David A. Stephens

发表

Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction

C. Jessica E. Metcalf, David A. Stephens, Mark Rees, 2009 .

Markov Chain Monte Carlo Methods and the Label Switching Problem in Bayesian Mixture Modeling

Ajay Jasra, David A. Stephens, Christopher Holmes, 2005 .

Dynamic Treatment Regimen Estimation via Regression-Based Techniques: Introducing R Package DTRreg

Erica E. M. Moodie, David A. Stephens, Michael P. Wallace, 2017 .

Methodology for Quantitative Analysis of 3-D Nuclear Architecture

Richard A. Russell, Niall M. Adams, Paul S. Freemont, 2011 .

Bayesian Edge-Detection in Images via Changepoint Methods

A. F. M. Smith, David A. Stephens, A. F. Smith, 1993 .

Population-Based Reversible Jump Markov Chain Monte Carlo

Ajay Jasra, David A. Stephens, Chris C. Holmes, 2007, 0711.0186.

Discussion of "Deductive derivation and turing-computerization of semiparametric efficient estimation" by Frangakis et al.

David A. Stephens, 2015, Biometrics.

A Flexible Semi-Parametric Approach to Estimating a Dose-Response Relationship: the Treatment of Childhood Amblyopia.

Erica E. M. Moodie, David A. Stephens, E. Moodie, 2007 .

A Bayesian Approach to Modeling Multivariate Multilevel Insurance Claims in the Presence of Unsettled Claims

David A. Stephens, Christian Genest, Marie-Pier Côté, 2020 .

Bayesian Field Theory

David A. Stephens, D. Stephens, 2004 .

An ethnographic case study of the processes and procedures used by the transition steering committee to implement the report of the Transition Planning Commission to merge the Memphis City Schools and Shelby County Schools

David A. Stephens, 2015 .

Comment: Clarifying Endogeneous Data Structures and Consequent Modelling Choices Using Causal Graphs

Erica E. M. Moodie, David A. Stephens, 2020 .

The role of exchangeability in causal inference

Erica E. M. Moodie, David A. Stephens, Olli Saarela, 2020, 2006.01799.

Bayesian inference for continuous-time hidden Markov models with an unknown number of states

David A. Stephens, Yu Luo, D. Stephens, 2021, Statistics and Computing.

Bayesian Doubly Robust Causal Inference via Loss Functions

Daniel J. Graham, David A. Stephens, Emma J. McCoy, 2021 .

Estimation of Optimal Dynamic Treatment Regimes via Gaussian Process Emulation: A Technical Report

David A. Stephens, Daniel Rodriguez Duque, Erica E.M. Moodie, 2021 .

Bayesian Sample Size Calculations for SMART Studies

Sylvie D. Lambert, David A. Stephens, Erica E. M. Moodie, 2021, 2108.01041.

Inference for Lévy‐Driven Stochastic Volatility Models via Adaptive Sequential Monte Carlo

Arnaud Doucet, Ajay Jasra, David A. Stephens, 2011 .

BAYESIAN ANALYSIS OF QUANTITATIVE TRAIT LOCUS DATA USING REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO

David A. Stephens, D. Stephens, R. D. Fisch, 1998 .

Linear growth faltering in infants is associated with Acidaminococcus sp. and community-level changes in the gut microbiota

David A. Stephens, Rebecca J. Stoltzfus, Erica E.M. Moodie, 2015, Microbiome.

Bayesian analysis of discrete time warranty data

David A. Stephens, Martin Crowder, D. Stephens, 2004 .

Bayesian time series analysis of periodic behaviour and spectral structure

David A. Stephens, Emma J. McCoy, D. Stephens, 2004 .

Bayesian Theory and Applications

Petros Dellaportas, Paul Damien, Nicholas G. Polson, 2013 .

Bayesian Mixture Modelling in Geochronology via Markov Chain Monte Carlo

Ajay Jasra, David A. Stephens, Christopher Holmes, 2006 .

Charpy Impact Energy Data: a Markov Chain Monte Carlo Analysis

A. F. M. Smith, David A. Stephens, D. A. Stephens, 1997 .

Quantifying the effect of area deprivation on child pedestrian casualties by using longitudinal mixed models to adjust for confounding, interference and spatial dependence

Daniel J. Graham, David A. Stephens, Emma J. McCoy, 2013 .