Real-time Bayesian Inference
Real-Time Bayesian Inference is a Bayesian inference framework that enables continuous updating of posterior beliefs from sequential data streams with minimal latency, distinguishing itself by its emphasis on computational efficiency and immediate responsiveness to incoming observations.
56
Publications
3K
Citations
173
Authors
106
Institutions
Publications per year
2017–2026
15
Parents
56
1–5 of 56
173
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 173
106
Université Paris-Saclay
Gif-sur-Yvette, France
4 h-index
8 publications
133 citations
MRC Biostatistics Unit
Cambridge, United Kingdom
2 h-index
2 publications
343 citations
University of Guelph
Guelph, Canada
2 h-index
4 publications
118 citations
University of California, Berkeley
Berkeley, United States
2 h-index
7 publications
144 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
6 publications
492 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
79 citations
University of Washington
Seattle, United States
2 h-index
4 publications
142 citations
University of Pavia
Pavia, Italy
2 h-index
4 publications
686 citations
1–8 of 106
2 publications · 343 citations
2
h-index
1 publications · 17 citations
1
h-index
1 publications · 153 citations
1
h-index
1 publications · 21 citations
1
h-index
1 publications · 16 citations
1
h-index
1–5