1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.CO2019
Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed sampling
Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist +1
We consider probabilistic programming for birth-death models of evolution and introduce a new widely-applicable inference method that combines an extension of the alive particle fi…
cs.PL2018★ 1 cited
Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs
Daniel Lundén, David Broman, Fredrik Ronquist +1
Probabilistic programming is a programming paradigm for expressing flexible probabilistic models. Implementations of probabilistic programming languages employ a variety of inferen…