Ontology highlight
ABSTRACT:
SUBMITTER: Xu J
PROVIDER: S-EPMC4775097 | biostudies-literature | 2015 Jul
REPOSITORIES: biostudies-literature
Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence 20150701
Branching processes are a class of continuous-time Markov chains (CTMCs) with ubiquitous applications. A general difficulty in statistical inference under partially observed CTMC models arises in computing transition probabilities when the discrete state space is large or uncountable. Classical methods such as matrix exponentiation are infeasible for large or countably infinite state spaces, and sampling-based alternatives are computationally intensive, requiring integration over all possible hi ...[more]