Bruce G. Lindsay | Academic Influence

Bruce G. Lindsay's AcademicInfluence.com Rankings

Bruce G. Lindsay

Mathematics

#4392

World Rank

#6249

Historical Rank

#1517

USA Rank

Statistics

#433

World Rank

#502

Historical Rank

#133

USA Rank

mathematics Degrees

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Mathematics

Bruce G. Lindsay's Degrees

PhD Statistics University of California, Berkeley
Masters Statistics University of California, Berkeley
Bachelors Mathematics University of California, Berkeley

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Why Is Bruce G. Lindsay Influential?

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According to Wikipedia, Bruce George Lindsay was an American statistician best known for his contributions to mixture modeling and likelihood theory. Biography Lindsay was born in 1947 in The Dalles, Oregon. He has earned a B.A. in mathematics from the University of Oregon in 1969 and a Ph.D. in biomathematics from the University of Washington in 1978. Between his undergraduate and graduate studies he has served in the U.S. Coast Guard for four years during the Vietnam War. He joined the Pennsylvania State University faculty in 1979, heading the Department of Statistics in 1998–2000 and 2006–2012 and rising to the rank of Eberly Chair in Statistics in 2012. He was also a visiting professor at the Johns Hopkins University in 1987, the Yale University in 1990, and North Carolina State University in 2004–2005. He was elected to be a Fellow of the Institute of Mathematical Statistics in 1987, of the Guggenheim Foundation in 1996, and of the American Statistical Association in 1998.

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Bruce G. Lindsay'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

