Lynn Kuo

Q: What Schools Are Affiliated With Lynn Kuo

Lynn Kuo is affiliated with the following schools: University of California, Los Angeles, University of Connecticut

Lynn Kuo's AcademicInfluence.com Rankings

Lynn Kuo

Mathematics

#8187

World Rank

#11119

Historical Rank

Statistics

#1161

World Rank

#1266

Historical Rank

mathematics Degrees

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Mathematics

Why Is Lynn Kuo Influential?

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According to Wikipedia, Lynn Kuo is a professor of statistics at the University of Connecticut known for her work on Bayesian inference in phylogeny. With Ming-Hui Chen and Paul O. Lewis, she is the author of Bayesian Phylogenetics: Methods, Algorithms, and Applications .

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Lynn Kuo'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

Improving marginal likelihood estimation for Bayesian phylogenetic model selection. (2011) (832)
Choosing among Partition Models in Bayesian Phylogenetics (2010) (185)
Bayesian Computation for Nonhomogeneous Poisson Processes in Software Reliability (1996) (177)
Differentiated cells are more efficient than adult stem cells for cloning by somatic cell nuclear transfer (2006) (124)
Bayesian semiparametric inference for the accelerated failure‐time model (1997) (118)
A Note on the Estimation of the Multinomial Logit Model With Random Effects (2001) (113)
Nonparametric Bayesian bioassay including ordered polytomous response (1991) (105)
Bayesian and profile likelihood change point methods for modeling cognitive function over time (2003) (94)
Bayesian Binary Segmentation Procedure for a Poisson Process With Multiple Changepoints (2001) (78)
Computations of mixtures of dirichlet processes (1986) (78)
Bayesian Computation of Software Reliability (1995) (73)
Targeted versus daily naltrexone: secondary analysis of effects on average daily drinking. (2006) (73)
Bayesian reliability modeling for masked system lifetime data (2000) (64)
Bayesian Computations in Survival Models via the Gibbs Sampler (1992) (54)
Posterior predictive Bayesian phylogenetic model selection. (2014) (49)
A Bayesian predictive approach to determining the number of components in a mixture distribution (1995) (42)
Classical and prediction approaches to estimating distribution functions from survey data (1988) (32)
Bayes inference for S-shaped software-reliability growth models (1997) (32)
Bayesian Phylogenetics : Methods, Algorithms, and Applications (2014) (31)
The Admissibility of the Empirical Distribution Function (1985) (30)
AN INTERVAL ESTIMATE FOR THE INTERCLASS CORRELATION IN BETA-BINOMIAL SAMPLING (1996) (30)
Bayesian nonparametric inference for nonhomogeneous Poisson processes (2001) (27)
Estimating Bayesian Phylogenetic Information Content (2016) (27)
ON THE ADMISSIBILITY OF THE LINEAR ESTIMATORS OF THE POISSON MEAN USING LINEX LOSS FUNCTIONS (1990) (25)
A New Monte Carlo Method for Estimating Marginal Likelihoods. (2017) (23)
Multi‐stage transitional models with random effects and their application to the Einstein aging study (2011) (19)
Bayesian Bioassay Design (1983) (19)
Bayesian computation for the superposition of nonhomogeneous poisson processes (1999) (17)
A Bayesian Approach to Pathway Analysis by Integrating Gene–Gene Functional Directions and Microarray Data (2012) (16)
Linear Bayes estimators of the potency curve in bioassay (1988) (14)
Increasing radiation dose improves immunotherapy outcome and prolongation of tumor dormancy in a subgroup of mice treated for advanced intracerebral melanoma (2016) (13)
Forecasting stock prices using a hierarchical Bayesian approach (2005) (11)
A note on Bayes empirical Bayes estimation by means of Dirichlet processes (1986) (9)
Inference for the maximum cell probability under multinomial sampling (1992) (9)
An improved collapsed Gibbs sampler for Dirichlet process mixing models (2006) (8)
Markov Chain Monte Carlo (2000) (8)
MINIMAX SAMPLING STRATEGIES FOR ESTIMATING A FINITE POPULATION DISTRIBUTION FUNCTION (1985) (7)
SMC (sequential Monte Carlo) for Bayesian phylogenetics (2014) (7)
Assessing Combinability of Phylogenomic Data using Bayes Factors. (2019) (7)
PBC: A Software Framework Facilitating Pattern-Based Clustering for Microarray Data Analysis (2009) (7)
A new empirical Bayes estimator with type II censored data (1991) (6)
Population model comparison using multi-locus datasets (2014) (6)
Bayesian analysis for linearized multi-stage models in quantal bioassay (1999) (6)
Sampling based approach for one-hit and multi-hit models in quantal bioassay (1997) (5)
Confident difference criterion: a new Bayesian differentially expressed gene selection algorithm with applications (2015) (5)
DISCRETE CHOICE MODELS BASED ON THE SCALE MIXTURE OF MULTIVARIATE NORMAL DISTRIBUTIONS (2002) (5)
