1. Vats, D. and Flegal, J. M. (2022). Lugsail lag windows for estimating time-average covariance matrices. Biometrika, Vol. 109, 735–750.
  2. Liu, Y., Vats, D., and Flegal, J. M. (2022). Batch size selection for variance estimators in MCMC. Methodology and Computing in Applied Probability, Vol. 24, 65–93.
  3. Vats, D., Flegal, J. M., and Jones, G. L. (2022). Monte Carlo simulation: Are we there yet? In Piegorsch, W.W., Levine, R.A., Zhang, H.H., and Lee, T.C.M. (eds.). Computational Statistics in Data Science, pp. 81–98.
  4. Flegal, J. M. (2021). Invited Discussion: “Multilevel Linear Models, Gibbs Samplers and Multigrid Decompositions” by Zanella, G. and Roberts, G.. Bayesian Analysis, Vol. 4, 1352–1356.
  5. Hui, J., Flegal, J. M. and Johnson, A. A. (2021). Geometric ergodicity of a more efficient conditional Metropolis-Hastings algorithm. Communications in Statistics, Theory and Methods, Vol. 50, 4528–4547.
  6. Robertson, N., Flegal, J. M., Vats, D., and Jones, G. L. (2021). Assessing and visualizing simultaneous simulation error. Journal of Computational and Graphical Statistics, Vol. 30, 324–334.
  7. Vats, D., Robertson, N., Flegal, J. M., and Jones, G. L. (2020). Analyzing Markov chain Monte Carlo output. WIREs Comput Stat. 2020;12:e1501.
  8. Le, N. X. T., Rivas, R. Flegal, J. M., and Hristidis, V. (2019). Decrease product rating uncertainty through focused reviews solicitation. International Journal of Semantic Computing, Vol. 13, 1–25.
  9. Le, N. X. T., Rivas, R. Flegal, J. M., and Hristidis, V. (2019). Targeted solicitation of product reviews. IEEE International Conference on Semantic Computing (ICSC 2019), 308–315 (25% acceptance rate for full papers).
  10. Vats, D., Flegal, J. M., and Jones, G. L. (2019). Multivariate output analysis for Markov chain Monte Carlo. Biometrika, Vol. 106, 321–337.
  11. Hui, J., Aragon, M., Cui, X. and Flegal, J. M. (2018). A machine learning approach to galaxy-LSS classification I: Imprints on halo merger trees. Monthly Notices of the Royal Astronomical Society (MNRAS), Vol. 475, 4494–4503.
  12. Liu, Y. and Flegal, J. M. (2018). Weighted batch means estimators in Markov chain Monte Carlo. Electronic Journal of Statistics, Vol. 12, 3397–3442.
  13. Park, I. W., Hooper, J., Flegal, J. M., and Jenerette, G. D. (2018). Impacts of cli- mate, disturbance, and topography on distribution of herbaceous cover in Southern California chaparral: Insights from a remote sensing method. Diversity & Distri- butions, Vol. 24, 497–508.
  14. Roy, V., Tan, A., and Flegal, J. M. (2018). Estimating standard errors for importance sampling estimators with multiple Markov chains. Statistica Sinica, Vol. 28, 1079– 1101.
  15. Vats, D., Flegal, J. M., and Jones, G. L. (2018). Strong consistency of multivariate spectral variance estimators in Markov chain Monte Carlo. Bernoulli, Vol. 24, 1860–1909.
  16. Crackel, R. and Flegal, J. M. (2017). Bayesian inference for a flexible class of bivariate beta distributions, Journal of Statistical Computation and Simulation, Vol. 87, 295–312.
  17. Gong, L. and Flegal, J. M. (2016). A practical sequential stopping rule for high- dimensional Markov chain Monte Carlo, Journal of Computational and Graphical Statistics, Vol. 25, 684–700.
  18. Spindler, S. R., Mote, P. L. and Flegal, J. M. (2016). Combined statin and angiotensin converting enzyme (ACE) inhibitor treatment increases the lifespan of long-lived F1 male mice. AGE (Journal of the American Aging Association), Vol. 38, 379–391.
  19. Flegal, J. M. and Gong, L. (2015). Relative fixed-width stopping rules for Markov chain Monte Carlo simulations, Statistica Sinica, Vol. 25, 655–676.
