1 citations · 1 across the 2 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2021
Scalable Bayesian inference for time series via divide-and-conquer
Rihui Ou, Lachlan Astfalck, Deborshee Sen +1
Bayesian computational algorithms tend to scale poorly as data size increases. This has motivated divide-and-conquer-based approaches for scalable inference. These divide the data…
stat.ME2021
Bayesian inference on high-dimensional multivariate binary responses
Antik Chakraborty, Rihui Ou, David B. Dunson
It has become increasingly common to collect high-dimensional binary response data; for example, with the emergence of new sampling techniques in ecology. In smaller dimensions, mu…