| Bayesian variable selection with shrinking and diffusing priors NN Narisetty, X He | 293 | 2014 |
| Extremal Depth for Functional Data and Applications NN Narisetty, VN Nair Journal of the American Statistical Association, Theory and Methods, 2016 | 104 | 2016 |
| Bayesian regularization for graphical models with unequal shrinkage L Gan, NN Narisetty, F Liang Journal of the American Statistical Association 114 (527), 1218-1231, 2019 | 75 | 2019 |
| A randomized trial of an avatar-hosted multiple behavior change intervention for young adult smokers LC An, MRS Demers, MA Kirch, S Considine-Dunn, V Nair, K Dasgupta, ... Journal of the National Cancer Institute Monographs 2013 (47), 209-215, 2013 | 73 | 2013 |
| Skinny Gibbs: A consistent and scalable Gibbs sampler for model selection NN Narisetty, J Shen, X He Journal of the American Statistical Association, 2018 | 65 | 2018 |
| Bayesian model selection for high-dimensional data NN Narisetty Handbook of Statistics, 2020 | 50 | 2020 |
| Informing the uninformed: optimizing the consent message using a fractional factorial design AR Tait, T Voepel-Lewis, VN Nair, NN Narisetty, A Fagerlin JAMA pediatrics 167 (7), 640-646, 2013 | 35 | 2013 |
| Consistent group selection with Bayesian high dimensional modeling X Yang, NN Narisetty Bayesian Analysis, 2019 | 29 | 2019 |
| Bayesian joint estimation of multiple graphical models L Gan, X Yang, N Narisetty, F Liang Advances in Neural Information Processing Systems 32, 2019 | 28 | 2019 |
| A new approach to censored quantile regression estimation X Yang, NN Narisetty, X He Journal of Computational and Graphical Statistics 27 (2), 417-425, 2018 | 28 | 2018 |
| Investigating a novel measure of brain networking following sports concussion SP Broglio, A Rettmann, J Greer, S Brimacombe, B Moore, N Narisetty, ... International journal of sports medicine 37 (09), 714-722, 2016 | 18 | 2016 |
| Stability of an ERP-based measure of brain network activation (BNA) in athletes: A new electrophysiological assessment tool for concussion JT Eckner, A Rettmann, N Narisetty, J Greer, B Moore, S Brimacombe, ... Brain injury 30 (9), 1075-1081, 2016 | 15 | 2016 |
| New methods for multiple testing in permutation inference for the general linear model T Mrkvička, M Myllymäki, M Kuronen, NN Narisetty Statistics in Medicine 41 (2), 276-297, 2022 | 14 | 2022 |
| GemBag: Group estimation of multiple Bayesian graphical models X Yang, L Gan, NN Narisetty, F Liang Journal of machine learning research 22 (54), 1-48, 2021 | 11 | 2021 |
| Bayesian multiple quantile regression for linear models using a score likelihood T Wu, NN Narisetty Bayesian Analysis 16 (3), 875-903, 2021 | 9 | 2021 |
| Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes NN Narisetty, B Mukherjee, YH Chen, R Gonzalez, JD Meeker Statistics in medicine 38 (9), 1582-1600, 2019 | 8 | 2019 |
| Regret lower bound and optimal algorithm for high-dimensional contextual linear bandit K Li, Y Yang, NN Narisetty Electronic Journal of Statistics 15 (2), 5652-5695, 2021 | 7 | 2021 |
| Censored quantile regression survival models with a cure proportion N Narisetty, R Koenker Journal of Econometrics, 2022 | 6 | 2022 |
| Robust multivariate mixture regression models with incomplete data HK Lim, NN Narisetty, S Cheon Journal of Statistical Computation and Simulation 87 (2), 328-347, 2017 | 6 | 2017 |
| A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures J Boss, A Rix, YH Chen, NN Narisetty, Z Wu, KK Ferguson, TF McElrath, ... Environmetrics 32 (8), e2698, 2021 | 5 | 2021 |
Xuming HeWashington University in St. LouisVerified email at wustl.edu