  20. Spindler, S. R., Mote, P. L. Lublin, A. A., Flegal, J. M., Dhahbi, J. M. and Li, R. (2015). Nordihydroguaiaretic acid extends the lifespan of Drosophila and mice, increases mortality-related tumors and hemorrhagic diathesis, and alters energy homeostasis in mice, Journal of Gerontology: Biological Sciences, Vol. 70, 1479– 1489.
  21. Doss, C. R., Flegal, J. M., Jones, G. L. and Neath, R. C. (2014). Markov chain Monte Carlo estimation of quantiles, Electronic Journal of Statistics, Vol. 8, 2448-2478.
  22. Jeske, D. R., Flegal, J. M. and Spindler, S. R. (2014). Minimum size survival analysis sampling plans for comparing multiple treatment groups to a single control group, Communications in Statistics, Theory and Methods, Vol. 43, No. 13, 2689–2701. Johnson, A. A. and Flegal, J. M. (2014). A modified conditional Metropolis-Hastings sampler, Computational Statistics & Data Analysis, Vol. 78, 141–152.
  23. Spindler, S. R., Mote, P. L. and Flegal, J. M. (2014). Lifespan effects of simple and complex nutraceutical combinations fed isocalorically to mice, AGE (Journal of the American Aging Association), Vol. 36, No. 2, 705–718.
  24. Spindler, S. R., Mote, P. L. and Flegal, J. M. (2014). Dietary supplementation with krill oil and Lovaza shortens the lifespan of long-lived F1 mice, AGE (Journal of the American Aging Association), Vol. 36, No. 3, 1345–1352.
  25. Spindler, S. R., Mote, P. L., Flegal, J. M. and Teter, B. (2013). Influence on longevity of blueberry, cinnamon, green and black tea, pomegranate, sesame, curcumin, morin, Pycnogenol, quercetin and taxifolin fed isocalorically to long-lived, out- crossed mice, Rejuvenation Research, Vol. 16(2), 143–151.
  26. Spindler, S. R., Mote, P. L., Li, R., Dhahbi, J. M., Yamakawa, A., Flegal, J. M., Jeske, D. R. and Lublin, A. L. (2013). β1-adrenergic receptor blockade with metoprolol or nebivolol extends the lifespan of Drosophila and long-lived mice, AGE (Journal of the American Aging Association), Vol. 35, No. 6, 2099–2109.
  27. Flegal, J. M. (2012). Applicability of subsampling bootstrap methods in Markov chain Monte Carlo, Monte Carlo and Quasi-Monte Carlo Methods 2010, Editors, Woz- niakowski, H. and Plaskota, L., Springer Proceedings in Mathematics & Statistics, 23, 363–372.
  28. Flegal, J. M.† and Herbei, R. (2012). Exact sampling for intractable probability distributions via a Bernoulli factory, Electronic Journal of Statistics, Vol. 6, 10–37.
  29. Flegal, J. M. and Jones, G. L. (2011). Implementing Markov chain Monte Carlo: Estimating with confidence, Handbook of Markov Chain Monte Carlo, Editors, Brooks, S.P., Gelman, A.E., Jones, G.L., and Meng, X.L., Chapman & Hall/CRC Press, 175–197.
  30. Flegal, J. M. and Jones, G. L. (2010). Batch Means and spectral variance estimators in Markov chain Monte Carlo, The Annals of Statistics, Vol. 38, No. 2, 1034–1070.
  31. Flegal, J. M., Haran, M. and Jones, G. L. (2008). Markov chain Monte Carlo: Can we trust the third significant figure? Statistical Science, Vol. 23, No. 2, 250–260.

Submitted and In Preparation

  1. Flegal, J. M. and Kurtz-Garcia, R. P. (2023). Implementing MCMC: Multivariate estimation with confidence. Invited submission to Handbook of Markov Chain Monte Carlo (2nd Edition).
  2. Flegal, J. M., Jones, G. L., Nilakanta, H., and Yang, J (2023). Simultaneous confidence bands for (Markov chain) Monte Carlo simulations. In preparation.
  3. Kurtz-Garcia, R. P. and Flegal, J. M. (2023) Testing optimal bandwidth for zero lugsail estimators. In preparation.
  4. Bastola, D., Flegal, J. M., and Vats, D. (2023+). Higher order optimal batch sizes for estimating long-run variances. In preparation.