Develops compositional incrementalization of density functions for probabilistic programs to accelerate Monte Carlo inference algorithms.
, author Roberts, G.O
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Bayesian state-space modeling reveals that local spread and within-herd transmission each account for about half of S. Dublin force of infection on Öland, with average Rt near 1.
citing papers explorer
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Incremental Computation for Efficient Programmable Inference in Probabilistic Programs
Develops compositional incrementalization of density functions for probabilistic programs to accelerate Monte Carlo inference algorithms.
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Bayesian modelling of herd-level infection dynamics in cattle: Local spread as the primary driver of Salmonella Dublin persistence on \"Oland
Bayesian state-space modeling reveals that local spread and within-herd transmission each account for about half of S. Dublin force of infection on Öland, with average Rt near 1.