Supplementary Material: Efficient Transition Probability Computation for Continuous-Time Branching Processes via Compressed Sensing
نویسندگان
چکیده
منابع مشابه
Efficient Transition Probability Computation for Continuous-Time Branching Processes via Compressed Sensing
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, an...
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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, an...
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