C. Geyer

发表

Estimating Normalizing Constants and Reweighting Mixtures

C. Geyer, 1994 .

Markov Chain Monte Carlo Maximum Likelihood

C. Geyer, 1991 .

On the Asymptotics of Constrained $M$-Estimation

C. Geyer, 1994 .

Discussion: Markov Chains for Exploring Posterior Distributions

C. Geyer, K. Chan, 1994 .

Simulation Procedures and Likelihood Inference for Spatial Point Processes

C. Geyer, J. Møller, 1994 .

Inferences from multinomial data: Learning about a bag of marbles - Discussion

L. Wasserman, I. Good, D. Cox, 1996 .

Geometric Ergodicity of Gibbs and Block Gibbs Samplers for a Hierarchical Random Effects Model

C. Geyer, J. Hobert, 1998 .

Practical Markov Chain Monte Carlo

Charles J. Geyer, C. Geyer, 1992 .

Fuzzy and randomized confidence intervals and P-values

C. Geyer, G. Meeden, 2005 .

Correction: Variable transformation to obtain geometric ergodicity in the random-walk Metropolis algorithm

C. Geyer, Leif Johnson, 2012, 1302.6741.

The Wald Consistency Theorem

C. Geyer, 2012 .

Maximum likelihood for interval censored data: Consistency and computation

C. Geyer, R. Gentleman, 1994 .

Ordering Monte Carlo Markov Chains

Antonietta Mira, Charles J. Geyer, C. Geyer, 1999 .

Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist

Daniel J. Eck, C. Geyer, 2018, Electronic Journal of Statistics.

Baby Measure Theory

C. Geyer, 2016 .

The genetic analysis of age-dependent traits: modeling the character process.

C. Geyer, S. Pletcher, S D Pletcher, 1999, Genetics.

Unifying Life‐History Analyses for Inference of Fitness and Population Growth

Charles J. Geyer, Julie R. Etterson, Ruth G. Shaw, 2008, The American Naturalist.

INFERRING FITNESS LANDSCAPES

C. Geyer, R. Shaw, R. G. Shaw, 2010, Evolution; international journal of organic evolution.

Markov Chains

C. Geyer, 2012 .

Bayes Factors via Serial Tempering

C. Geyer, 2010 .

A COMPREHENSIVE MODEL OF MUTATIONS AFFECTING FITNESS AND INFERENCES FOR ARABIDOPSIS THALIANA

C. Geyer, R. Shaw, F. Shaw, 2002, Evolution; international journal of organic evolution.

Adaptive regularization using the entire solution surface.

C. Geyer, Xiaotong Shen, C J Geyer, 2009, Biometrika.

Likelihood inference for spatial point processes

Charles J. Geyer, C. Geyer, 2019, Stochastic Geometry.

Markov Chain Monte Carlo Lecture Notes

Charles J. Geyer, C. Geyer, 2005 .

Adaptive Regularization through Entire Solution Surface

C. Geyer, Xiaotong Shen, WU Seongho, 2008 .

Geometric ergodicity of a random-walk Metropolis algorithm for a transformed density

C. Geyer, Leif Johnson, 2010 .

Yet More Supporting Data Analysis for “Unifying Life History Analysis for Inference of Fitness and Population Growth”

Charles J. Geyer, Julie R. Etterson, Ruth G. Shaw, 2007 .

On Non-reversible Markov Chains

C. Geyer, 2000 .

Annealing Markov chain Monte Carlo with applications to ancestral inference

C. Geyer, E. Thompson, 1995 .

Monte carlo likelihood inference for missing data models

C. Geyer, Y. Sung, 2007, 0708.2184.

INFERRING FITNESS LANDSCAPES

C. Geyer, R. Shaw, R. G. Shaw, 2010, Evolution; international journal of organic evolution.

The Metropolis-Hastings-Green Algorithm

C. Geyer, 2005 .

A Philosophical Look at Aster Models

C. Geyer, 2010 .

Design Document for Random Effects Aster Models

C. Geyer, 2012 .

Supplementary Material for "Asymptotics of Maximum Likelihood without the LLN or CLT or Sample Size Going to Infinity"

C. Geyer, 2005, 1206.4762.

LOCAL ADAPTATION AND GENETIC EFFECTS ON FITNESS: CALCULATIONS FOR EXPONENTIAL FAMILY MODELS WITH RANDOM EFFECTS

C. Geyer, C. Ridley, J. Etterson, 2013, 1311.7482.

Supplementary Material for "Asymptotics of Maximum Likelihood without the LLN or CLT or Sample Size Going to Infinity"

C. Geyer, 2005, 1206.4762.

Automatic Response Category Combination in Multinomial Logistic Regression

Bradley S. Price, Adam J. Rothman, C. Geyer, 2017, Journal of Computational and Graphical Statistics.

Constrained Monte Carlo Maximum Likelihood for Dependent Data

C. Geyer, E. Thompson, 1992 .

Fuzzy P -values and Ties in Nonparametric Tests

C. Geyer, 2013 .

Toward reconciling inferences concerning genetic variation in senescence in Drosophila melanogaster.

C. Geyer, K. Hughes, D. Promislow, 1999, Genetics.

WHAT FRACTION OF MUTATIONS REDUCES FITNESS? A REPLY TO KEIGHTLEY AND LYNCH

C. Geyer, R. Shaw, F. Shaw, 2003 .

On the Convergence of Monte Carlo Maximum Likelihood Calculations

C. Geyer, 1994 .

The susceptibility of Echinacea angustifolia to a specialist aphid: eco‐evolutionary perspective on genotypic variation and demographic consequences

C. Geyer, R. Shaw, S. Wagenius, 2015 .

THE ADMISSIBILITY OF THE MAXIMUM LIKELIHOODESTIMATOR FOR DECOMPOSABLE LOG-LINEARINTERACTION MODELS FOR CONTINGENCY

C. Geyer, G. Meeden, J. Lang, 1998 .

The admissibility of the maximum likelihood estimator for decomposable log-linear interaction models for contingency tables

Glen D Meeden, Charles J. Geyer, C. Geyer, 1998 .

