مقاله‌های دارای تعهدات انتشار عمومی - Abel Rodriguezبیشتر بدانید
جای دیگری دردسترس نیست: یک
Bayesian modeling for decentralized uav control and task allocation
S Hening, P Regueiro, A Rodriguez, M Teodorescu, NT Nguyen, ...
AIAA Infotech@ Aerospace, 0122, 2015
تعهدات: US National Aeronautics and Space Administration
جای دیگری دردسترس است: ۳۴
The nested Dirichlet process
A Rodriguez, DB Dunson, AE Gelfand
Journal of the American statistical Association 103 (483), 1131-1154, 2008
تعهدات: US National Institutes of Health
Nonparametric Bayesian models through probit stick-breaking processes
A Rodriguez, DB Dunson
Bayesian Analysis (Online) 6 (1), 10.1214/11-BA605, 2011
تعهدات: US National Institutes of Health
Bayesian inference for general Gaussian graphical models with application to multivariate lattice data
A Dobra, A Lenkoski, A Rodriguez
Journal of the American Statistical Association 106 (496), 1418-1433, 2011
تعهدات: US National Institutes of Health, German Research Foundation
Bayesian dynamic density estimation
A Rodriguez, E Ter Horst
تعهدات: US National Institutes of Health
Bayesian nonparametric functional data analysis through density estimation
A Rodríguez, DB Dunson, AE Gelfand
Biometrika 96 (1), 149-162, 2009
تعهدات: US National Institutes of Health
Early onset prion disease from octarepeat expansion correlates with copper binding properties
DJ Stevens, ED Walter, A Rodríguez, D Draper, P Davies, DR Brown, ...
PLoS pathogens 5 (4), e1000390, 2009
تعهدات: US National Institutes of Health
Latent nested nonparametric priors (with discussion)
F Camerlenghi, DB Dunson, A Lijoi, I Prünster, A Rodríguez
Bayesian Analysis 14 (4), 1303, 2019
تعهدات: US National Institutes of Health, European Commission
Latent stick-breaking processes
A Rodríguez, DB Dunson, AE Gelfand
Journal of the American Statistical Association 105 (490), 647-659, 2010
تعهدات: US National Institutes of Health
Bayesian regression with undirected network predictors with an application to brain connectome data
S Guha, A Rodriguez
Journal of the American Statistical Association 116 (534), 581-593, 2021
تعهدات: US National Science Foundation
Sparse covariance estimation in heterogeneous samples
A Rodriguez, A Lenkoski, A Dobra
Electronic journal of statistics 5, 981, 2011
تعهدات: US National Institutes of Health, German Research Foundation
Bayesian semiparametric estimation of covariate-dependent ROC curves
A Rodríguez, JC Martínez
Biostatistics 15 (2), 353-369, 2014
تعهدات: US National Institutes of Health
Functional clustering in nested designs: modeling variability in reproductive epidemiology studies
A Rodriguez, DB Dunson
تعهدات: US National Institutes of Health
Identifying pediatric cancer clusters in Florida using log-linear models and generalized lasso penalties
H Wang, A Rodríguez
Statistics and Public Policy 1 (1), 86-96, 2014
تعهدات: US National Institutes of Health
Bayesian hierarchically weighted finite mixture models for samples of distributions
A Rodriguez, DB Dunson, J Taylor
Biostatistics 10 (1), 155-171, 2009
تعهدات: US National Institutes of Health
Bayesian fused lasso regression for dynamic binary networks
B Betancourt, A Rodríguez, N Boyd
Journal of Computational and Graphical Statistics 26 (4), 840-850, 2017
تعهدات: US National Science Foundation
Bayesian protein structure alignment
A Rodriguez, SC Schmidler
The annals of applied statistics 8 (4), 2068, 2014
تعهدات: US National Institutes of Health
Characterizing user activity in WiFi networks: University campus and urban area case studies
L Oliveira, K Obraczka, A Rodríguez
Proceedings of the 19th ACM International Conference on Modeling, Analysis …, 2016
تعهدات: US National Science Foundation
Multiple ideal points: Revealed preferences in different domains
S Moser, A Rodríguez, CL Lofland
Political Analysis 29 (2), 139-166, 2021
تعهدات: US National Science Foundation
Joint modeling of longitudinal relational data and exogenous variables
R Guhaniyogi, A Rodriguez
تعهدات: US National Science Foundation, US Department of Defense
اطلاعات انتشارات و تأمین بودجه به‌طورخودکار توسط برنامه رایانه‌ای تعیین می‌شود.