Robuta

https://www.waikato.ac.nz/study/papers/stats536/2026/
Paper details for Bayesian Inference (STATS536) in 2026
university of waikatobayesian inference
https://www.arxiv.org/abs/1911.00702
Abstract page for arXiv paper 1911.00702: Bayesian inference for dynamic vine copulas in higher dimensions
bayesian inferencevine copulasdynamichigher
https://www.springerprofessional.de/en/causal-inference-using-bayesian-networks/12124658
The availability of new computational technologies, data collection opportunities, and data size has significantly influenced the development of a
causal inferencebayesian networksusingde
https://www.cambridge.org/core/books/fundamentals-of-nonparametric-bayesian-inference/C96325101025D308C9F31F4470DEA2E8
Cambridge Core - Statistical Theory and Methods - Fundamentals of Nonparametric Bayesian Inference
bayesian inferencefundamentalsnonparametric
https://cosminsafta.net/publication/blonigan-2021/
We present a simple, near-real-time Bayesian method to infer and forecast a multiwave outbreak, and demonstrate it on the COVID-19 pandemic. The approach uses...
bayesian inferenceforecastingmultiwaveepidemics
https://www.arxiv.org/abs/2601.05355
Abstract page for arXiv paper 2601.05355: A Bayesian Generative Modeling Approach for Arbitrary Conditional Inference
generative modelingbayesianapproacharbitraryconditional
https://deepai.org/publication/logarithmic-time-parallel-bayesian-inference
01/30/13 - I present a parallel algorithm for exact probabilistic inference in Bayesian networks. For polytree networks with n variables, the...
logarithmic timebayesian inferenceparallel
https://arxiv.org/abs/2307.03748
Abstract page for arXiv paper 2307.03748: Incentive-Theoretic Bayesian Inference for Collaborative Science
bayesian inferenceincentivetheoreticcollaborativescience
https://rxinfer.com/
RxInfer.jl is a Julia package for fast and flexible Bayesian inference, combining message passing and automatic differentiation for efficient probabilistic...
bayesian inferencejlfastflexible
https://openreview.net/forum?id=FCczPIFPD6&referrer=%5Bthe%20profile%20of%20Manan%20Saxena%5D(%2Fprofile%3Fid%3D~Manan_Saxena1)
Many scientific fields collect longitudinal count compositional data. Each observation is a multivariate count vector, where the total counts are arbitrary,...
linear modelsscalableinferencebayesianmultinomial
https://timeincosmology.com/6444.html
New Insights into Bayesian Inference. Edited by: Mohammad Saber Fallah Nezhad. ISBN 978-1-78923-092-5, eISBN 978-1-78923-093-2, PDF ISBN 978-1-83881-474-8,...
bayesian inferencenewinsights
https://sportlab.usc.edu/archives/434
Sponsor: Defense Advanced Research Projects Agency. The primary goal is to develop a Bayesian Neural Network (BNN) with an integrated Variational Inference...
bayesian neural networkvariational inferencevinebasedengine