Vivekananda Roy, Ph.D. - Publications

Affiliations: 
2008 University of Florida, Gainesville, Gainesville, FL, United States 
Area:
Statistics

23 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Evangelou E, Roy V. Estimation and prediction for spatial generalized linear mixed models with parametric links via reparameterized importance sampling Spatial Statistics. 29: 289-315. DOI: 10.1016/J.Spasta.2019.01.005  0.495
2018 Roy V, Tan A, Flegal JM. Estimating standard errors for importance sampling estimators with multiple Markov chains Statistica Sinica. DOI: 10.5705/Ss.202016.0378  0.61
2018 Wang X, Roy V. Convergence analysis of the block Gibbs sampler for Bayesian probit linear mixed models with improper priors Electronic Journal of Statistics. 12: 4412-4439. DOI: 10.1214/18-Ejs1506  0.382
2018 Wang X, Roy V. Geometric ergodicity of Pólya-Gamma Gibbs sampler for Bayesian logistic regression with a flat prior Electronic Journal of Statistics. 12: 3295-3311. DOI: 10.1214/18-Ejs1481  0.352
2018 Wang X, Roy V. Analysis of the Pólya-Gamma block Gibbs sampler for Bayesian logistic linear mixed models Statistics & Probability Letters. 137: 251-256. DOI: 10.1016/J.Spl.2018.02.003  0.327
2018 Wang X, Roy V, Zhu Z. A new algorithm to estimate monotone nonparametric link functions and a comparison with parametric approach Statistics and Computing. 28: 1083-1094. DOI: 10.1007/S11222-017-9781-3  0.502
2017 Laha AK, Dutta S, Roy V. A novel sandwich algorithm for empirical Bayes analysis of rank data Statistics and Its Interface. 10: 543-556. DOI: 10.4310/Sii.2017.V10.N4.A2  0.56
2017 Simpson M, Niemi J, Roy V. Interweaving Markov Chain Monte Carlo Strategies for Efficient Estimation of Dynamic Linear Models Journal of Computational and Graphical Statistics. 26: 152-159. DOI: 10.1080/10618600.2015.1105748  0.481
2017 Dixit A, Roy V. MCMC diagnostics for higher dimensions using Kullback Leibler divergence Journal of Statistical Computation and Simulation. 87: 2622-2638. DOI: 10.1080/00949655.2017.1335313  0.359
2016 Roy V. Improving efficiency of data augmentation algorithms using Peskun's theorem Computational Statistics. 31: 709-728. DOI: 10.1007/S00180-015-0632-4  0.548
2015 Roy V, Evangelou E, Zhu Z. Efficient estimation and prediction for the Bayesian binary spatial model with flexible link functions. Biometrics. PMID 26331903 DOI: 10.1111/Biom.12371  0.442
2015 Athreya KB, Roy V. Estimation of integrals with respect to infinite measures using regenerative sequences Journal of Applied Probability. 52: 1133-1145. DOI: 10.1239/Jap/1450802757  0.395
2015 Athreya KB, Roy V. Monte carlo methods for improper target distributions Electronic Journal of Statistics. 8: 2664-2692. DOI: 10.1214/14-Ejs969  0.555
2015 Athreya KB, Normand R, Roy V, Wu SJ. Limit theorems for the estimation of L1 integrals using the Brownian motion Statistics and Probability Letters. 100: 42-47. DOI: 10.1016/J.Spl.2015.01.034  0.36
2014 Roy V, Dey DK. Propriety of posterior distributions arising in categorical and survival models under generalized extreme value distribution Statistica Sinica. 24: 699-722. DOI: 10.5705/Ss.2011.011  0.396
2014 Athreya KB, Roy V. When is a markov chain regenerative? Statistics and Probability Letters. 84: 22-26. DOI: 10.1016/J.Spl.2013.09.021  0.344
2014 Roy V. Efficient estimation of the link function parameter in a robust Bayesian binary regression model Computational Statistics & Data Analysis. 73: 87-102. DOI: 10.1016/J.Csda.2013.11.013  0.542
2013 Roy V, Kaiser MS. Posterior propriety for Bayesian binomial regression models with a parametric family of link functions Statistical Methodology. 13: 25-41. DOI: 10.1016/J.Stamet.2012.12.003  0.394
2012 Roy V. Convergence rates for MCMC algorithms for a robust Bayesian binary regression model Electronic Journal of Statistics. 6: 2463-2485. DOI: 10.1214/12-Ejs756  0.605
2012 Roy V. Spectral analytic comparisons for data augmentation Statistics & Probability Letters. 82: 103-108. DOI: 10.1016/J.Spl.2011.09.009  0.48
2011 Hobert JP, Roy V, Robert CP. Improving the convergence properties of the data augmentation algorithm with an application to Bayesian mixture modeling Statistical Science. 26: 332-351. DOI: 10.1214/11-Sts365  0.649
2010 Roy V, Hobert JP. On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors Journal of Multivariate Analysis. 101: 1190-1202. DOI: 10.1016/J.Jmva.2009.12.015  0.67
2007 Roy V, Hobert JP. Convergence rates and asymptotic standard errors for Markov chain Monte Carlo algorithms for Bayesian probit regression Journal of the Royal Statistical Society. Series B: Statistical Methodology. 69: 607-623. DOI: 10.1111/J.1467-9868.2007.00602.X  0.681
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