2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ML2016
Testing for Causality in Continuous Time Bayesian Network Models of High-Frequency Data
Jonas Hallgren, Timo Koski
Continuous time Bayesian networks are investigated with a special focus on their ability to express causality. A framework is presented for doing inference in these networks. The c…
stat.CO2014★ 2 cited
Decomposition Sampling applied to Parallelization of Metropolis-Hastings
Jonas Hallgren, Timo Koski
This paper presents an algorithm for sampling random variables that allows to separation of the sampling process into subproblems by dividing the sample space into overlapping part…