Supplementary Material for "Asymptotics of Maximum Likelihood without the LLN or CLT or Sample Size Going to Infinity"

C. Geyer, 2005, 1206.4762.

Ridge Fusion in Statistical Learning

Charles J. Geyer, Bradley S. Price, Adam J. Rothman, 2013, ArXiv.

Commentary on Lande-Arnold Analysis

C. Geyer, R. G. Shaw, 2008 .

Constrained Maximum Likelihood Exemplified by Isotonic Convex Logistic Regression

Charles J. Geyer, C. Geyer, 1991 .

Computing the Join Range of a Set of Expectations

Charles Geyer, Radu Lazar, Glen Meeden, 2005, ISIPTA.

A COMPREHENSIVE MODEL OF MUTATIONS AFFECTING FITNESS AND INFERENCES FOR ARABIDOPSIS THALIANA

C. Geyer, F. Shaw, R. G. Shaw, 2002, Evolution; international journal of organic evolution.

Introduction to Markov Chain Monte Carlo

Charles J. Geyer, C. Geyer, 2011 .

C. Geyer, E. Thompson, L. Chemnick, 1993 .

Gene survival in the asian wild horse (Equus przewalskii). II: Gene survival in the whole population, in subgroups, and through history

C. Geyer, E. Thompson, O. Ryder, 1989 .

Gene survival in the Asian wild horse (Equus przewalskii): I. Dependence of gene survival in the calgary breeding group pedigree

C. Geyer, E. Thompson, 1988 .

An integrated analysis of phenotypic selection on insect body size and development time

Daniel J. Eck, C. Geyer, J. Kingsolver, 2015, Evolution; international journal of organic evolution.

Combining envelope methodology and aster models for variance reduction in life history analyses

Daniel J. Eck, C. Geyer, R. Cook, 2017, Journal of Statistical Planning and Inference.

Nonstandard Central Limit Theorems for Markov Chains

Charles J. Geyer, Bernardo B. de Andrade, C. Geyer, 2011, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Aster models for life history analysis

Charles J. Geyer, Ruth G. Shaw, Stuart Wagenius, 2007 .

Computational Methods for Semiparametric Linear Regression with Censored Data

Charles J. Geyer, Danyu Lin, C. Geyer, 1992 .

Likelihood‐based inference for generalized linear mixed models: Inference with the R package glmm

Galin L. Jones, C. Geyer, Christina Knudson, 2020, Stat.

Do Interactions among Microbial Symbionts Cause Selection for Greater Pathogen Virulence?

Daniel J. Eck, C. Geyer, G. May, 2021, The American Naturalist.

Spatial Lattice Processes

C. Geyer, 2016 .

Spatial Point Processes

C. Geyer, 2016 .

Likelihood and Exponential Families

Charles J. Geyer, C. Geyer, 1990 .

Three Papers on Maximum Likelihood in Exponential Families

C. Geyer, Elizabeth, Thompson, 1990 .

Estimation and Optimization of Functions

Charles J. Geyer, C. Geyer, 1996 .

Importance Sampling, Simulated Tempering, and Umbrella Sampling

Charles J. Geyer, C. Geyer, 2011 .

Supporting Theory and Data Analysis for "Long Range Search for Maximum Likelihood in Exponential Families"

C. Geyer, S. Okabayashi, 2011 .

Bootstrap Recycling: A Monte Carlo Alternative to the Nested Bootstrap

Charles J. Geyer, Michael A. Newton, M. Newton, 1994 .

WHAT FRACTION OF MUTATIONS RED.UCES FITNESS? A REPLY TO KEIGHTLEY AND LYNCH

C. Geyer, R. Shaw, F. Shaw, 2003 .

Likelihood inference in exponential families and directions of recession

Charles J. Geyer, C. Geyer, 2009, 0901.0455.

SURREAL TIME AND ULTRATASKS

Charles J. Geyer, Haidar Al-Dhalimy, C. Geyer, 2016, The Review of Symbolic Logic.

Likelihood Inference for Spatial Point Processes: Likelihood and Computation

Charles J. Geyer, C. Geyer, 1999 .

Fuzzy p-values in latent variable problems

Charles J. Geyer, Elizabeth A. Thompson, C. Geyer, 2007 .

Reweighting Monte Carlo Mixtures

Charles J. Geyer, C. Geyer, 1991 .

Model Selection in Estimation of Fitness Landscapes

Charles J. Geyer, Ruth G. Shaw, C. Geyer, 2009 .

Le Cam Made Simple : Asymptotics of Maximum Likelihood without the LLN or CLT or Sample Size Going to Infinity

C. Geyer, 2017 .

Unifying Life‐History Analyses for Inference of Fitness and Population Growth

Julie R. Etterson, C. Geyer, J. Etterson, 2008, The American Naturalist.

Estimation and testing in constrained covariance component models

Charles J. Geyer, C. Geyer, F. Shaw, 1997 .

Asymptotics for Constrained Dirichlet Distributions

Glen D Meeden, Charles J. Geyer, C. Geyer, 2013 .

A Theory of Commercial Yarn Testing

C. Geyer, G. Halsey, C. Reichardt, 1948 .