56 citations · 126 across the 19 of their papers we have counts for
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stat.CO2019
Adaptive Approximate Bayesian Computation Tolerance Selection
Umberto Simola, Jessica Cisewski-Kehe, Michael U. Gutmann +1
Approximate Bayesian Computation (ABC) methods are increasingly used for inference in situations in which the likelihood function is either computationally costly or intractable to…
stat.CO2019★ 9 cited
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
Johan Pensar, Yingying Xu, Santeri Puranen +3
Learning the undirected graph structure of a Markov network from data is a problem that has received a lot of attention during the last few decades. As a result of the general appl…