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://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://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