James M. Flegal

发表

New visualizations for Monte Carlo simulations

Galin L. Jones, Nathan Robertson, James M. Flegal, 2019 .

Implementing MCMC: Estimating with Confidence

Galin L. Jones, James M. Flegal, Galin L. Jones, 2011 .

Analyzing Markov chain Monte Carlo output

Galin L. Jones, Nathan Robertson, James M. Flegal, 2020, WIREs Computational Statistics.

Markov chain Monte Carlo: Can we trust the third significant figure?

Murali Haran, Galin L. Jones, James M. Flegal, 2007, math/0703746.

A modified conditional Metropolis-Hastings sampler

Alicia A. Johnson, James M. Flegal, 2014, Comput. Stat. Data Anal..

Targeted Solicitation of Product Reviews

Vagelis Hristidis, James M. Flegal, Nhat X. T. Le, 2019, 2019 IEEE 13th International Conference on Semantic Computing (ICSC).

Decrease Product Rating Uncertainty Through Focused Reviews Solicitation

Vagelis Hristidis, James M. Flegal, Nhat X. T. Le, 2019, Int. J. Semantic Comput..

Sweave Documentation for "Implementing Markov chain Monte Carlo: Estimating with confidence"

Galin L. Jones, James M. Flegal, 2010 .

Monte Carlo Standard Errors for Markov Chain Monte Carlo

James M. Flegal, 2008 .

Lugsail lag windows for estimating time-average covariance matrices

James M. Flegal, Dootika Vats, 2021, Biometrika.

Monte Carlo Simulation: Are We There Yet?

James M. Flegal, Dootika Vats, Galin L. Jones, 2021 .

Multivariate output analysis for Markov chain Monte Carlo

James M. Flegal, Galin L. Jones, D. Vats, 2015, Biometrika.

Batch means and spectral variance estimators in Markov chain Monte Carlo

James M. Flegal, Galin L. Jones, 2008, 0811.1729.

Strong consistency of multivariate spectral variance estimators in Markov chain Monte Carlo

James M. Flegal, Galin L. Jones, D. Vats, 2015, Bernoulli.

Estimating standard errors for importance sampling estimators with multiple Markov chains

James M. Flegal, Vivekananda Roy, Aixin Tan, 2015, 1509.06310.

Relative fixed-width stopping rules for Markov chain Monte Carlo simulations

James M. Flegal, Lei Gong, 2013, 1303.0238.

Lugsail lag windows and their application to MCMC

James M. Flegal, Dootika Vats, Dootika Vats, 2018 .

Bayesian inference for a flexible class of bivariate beta distributions

James M. Flegal, Roberto C. Crackel, 2014 .

Analyzing MCMC Output

James M. Flegal, Dootika Vats, Galin L. Jones, 2019, 1907.11680.

A Practical Sequential Stopping Rule for High-Dimensional Markov Chain Monte Carlo

James M. Flegal, Lei Gong, Lei Gong, 2016 .

Strong Consistency of Multivariate Spectral Variance Estimators

James M. Flegal, Dootika Vats, Galin L. Jones, 2015, 1507.08266.

A practical sequential stopping rule for high-dimensional MCMC and its application to spatial-temporal Bayesian models

James M. Flegal, Lei Gong, Lei Gong, 2014 .

Applicability of Subsampling Bootstrap Methods in Markov Chain Monte Carlo

James M. Flegal, 2012 .

Exact sampling for intractable probability distributions via a Bernoulli factory

Radu Herbei, James M. Flegal, Radu Herbei, 2012 .

Multivariate Output Analysis for Markov Chain Monte

James M. Flegal, Galin L. Jones, Dootika, 2015 .

Markov chain Monte Carlo estimation of quantiles

James M. Flegal, Charles R. Doss, Galin L. Jones, 2012, 1207.6432.

Geometric ergodicity of a more efficient conditional Metropolis-Hastings algorithm

Alicia A. Johnson, James M. Flegal, Jianan Hui, 2020 .

Bayesian model selection on linear mixed-effects models for comparisons between multiple treatments and a control

James M. Flegal, Lei Gong, S. Spindler, 2015, 1509.07510.

A machine learning approach to galaxy-LSS classification - I. Imprints on halo merger trees

Xinping Cui, Miguel A. Aragon-Calvo, James M. Flegal, 2018, 1803.11156.

β1-Adrenergic receptor blockade extends the life span of Drosophila and long-lived mice

James M. Flegal, J. Dhahbi, D. Jeske, 2013, AGE.

Lugsail lag windows for estimating time-average covariance matrices

James M. Flegal, D. Vats, 2018, Biometrika.

Optimal batch sizes for variance estimators in MCMC

James M. Flegal, D. Vats, Y. Liu, 2018 .

Chapter 1 Implementing Markov chain Monte Carlo : Estimating with confidence

James M. Flegal, Galin L. Jones, 2010 .

Optimal mean squared error bandwidth for spectral variance estimators in MCMC simulations

James M. Flegal, Y. Liu, Dootika Vats, 2018, 1804.05975.

Weighted batch means estimators in Markov chain Monte Carlo.

James M. Flegal, Y. Liu, 2018, 1805.08283.

Batch Size Selection for Variance Estimators in MCMC

James M. Flegal, D. Vats, Y. Liu, 2018, Methodology and Computing in Applied Probability.

Dietary supplementation with Lovaza and krill oil shortens the life span of long-lived F1 mice

James M. Flegal, S. Spindler, P. Mote, 2014, AGE.

Approximate Bayesian computation for a flexible class of bivariate beta distributions

James M. Flegal, Roberto C. Crackel, Roberto Crackel, 2014 .

UNIVERSITY OF CALIFORNIA RIVERSIDE Fixed-Width Stopping Procedures for Markov Chain Monte Carlo A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Applied Statistics by

James M. Flegal, Y. Liu, S. Chowdhury, 2015 .

Bayesian inference for a flexible class of bivariate beta distributions

James M. Flegal, Roberto C. Crackel, Roberto Crackel, 2014, 1402.1782.

Markov chain Monte Carlo: Can we trust the third significant figure?

James M. Flegal, Galin L. Jones, M. Haran, 2007, math/0703746.

Influence on longevity of blueberry, cinnamon, green and black tea, pomegranate, sesame, curcumin, morin, pycnogenol, quercetin, and taxifolin fed iso-calorically to long-lived, F1 hybrid mice.

James M. Flegal, B. Teter, S. Spindler, 2013, Rejuvenation research.

Lifespan effects of simple and complex nutraceutical combinations fed isocalorically to mice

James M. Flegal, S. Spindler, P. Mote, 2013, AGE.

Combined statin and angiotensin-converting enzyme (ACE) inhibitor treatment increases the lifespan of long-lived F1 male mice

James M. Flegal, S. Spindler, P. Mote, 2016, AGE.

Batch Size Selection for Variance Estimators in MCMC

James M. Flegal, Ying-Hsing Liu, Dootika Vats, 2021, Methodology and Computing in Applied Probability.

Nordihydroguaiaretic Acid Extends the Lifespan of Drosophila and Mice, Increases Mortality-Related Tumors and Hemorrhagic Diathesis, and Alters Energy Homeostasis in Mice

James M. Flegal, J. Dhahbi, A. Lublin, 2014, The journals of gerontology. Series A, Biological sciences and medical sciences.

Chapter 1 Implementing Markov chain Monte Carlo : Estimating with confidence

James M. Flegal, Galin L. Jones, 2010 .

Minimum Size Survival Analysis Sampling Plans for Comparing Multiple Treatment Groups to a Single Control Group

Daniel R. Jeske, James M. Flegal, D. Jeske, 2014 .

Lifespan effects of simple and complex nutraceutical combinations fed isocalorically to mice

James M. Flegal, S. Spindler, P. Mote, 2014, AGE.

Dietary supplementation with Lovaza and krill oil shortens the life span of long-lived F1 mice

James M. Flegal, S. Spindler, P. Mote, 2014, AGE.

β1-Adrenergic receptor blockade extends the life span of Drosophila and long-lived mice

Daniel R. Jeske, James M. Flegal, J. Dhahbi, 2013, AGE.

Impacts of climate, disturbance and topography on distribution of herbaceous cover in Southern California chaparral: Insights from a remote‐sensing method

James M. Flegal, G. D. Jenerette, J. Hooper, 2018 .

New visualizations for Monte Carlo simulations

James M. Flegal, Galin L. Jones, Nathan Robertson, 2019 .

Fundamentals of Probability with Stochastic Processes, 4th ed. Saeed Ghahramani.

James M. Flegal, 2021 .

Assessing and Visualizing Simultaneous Simulation Error

James M. Flegal, Galin L. Jones, Nathan Robertson, 2019, J. Comput. Graph. Stat..