57 citations · 223 across the 23 of their papers we have counts for
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stat.CO2021
Applied Measure Theory for Probabilistic Modeling
Chad Scherrer, Moritz Schauer
Probabilistic programming and statistical computing are vibrant areas in the development of the Julia programming language, but the underlying infrastructure dramatically predates…
stat.CO2021★ 9 cited
Sticky PDMP samplers for sparse and local inference problems
Joris Bierkens, Sebastiano Grazzi, Frank van der Meulen +1
We construct a new class of efficient Monte Carlo methods based on continuous-time piecewise deterministic Markov processes (PDMPs) suitable for inference in high dimensional spars…