| Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems C Buss, EP Davis, B Shahbaba, JC Pruessner, K Head, CA Sandman Proceedings of the National Academy of Sciences 109 (20), E1312-E1319, 2012 | 368 | 2012 |
| Nonlinear models using Dirichlet process mixtures B Shahbaba, R Neal Journal of Machine Learning Research 10 (Aug), 1829-1850, 2009 | 176 | 2009 |
| Maternal psychosocial stress during pregnancy is associated with newborn leukocyte telomere length S Entringer, ES Epel, J Lin, C Buss, B Shahbaba, EH Blackburn, ... American journal of obstetrics and gynecology 208 (2), 134. e1-134. e7, 2013 | 169 | 2013 |
| Neural function, injury, and stroke subtype predict treatment gains after stroke E Burke Quinlan, L Dodakian, J See, A McKenzie, V Le, M Wojnowicz, ... Annals of neurology 77 (1), 132-145, 2015 | 118 | 2015 |
| Analysis of neural data RE Kass, UT Eden, EN Brown Springer, 2014 | 118 | 2014 |
| Genetic variation in the human brain dopamine system influences motor learning and its modulation by L-Dopa KM Pearson-Fuhrhop, B Minton, D Acevedo, B Shahbaba, SC Cramer PloS one 8 (4), e61197, 2013 | 78 | 2013 |
| Distributed stochastic gradient MCMC S Ahn, B Shahbaba, M Welling International conference on machine learning, 1044-1052, 2014 | 67 | 2014 |
| A pluripotency signature predicts histologic transformation and influences survival in follicular lymphoma patients AJ Gentles, AA Alizadeh, SI Lee, JH Myklebust, CM Shachaf, B Shahbaba, ... Blood 114 (15), 3158-3166, 2009 | 57 | 2009 |
| Split hamiltonian monte carlo B Shahbaba, S Lan, WO Johnson, RM Neal Statistics and Computing 24 (3), 339-349, 2014 | 55 | 2014 |
| Maternal exposure to childhood trauma is associated during pregnancy with placental-fetal stress physiology NK Moog, C Buss, S Entringer, B Shahbaba, DL Gillen, CJ Hobel, ... Biological psychiatry 79 (10), 831-839, 2016 | 44 | 2016 |
| Evaluating the effect of motion and body shape on the perceived sex of virtual characters R McDonnell, S Jörg, JK Hodgins, F Newell, C O'sullivan ACM Transactions on Applied Perception (TAP) 5 (4), 20, 2009 | 42* | 2009 |
| Use R! RGKHG Parmigiani | 41 | 2012 |
| Wormhole hamiltonian monte carlo S Lan, J Streets, B Shahbaba Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 | 40 | 2014 |
| Improving classification when a class hierarchy is available using a hierarchy-based prior B Shahbaba, RM Neal Bayesian Analysis 2 (1), 221-237, 2007 | 38 | 2007 |
| Gene function classification using Bayesian models with hierarchy-based priors B Shahbaba, RM Neal BMC bioinformatics 7 (1), 448, 2006 | 35 | 2006 |
| Spherical Hamiltonian Monte Carlo for constrained target distributions S Lan, B Zhou, B Shahbaba JMLR workshop and conference proceedings 32, 629, 2014 | 34 | 2014 |
| Maternal folate concentration in early pregnancy and newborn telomere length S Entringer, ES Epel, J Lin, EH Blackburn, C Buss, B Shahbaba, DL Gillen, ... Annals of Nutrition and Metabolism 66 (4), 202-208, 2015 | 32 | 2015 |
| What time is it? Deep learning approaches for circadian rhythms F Agostinelli, N Ceglia, B Shahbaba, P Sassone-Corsi, P Baldi Bioinformatics 32 (12), i8-i17, 2016 | 29 | 2016 |
| Markov chain monte carlo from lagrangian dynamics S Lan, V Stathopoulos, B Shahbaba, M Girolami Journal of Computational and Graphical Statistics 24 (2), 357-378, 2015 | 24 | 2015 |
| Sparse regression incorporating graphical structure among predictors G Yu, Y Liu Journal of the American Statistical Association 111 (514), 707-720, 2016 | 21 | 2016 |