Composite Estimation of Totals for Livestock Surveys (1989) (5)
Managing risk-adjusted resource allocation for project time-cost tradeoffs (2016) (4)
Multi-stage point and interval estimation of the largest mean ofK normal populations and the associated second-order properties (1990) (4)
Bayes Inference for Technological Substitution Data with Data‐based Transformation (1997) (4)
Detecting differentially expressed genes using calibrated bayes factors (2008) (4)
Bayesian variable selection for the Cox regression model with spatially varying coefficients with applications to Louisiana respiratory cancer data (2020) (4)
Bayesian nonparametric phylodynamics (2014) (4)
Bayesian model selection in phylogenetics and genealogy- based population genetics (2014) (3)
A Tailored Multivariate Mixture Model for Detecting Proteins of Concordant Change Among Virulent Strains of Clostridium Perfringens (2018) (3)
Point estimation of the largest location of k negative exponential populations (1990) (3)
Assessing Combinability of Phylogenomic Data using Bayes Factors (2018) (3)
Computations and applications of mixtures of dirichlet processes (1980) (3)
Sampling and summary statistics of endpoint-conditioned paths in DNA sequence evolution (2014) (3)
New partition based measures for data compatibility and information gain (2021) (3)
Statistical Methods for Identifying Differentially Expressed Genes in Replicated Microarray Experiments: A Review (2007) (2)
Dynamic Frailty and Change Point Models for Recurrent Events Data (2013) (2)
Improved sequential and accelerated sequential Procedures for estimating the scale parameter in a aniform distribution (1991) (2)
Fixed-width interval estimation of the largest location of k negative exponential populations (1988) (2)
Confidence Limits for the Intraclass Correlation in Compound‐Poisson Sampling (1996) (2)
Partition Weighted Approach For Estimating the Marginal Posterior Density With Applications (2019) (1)
IDR for marginal likelihood in Bayesian phylogenetics (2014) (1)
Empirical Bayes Risk Evaluation With Type II Censored Data (1993) (1)
A New Method for Tracking Configuration for Dirichlet Process Sampling (2014) (1)
Statistical and Computational Theory and Methodology for Big Data Analysis (2014) (1)
Minimax estimation of a variance (1994) (1)
University of Connecticut Department of Statistics (2012) (1)
A class of minimax estimators of the scale parameter of the uniform distribution (1990) (1)
Bayesian Computation for the Superposition ofNonhomogeneous Poisson (1995) (1)
Bayesian phylogenetics: methods, computational algorithms, and applications (2014) (1)
A State Duration Model for Brand Choice and Inter-Purchase Time (2004) (1)
AN ANALOGY BETWEEN NONPARAMETRIC PROBLEMS OF ESTIMATING A DISTRIBUTION FUNCTION AND THEIR PARAMETRIC VERSIONS (2016) (0)
Combining p Values for Gene Set Analysis (2015) (0)
Optimal Maintenance and Inference in Reliability. (1984) (0)
A Bayesian Approach to Pathway Analysis by Integrating Gene–Gene Functional Directions and Microarray Data (2011) (0)
A Note on the Estimation of the Multinomial Logit Model withRandom (2001) (0)
Inflated density ratio and its variation and generalization for computing marginal likelihoods (2020) (0)
A Conditional Autoregressive Model for Detecting Natural Selection in Protein-Coding DNA Sequences (2013) (0)
Confident difference criterion: a new Bayesian differentially expressed gene selection algorithm with applications (2015) (0)
Bayesian Concentration Ratio and Dissonance (2021) (0)
Software Reliability—II (2006) (0)
Managing Software Development Process Using System Reliability Data (2004) (0)
LoRaD: Marginal likelihood estimation with haste (but no waste). (2023) (0)
COMBINING PRELIMINARY ESTIMATORS OF TOTALS FOR LIVESTOCK SURVEYS BY CONVEX PROGRAMMING (2002) (0)
Computational approach to bayesian inference for risk assessment (1998) (0)
Masked Failure Data: Bayesian Modeling (2008) (0)
Software Reliability including Various Models (2014) (0)
VARIABLE SELECTION FOR BAYESIAN SURVIVAL MODELS USING BREGMAN DIVERGENCE MEASURE (2018) (0)
Nonparametric Bayesian functional clustering for time-course microarray data (2014) (0)
Parametric Discrete Choice Models Based on the Scale Mixtures of Multivariate Normal Distributions (running Title: Parametric Discrete Choice Models) (2007) (0)
Bayesian Hierarchical Modeling and Selection of Differentially Expressed Genes for the EST Data (2011) (0)
Abstract 300: increasing radiation dose enhances immunotherapy efficacy and together prolongs tumor dormancy in a subgroup of mice treated for advanced intracerebral melanoma (2015) (0)

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Other Resources About Lynn Kuo

en.wikipedia.org

What Schools Are Affiliated With Lynn Kuo?

Lynn Kuo is affiliated with the following schools: