J. Booth

发表

Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm

J. Booth, J. Hobert, 1999 .

Resampling-Based Multiple Testing.

J. Booth, S. Young, P. Westfall, 1994 .

Standard Errors of Prediction in Generalized Linear Mixed Models

J. Booth, J. Hobert, 1998 .

2. Random-Effects Modeling of Categorical Response Data

J. Booth, J. Hobert, A. Agresti, 2000 .

Monte Carlo Approximation of Bootstrap Variances

J. Booth, S. Sarkar, 1998 .

Penalized Versus Constrained Generalized Eigenvalue Problems

J. Booth, M. Wells, Irina Gaynanova, 2014, 1410.6131.

Supervised Classification Using Sparse Fisher's LDA

J. Booth, M. Wells, Irina Gaynanova, 2013, 1301.4976.

Efficiency of Monte Carlo EM and Simulated Maximum Likelihood in Two-Stage Hierarchical Models

Wolfgang Jank, James G. Booth, J. Booth, 2003 .

Integrative Model-based clustering of microarray methylation and expression data

J. Booth, A. Melnick, Matthias Kormaksson, 2012, 1210.0702.

Clustering using objective functions and stochastic search

G. Casella, J. Booth, J. Hobert, 2008 .

Bootstrap Methods for Finite Populations

P. Hall, J. Booth, R. Butler, 1994 .

Simultaneous Sparse Estimation of Canonical Vectors in the p ≫ N Setting

Martin T. Wells, James G. Booth, Irina Gaynanova, 2014, 1403.6095.

Improved Estimation of Dissimilarities by Presmoothing Functional Data

George Casella, James G. Booth, David B. Hitchcock, 2006 .

Monte Carlo conditional inference for log-linear and logistic models: a survey of current methodology

J. Booth, B. Caffo, B S Caffo, 2003, Statistical methods in medical research.

A Markov chain Monte Carlo Algorithm for Approximating Exact Conditional Probabilities

Brian S. Caffo, James G Booth, J. Booth, 2001 .

A GENERAL SOLUTION FOR THE EPIDEMIC WITH CARRIERS

J. Gani, J. Booth, M. Malice, 1986 .

Exact Conditional P Value Calculation for the Quasi-Symmetry Model

J. Booth, M. Capanu, L. Heigenhauser, 2005 .

A Multivariate Variance Components Model for Analysis of Covariance in Designed Experiments

J. Booth, M. Wells, R. Wolfinger, 2009, 1001.3011.

STSCI/BTRY 4030 "Linear Models with Matrices"

J. Booth, L. Tupper, 2013 .

Rank-based approach for estimating correlations in mixed ordinal data

J. Booth, M. Wells, Xiaoyun Quan, 2018, 1809.06255.

Bootstrap Confidence Regions for Functional Relationships in Errors-in- Variables Models

P. Hall, J. Booth, 1993 .

A note on a one-compartment model with clustering

J. Booth, 1992, Journal of Applied Probability.

Facilitating high‐dimensional transparent classification via empirical Bayes variable selection

Martin T. Wells, Kangyan Liu, James Booth, 2018, Applied Stochastic Models in Business and Industry.

G. Casella, J. Booth, J. Hobert, 2006 .

On the limiting behaviour of Downton's carrier epidemic in the case of a general infection mechanism

J. Booth, 1989, Journal of Applied Probability.

Politics, Religion, and Society: Is The United States Experiencing a Period of Religious-Political Polarization?

J. Booth, T. Hirschl, L. Glenna, 2012 .

The Link Between Voter Choice and Religious Identity in Contemporary Society: Bringing Classical Theory Back In*

J. Booth, T. Hirschl, L. Glenna, 2009 .

Biometrics and Statistical Science at Cornell

Martin T. Wells, James G. Booth, J. Booth, 2012 .

Model-based Bayesian clustering (MBBC)

Yongsung Joo, George Casella, James G. Booth, 2008, Bioinform..

Gene expression Model-based Bayesian clustering ( MBBC )

G. Casella, J. Booth, Y. Joo, 2008 .

MBBC: Model-Based Bayesian Clustering

Yongsung Joo, George Casella, James G. Booth, 2006 .

Mixed effect modelling and variable selection for quantile regression

Martin T. Wells, Haim Bar, James Booth, 2021, Statistical Modelling.

Randomization distributions and saddlepoint approximations in generalized linear models

Ronald W. Butler, James G. Booth, J. Booth, 1990 .

Quantile Regression Modelling via Location and Scale Mixtures of Normal Distributions

J. Booth, M. Wells, H. Bar, 2019, 1910.11479.

A survey of Monte Carlo algorithms for maximizing the likelihood of a two-stage hierarchical model

Wolfgang Jank, James P. Hobert, James G. Booth, 2001 .

A Bivariate Model for Simultaneous Testing in Bioinformatics Data

Martin T. Wells, James G. Booth, Haim Bar, 2014 .

SnIPRE: Selection Inference Using a Poisson Random Effects Model

James G. Booth, Carlos D. Bustamante, Kirsten E. Eilertson, 2012, PLoS Comput. Biol..

Experiments with the Site Frequency Spectrum

Kevin R. Thornton, P. Donnelly, G. McVean, 2011, Bulletin of mathematical biology.

Negative binomial loglinear mixed models

Herwig Friedl, George Casella, James P. Hobert, 2003 .

A Mixture-Model Approach for Parallel Testing for Unequal Variances

Martin T. Wells, James G. Booth, Haim Y. Bar, 2012, Statistical applications in genetics and molecular biology.

Generalised regression estimation via the bootstrap

J. Booth, A. Welsh, 2020, Australian & New Zealand Journal of Statistics.

Life Table Analysis using Weighted Survey Data

J. Booth, T. Hirschl, 2005 .

Resampling Methods for Sample Surveys

James G. Booth, J. Booth, 1999 .

Normalization of Dye Bias in Microarray Data Using the Mixture of Splines Model

Keunbaik Lee, Yongsung Joo, George Casella, 2007, Statistical applications in genetics and molecular biology.

A Scalable Empirical Bayes Approach to Variable Selection

Martin T. Wells, James G. Booth, Haim Y. Bar, 2015, 1510.03781.

An importance sampling algorithm for exact conditional tests in log-linear models

Ronald W. Butler, James G. Booth, J. Booth, 1999 .

Counting Tables Using the Double-Saddlepoint Approximation

Ruriko Yoshida, James G. Booth, Vadim Zipunnikov, 2009 .

Laplace Approximated EM Microarray Analysis: An Empirical Bayes Approach for Comparative Microarray Experiments

Martin T. Wells, Haim Bar, Elizabeth Schifano, 2010, 1101.0905.

Local Influence of Predictors in Multiple Linear Regression

Ramon C. Littell, James G. Booth, Glen Hartless, 2003, Technometrics.

Monte Carlo EM for Generalized Linear Mixed Models using Randomized Spherical Radial Integration

James G. Booth, J. Booth, Vadim V. Zipunnikovand, 2006 .

Saddlepoint Approximations for Tests of Block Independence, Sphericity and Equal Variances and Covariances

J. Booth, R. Butler, S. Huzurbazar, 1993 .

Statistical quality control at statistics canada

J. Booth, W. Mudryk, 1985 .

RRmix: A method for simultaneous batch effect correction and analysis of metabolomics data in the absence of internal standards

Martin T. Wells, Stephen Salerno, Mahya Mehrmohamadi, 2017, PloS one.

Saddlepoint approximations for P-values of some tests of covariance matrices

Ronald W. Butler, James G. Booth, Andrew T. A. Wood, 1995 .

Bootstrap Estimation of Conditional Distributions

P. Hall, J. Booth, A. Wood, 1992 .

downloads , and citations : randomised controlled trial

Philip M. Davis, Daniel H. Simon, J. Booth, 2008 .

An improvement of the jackknife distribution function estimator

James G. Booth, Peter Hall, P. Hall, 1993 .

Monte Carlo approximation and the iterated bootstrap

James G. Booth, Peter Hall, P. Hall, 1994 .

Empirical supremum rejection sampling

Brian S. Caffo, Anthony C. Davison, James G. Booth, 2002 .

Saddlepoint approximations for the Bartlett-Nanda-Pillai trace statistic in multivariate analysis

J. Booth, R. Butler, S. Huzurbazar, 1992 .

Allocation of Monte Carlo Resources for the Iterated Bootstrap

James G. Booth, Brett Presnell, B. Presnell, 1998 .

The effect of pre-smoothing functional data on cluster analysis

George Casella, James G. Booth, David B. Hitchcock, 2007 .

A Scalable Empirical Bayes Approach to Variable Selection in Generalized Linear Models

J. Booth, M. Wells, H. Bar, 2018, Journal of Computational And Graphical Statistics.

Variational Bayes for Hierarchical Mixture Models

Martin T. Wells, James G. Booth, Muting Wan, 2018 .

An example in which the Lugannani-Rice saddlepoint formula fails

James G. Booth, Andrew T. A. Wood, J. Booth, 1995 .

Saddlepoint Approximations to the CDF of Some Statistics with Nonnormal Limit Distributions

Ronald W. Butler, James G. Booth, Andrew T. A. Wood, 1993 .

Balanced importance resampling for the bootstrap

James G. Booth, Andrew T. A. Wood, Peter Hall, 1993 .

Closed form GLM cumulants and GLMM tting with a SQUAR-EM-LA 2 algorithm.

J. Booth, V. Zipunnikov, 2011 .

On the probable error of the ratio of two gamma means

J. Booth, J. Hobert, P. A. Ohman, 1999 .