受强制性开放获取政策约束的文章 - Daniele Durante了解详情
可在其他位置公开访问的文章：16 篇
Nonparametric Bayes modeling of populations of networks
D Durante, DB Dunson, JT Vogelstein
Journal of the American Statistical Association 112 (520), 1516-1530, 2017
强制性开放获取政策： US Department of Defense
Bayesian inference and testing of group differences in brain networks
D Durante, DB Dunson
Bayesian Analysis 13 (1), 29-58, 2018
强制性开放获取政策： US Department of Defense
Nonparametric Bayes dynamic modeling of relational data
D Durante, DB Dunson
Biometrika 101 (4), 883-898, 2014
强制性开放获取政策： US National Institutes of Health
Bayesian cumulative shrinkage for infinite factorizations
S Legramanti, D Durante, DB Dunson
Biometrika 107 (3), 745-752, 2020
强制性开放获取政策： US Department of Defense, US National Institutes of Health, Government of Italy
Conjugate Bayes for probit regression via unified skew-normal distributions
D Durante
Biometrika 106 (4), 765-779, 2019
强制性开放获取政策： European Commission
Tractable Bayesian density regression via logit stick-breaking priors
T Rigon, D Durante
Journal of Statistical Planning and Inference 211, 131-142, 2021
强制性开放获取政策： US National Institutes of Health, Government of Italy
Bayesian network–response regression
L Wang, D Durante, RE Jung, DB Dunson
Bioinformatics 33 (12), 1859-1866, 2017
强制性开放获取政策： US Department of Defense
Bayesian dynamic financial networks with time-varying predictors
D Durante, DB Dunson
Statistics & Probability Letters 93, 19-26, 2014
强制性开放获取政策： US National Institutes of Health
Scalable and accurate variational Bayes for high-dimensional binary regression models
A Fasano, D Durante, G Zanella
Biometrika 109 (4), 901-919, 2022
强制性开放获取政策： Government of Italy
Extended stochastic block models with application to criminal networks
S Legramanti, T Rigon, D Durante, DB Dunson
Annals of Applied Statistics 16 (4), 2369-2395, 2022
强制性开放获取政策： US National Institutes of Health
Locally adaptive factor processes for multivariate time series
D Durante, B Scarpa, DB Dunson
Journal of Machine Learning Research 15, 1493-1522, 2014
强制性开放获取政策： US National Institutes of Health
Bayesian conjugacy in probit, tobit, multinomial probit and extensions: a review and new results
N Anceschi, A Fasano, D Durante, G Zanella
Journal of the American Statistical Association 118 (542), 1451-1469, 2023
强制性开放获取政策： Government of Italy
Bayesian modelling of networks in complex business intelligence problems
D Durante, S Paganin, B Scarpa, DB Dunson
Journal of the Royal Statistical Society (Series C) 66 (3), 555-580, 2017
强制性开放获取政策： US Department of Defense
Skewed Bernstein-von Mises theorem and skew-modal approximations
D Durante, F Pozza, B Szabo
Annals of Statistics, In press, 2024
强制性开放获取政策： European Commission
Convex mixture regression for quantitative risk assessment
A Canale, D Durante, D Dunson
Biometrics 74 (4), 1331-1340, 2018
强制性开放获取政策： US National Institutes of Health
Bayesian testing for exogenous partition structures in stochastic block models
S Legramanti, T Rigon, D Durante
Sankhya A 84, 108-126, 2022
强制性开放获取政策： US National Institutes of Health, Government of Italy
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