35 citations · 205 across the 22 of their papers we have counts for
3 papers · 1 filter
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization
Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben +1
Probabilistic forecasting relies on past observations to provide a probability distribution for a future outcome, which is often evaluated against the realization using a scoring r…
Bayesian inference of polymerase dynamics over the exclusion process
Massimo Cavallaro, Yuexuan Wang, Daniel Hebenstreit +1
Transcription is a complex phenomenon that permits the conversion of genetic information into phenotype by means of an enzyme called RNA polymerase, which erratically moves along a…
Generalized Bayesian Likelihood-Free Inference
Lorenzo Pacchiardi, Sherman Khoo, Ritabrata Dutta
We propose a posterior for Bayesian Likelihood-Free Inference (LFI) based on generalized Bayesian inference. To define the posterior, we use Scoring Rules (SRs), which evaluate pro…