69 citations · 261 across the 20 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
stat.ME2021★ 4 cited
Approximate Bayesian Computation via Classification
Yuexi Wang, Tetsuya Kaji, Veronika Ročková
Approximate Bayesian Computation (ABC) enables statistical inference in simulator-based models whose likelihoods are difficult to calculate but easy to simulate from. ABC construct…
math.ST2021★ 1 cited
Ideal Bayesian Spatial Adaptation
Veronika Rockova, Judith Rousseau
Many real-life applications involve estimation of curves that exhibit complicated shapes including jumps or varying-frequency oscillations. Practical methods have been devised that…
math.ST2021
Metropolis-Hastings via Classification
Tetsuya Kaji, Veronika Rockova
This paper develops a Bayesian computational platform at the interface between posterior sampling and optimization in models whose marginal likelihoods are difficult to evaluate. I…