| Statistical evaluation of experimental determinations of neutrino mass hierarchy X Qian, A Tan, W Wang, JJ Ling, RD McKeown, C Zhang Physical Review D—Particles, Fields, Gravitation, and Cosmology 86 (11), 113011, 2012 | 148 | 2012 |
| The Gaussian CL s method for searches of new physics X Qian, A Tan, JJ Ling, Y Nakajima, C Zhang Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2016 | 81 | 2016 |
| Block Gibbs sampling for Bayesian random effects models with improper priors: Convergence and regeneration A Tan, JP Hobert Journal of Computational and Graphical Statistics 18 (4), 861-878, 2009 | 52 | 2009 |
| Estimating standard errors for importance sampling estimators with multiple Markov chains V Roy, A Tan, JM Flegal Statistica Sinica, 1079-1101, 2018 | 17 | 2018 |
| On the geometric ergodicity of two-variable Gibbs samplers A Tan, GL Jones, JP Hobert Advances in Modern Statistical Theory and Applications: A Festschrift in …, 2013 | 17 | 2013 |
| Towards interpretable automated machine learning for STEM career prediction R Liu, A Tan Journal of Educational Data Mining 12 (2), 19-32, 2020 | 16 | 2020 |
| A statistical model for testing the pleiotropic control of phenotypic plasticity for a count trait CX Ma, Q Yu, A Berg, D Drost, E Novaes, G Fu, JS Yap, A Tan, M Kirst, ... Genetics 179 (1), 627-636, 2008 | 16 | 2008 |
| Honest importance sampling with multiple Markov chains A Tan, H Doss, JP Hobert Journal of Computational and Graphical Statistics 24 (3), 792-826, 2015 | 15 | 2015 |
| Estimates and standard errors for ratios of normalizing constants from multiple Markov chains via regeneration H Doss, A Tan Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2014 | 13 | 2014 |
| Bayesian finite mixture of regression analysis for cancer based on histopathological imaging–environment interactions Y Im, Y Huang, A Tan, S Ma Biostatistics 24 (2), 425-442, 2023 | 9 | 2023 |
| Bayesian inference for high‐dimensional linear regression under mnet priors A Tan, J Huang Canadian Journal of Statistics 44 (2), 180-197, 2016 | 9 | 2016 |
| Fast Markov chain Monte Carlo for high-dimensional Bayesian regression models with shrinkage priors R Jin, A Tan Journal of Computational and Graphical Statistics 30 (3), 632-646, 2021 | 7 | 2021 |
| Sandwich algorithms for Bayesian variable selection J Ghosh, A Tan Computational Statistics & Data Analysis 81, 76-88, 2015 | 6 | 2015 |
| When is Eaton’s Markov chain irreducible? JP Hobert, A Tan, R Liu | 6 | 2007 |
| Central limit theorems for Markov chains based on their convergence rates in Wasserstein distance R Jin, A Tan arXiv preprint arXiv:2002.09427, 2020 | 5 | 2020 |
| Bayesian subgroup analysis in regression using mixture models Y Im, A Tan Computational Statistics & Data Analysis 162, 107252, 2021 | 4 | 2021 |
| Convergence rates and regeneration of the block Gibbs sampler for Bayesian random effects models A Tan University of Florida, 2009 | 4 | 2009 |
| Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data J Ghosh, A Tan, L Luo Stat 14 (1), e70044, 2025 | 1 | 2025 |
| S1 Proof of Theorem V Roy, A Tan, JM Flegal | | |
Xin QianPhysicist of Physics Department, Brookhaven National LabVerified email at bnl.gov