Mixture models : theory, geometry, and applications (1995) (1276)
The Geometry of Mixture Likelihoods: A General Theory (1983) (676)
Efficiency versus robustness : the case for minimum Hellinger distance and related methods (1994) (432)
Improving generalised estimating equations using quadratic inference functions (2000) (385)
Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis (1991) (293)
The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family (1994) (261)
Geometrical Foundations of Asymptotic Inference (1997) (249)
The Geometry of Mixture Likelihoods, Part II: The Exponential Family (1983) (232)
A Nonparametric Statistical Approach to Clustering via Mode Identification (2007) (224)
Monotonicity of quadratic-approximation algorithms (1988) (175)
Minimum disparity estimation for continuous models: Efficiency, distributions and robustness (1994) (174)
The topography of multivariate normal mixtures (2005) (170)
Computer-assisted analysis of mixtures (C.A.MAN) statistical algorithms (1992) (144)
Weighted Likelihood Equations with Bootstrap Root Search (1998) (137)
Moment Matrices: Applications in Mixtures (1989) (125)
A Semiparametric Mixture Approach to Case-Control Studies with Errors in Covariables (1996) (124)
Conditional score functions: Some optimality results (1982) (114)
Application of Maximum Likelihood Methods to Population Genetic Data for the Estimation of Individual Fertilities (1989) (105)
Local modal regression (2012) (100)
Bayesian Mixture Labeling by Highest Posterior Density (2009) (100)
ISSUES AND STRATEGIES IN THE SELECTION OF COMPOSITE LIKELIHOODS (2011) (99)
A Penalized Nonparametric Maximum Likelihood Approach to Species Richness Estimation (2005) (93)
Residual diagnostics for mixture models (1992) (92)
A New Index of Fit Based on Mixture Methods for the Analysis of Contingency Tables (1994) (86)
A review of semiparametric mixture models (1995) (83)
Estimating the number of classes (2007) (81)
Weighted likelihood estimating equations: The discrete case with applications to logistic regression (1997) (78)
Multivariate Normal Mixtures: A Fast Consistent Method of Moments (1993) (78)
EST clustering error evaluation and correction (2004) (75)
On second-order optimality of the observed Fisher information (1997) (65)
Moments Determine the Tail of a Distribution (But Not Much Else) (2000) (64)
Moment-Based Approximations of Distributions Using Mixtures: Theory and Applications (2000) (62)
Efficiency of the Conditional Score in a Mixture Setting (1983) (61)
Building adaptive estimating equations when inverse of covariance estimation is difficult (2003) (60)
Inference Functions and Quadratic Score Tests (2003) (58)
Alternative EM methods for nonparametric finite mixture models (2001) (51)
Uniqueness of estimation and identifiability in mixture models (1993) (50)
Nuisance parameters, mixture models, and the efficiency of partial likelihood estimators (1980) (49)
A Poisson model for the coverage problem with a genomic application (2002) (49)
On the Determinants of Moment Matrices (1989) (48)
Efficiency of projected score methods in rectangular array asymptotics (2003) (46)
Model selection in high dimensions: a quadratic‐risk‐based approach (2006) (45)
Using Empirical Partially Bayes Inference for Increased Efficiency (1985) (45)
Quadratic distances on probabilities: A unified foundation (2008) (44)
A Unified Treatment of Integer Parameter Models (1987) (41)
Properties of the Maximum Likelihood Estimator of a Mixing Distribution (1981) (39)
Testing for the number of components in a mixture of normal distributions using moment estimators (1994) (37)
Gene capture prediction and overlap estimation in EST sequencing from one or multiple libraries (2005) (33)
Exponential family mixture models (with least-squares estimators) (1986) (32)
Model Assessment Tools for a Model False World (2009) (31)
Projected score methods for approximating conditional scores (1996) (30)
Projections on cones, chi-bar squared distributions, and Weyl's formula (1997) (27)
Measuring the relative effectiveness of moment estimators as starting values in maximizing likelihoods (1994) (27)
Variance estimation of a general u-statistic with appllication to cross-validation (2014) (25)
An exponential partial prior for improving nonparametric maximum likelihood estimation in mixture models (2008) (22)
Building and using semiparametric tolerance regions for parametric multinomial models (2009) (22)
Tests and diagnostics for heterogeneity in the species problem (2003) (21)
The residual adjustment function and weighted likelihood: a graphical interpretation of robustness of minimum disparity estimators (2002) (21)
A computational strategy for doubly smoothed MLE exemplified in the normal mixture model (2010) (21)
A Simple and Accurate Method for Approximate Conditional Inference Applied to Exponential Family Models (1996) (20)
