in concurrent time serie (1996) (0)
Bayesian Data Mining and Machine Learning (2010) (0)
Extensions of the Piecewise Exponential Model (2010) (0)
Review of SDTD Telecourse for Statistics (1993) (0)
Web-based Supplementary Materials for “Flexible Link Functions in Nonparametric Binary Regression with Gaussian Process Priors” by (2015) (0)
Generalized Inverses and Solutions to Linear Systems (2021) (0)
Estimating bivariate errors-in-variables models with instrumental variables (1993) (0)
MEASURING THE EFFECT OF OBSERVATrONS USING THE I ' OSTERIOR AND THE INTRINSIC BAYES FACTORS WITH VAGUE PRIOR (1997) (0)
Multiple Linear Regression Models (2021) (0)
Bayesian Model Choice in Exponential Survival Models (2005) (0)
Gene Selection for the Identification of Biomarkers in High-Throughput Data (2010) (0)
Sparsity Priors for Protein‚ÄìProtein Interaction Predictions (2010) (0)
SUPPLEMENTARY MATERIAL FOR STATISTICAL TESTS FOR LARGE TREE-STRUCTURED DATA (2016) (0)
Regularizing Portfolio Risk Analysis (2014) (0)
Fit Normal or Student-t Heckman Selection Models [R package HeckmanEM version 0.1.1] (2020) (0)
Nonparametric Bayesian Bioinformatics (2010) (0)
Assessing Malaria using Neutral Zone Classifiers with Mixture Discriminant Analysis on 2D Images of Red Blood Cells (2019) (0)
Bayesian Methods for Genomics, Molecular and Systems Biology (2010) (0)
Bayesian Design of Non-inferiority Clinical Trials Via the Bayes Factor (2017) (0)
Book Reviews (2011) (0)
Bayesian Methods for Detecting Differentially Expressed Genes (2010) (0)
On a Type of Probability Stopping Rule for Toxicity Study (2013) (0)
HCA efficiency - Reply (2004) (0)
Box‐Cox Transformation (2006) (0)
Mixed effects state-space models with Student-t errors (2020) (0)
Applications of MOSS for Discrete Multi-Way Data (2010) (0)
Effect of Variable Levels of Metabolisable Energy and Metabolisable Protein On Growth, Immunity and Health Performance in Male Murrah Buffalo Calves (Bubalus Bubalis) (2021) (0)
Dirichlet‐Multinomial Distribution (2006) (0)
A finite mixture mixed proportion regression model for classification problems in longitudinal voting data (2021) (0)
Inference for the General Linear Model-II (2021) (0)
A Bayesian piecewise survival cure rate model for spatially clustered data. (2019) (0)
MEASURING LOCAL INFLUENCE OF POSTERIOR FEATURES UNDER CONTAMINATED CLASSES OF PRIORS (1993) (0)
Importance of mineral feeding in dairy animals: A review (2018) (0)
Generalized Linear Models (2021) (0)
Purified lignin and its impacts on farm animals (2019) (0)
Special Topics (1990) (0)
Bayes and Empirical Bayes Methods for Spotted Microarray Data Analysis (2010) (0)
Modeling Expert Opinion: Likelihoods under Incomplete Probabilistic Specification (1992) (0)
On foundation of statistical inference by C R Rao relating to information inequality (2020) (0)
Properties of Special Matrices (2021) (0)
BOOK REVIEWS (2002) (0)
Robust Bayesian analysis using divergencemeasures under weighted (1999) (0)
Clique-Based Method for Social Network Clustering (2019) (0)
Bayesian Isotonic Estimation for Exponential Family and Beyond (2008) (0)
Modeling Risk and Return using Dirichlet Process Prior (2018) (0)
Fully and empirical Bayes approaches to estimating copula-based models for bivariate mixed outcomes using Hamiltonian Monte Carlo (2020) (0)
Multivariate Normal and Related Distributions (2021) (0)
Book review (2006) (0)
Weighted Distributions Viewed in the Context of Model Selection : A Bayesian Perspective (0)
Spatial Tweedie exponential dispersion models: an application to insurance rate-making (2020) (0)
Spatial Tweedie exponential dispersion models (2020) (0)

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