Highly Efficient Aggregate Unbiased Estimating Functions Approach for Correlated Data With Missing at Random (2010) (20)
Errors in Inspection: Integer Parameter Maximum Likelihood in a Finite Population (1985) (19)
A Note on Calculating the π* Index of Fit for the Analysis of Contingency Tables (1996) (18)
The iteratively reweighted estimating equation in minimum distance problems (2004) (17)
Statistical Distances as Loss Functions in Assessing Model Adequacy (2004) (17)
Moment-based oscillation properties of mixture models (1997) (17)
Kernels, Degrees of Freedom, and Power Properties of Quadratic Distance Goodness-of-Fit Tests (2014) (16)
A UNIVERSALLY CONSISTENT MODIFICATION OF MAXIMUM LIKELIHOOD (2013) (16)
Statistical Distances and Their Role in Robustness (2016) (16)
USING CONFIDENCE DISTRIBUTION SAMPLING TO VISUALIZE CONFIDENCE SETS (2011) (14)
Projection pursuit via white noise matrices (2010) (13)
DIAGNOSTICS FOR THE HOMOGENEITY OF INCLUSION PROBABILITIES IN A BERNOULLI CENSUS (2002) (13)
Statistica Sinica: Introduction to special issue (2011) (12)
Empirical identifiability in finite mixture models (2015) (11)
Building mixture trees from binary sequence data (2006) (10)
Nearly universal consistency of maximum likelihood in discrete models (2013) (10)
Estimating the number of classes in multiple populations: A geometric analysis (2004) (9)
Computer-assisted analysis of mixtures (C.A.MAM): statistical algorithms. (1992) (9)
Improving cross-validated bandwidth selection using subsampling-extrapolation techniques (2015) (9)
Model Building for Semiparametric Mixtures (2006) (8)
Model diagnostic tests for selecting informative correlation structure in correlated data (2008) (8)
Some variants of minimum disparity estimation (2004) (7)
Fisher information matrix: A tool for dimension reduction, projection pursuit, independent component analysis, and more (2012) (7)
A conditional composite likelihood ratio test with boundary constraints (2018) (6)
MixtureTree: a program for constructing phylogeny (2011) (6)
The residual adjustment function and weighted likelihood (2002) (5)
Aitken-based acceleration methods for assessing convergence of multilayer neural networks (2001) (5)
A Likelihood-Tuned Density Estimator Via a Nonparametric Mixture Model (2011) (5)
Convergence of the EM algorithm for continuous mixing distributions (2015) (5)
Pseudo-kernel method in U-statistic variance estimation with large kernel size (2018) (4)
A fast score test for generalized mixture models (2019) (4)
Robust Estimation and Tests based on Quadratic Inference Function (2001) (4)
Modal simulation and visualization in finite mixture models (2011) (3)
Comparing Wald and Likelihood Regions Applied to Locally Identifiable Mixture Models (2011) (3)
Improving mixture tree construction using better EM algorithms (2014) (3)
Method of Moments (2005) (2)
Mixture Tree Construction and Its Applications (2011) (2)
[Inference Based on Estimating Functions in the Presence of Nuisance Parameters]: Comment (1995) (2)
An Expansive View of EM Algorithms (2019) (1)
On mixtures of hazards: Nonparametric maximum likelihood in certain competing risk failure models (1992) (1)
Composite Likelihood Inference in a Discrete Latent Variable Model for Two-Way “Clustering-by-Segmentation” Problems (2015) (1)
Re: "A statistical method for evaluating suicide clusters and implementing cluster surveillance". (1992) (1)
DEGREES OF FREEDOM IN QUADRATIC GOODNESS OF FIT (1)
The Graduate School Mining Texts and Social Users Using Time Series and Latent Topics a Dissertation in Information Sciences and Technology (0)
Robust Phylogenetic Tree Selection Based on Assessment of Model Building Errors (2003) (0)
Model Selection and Goodness-of-t Tests for Longitudinal Data (2000) (0)
THE TOPOGRAPHY OF MULTIVARIATE NORMAL MIXTURES1 BY SURAJIT RAY (2005) (0)
Composite likelihood inference for a class of latent variable models for two factor clustering (2013) (0)
THE TOPOGRAPHY OF MULTIVARIATE NORMAL MIXTURES 1 By Surajit Ray and (2020) (0)
Sensible construction of composite likelihoods, with two case studies (2012) (0)
Discussion: Semiparametric mixture models (1991) (0)
Developments and Challenges in Mixture Models , Bump Hunting and Measurement Error Models (2002) (0)
Works Title Bayesian Mixture Labeling by Highest Posterior Density Permalink (2008) (0)
Empirical identifiability in finite mixture models (2014) (0)
A CLASSICAL INVARIANCE APPROACH TO THE NORMAL MIXTURE PROBLEM (2020) (0)
The Pennsylvania State University The Graduate School Eberly College of Science AN EM BASED TAGGING SNP SELECTION ALGORITHM INCORPORATING GENOTYPING ERRORS A Thesis in Statistics (2014) (0)
O ct 2 00 7 Model selection in High-Dimensions : A Quadratic-risk based approach (2018) (0)
Contents of volume 65, 2003 (2003) (0)
TO DETECT DIFFERENCES OF BYCATCH RATES IN SURFACE AND SUBSURFACE DRIFfNETS IN NORTH PACIFIC SQUID DRIFfNET FISHERIES (2010) (0)

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