search for: breto

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2007 Jul 24
0
New package: pomp, inference for partially-observed Markov processes
...measurement components. The package's algorithms are built on top of these functions. At the moment, algorithms are provided for particle filtering (AKA sequential importance sampling or sequential Monte Carlo) and the likelihood maximization by iterated filtering (MIF) method of Ionides, Breto, and King (PNAS, 103:18438-18443, 2006). Future support for a variety of other algorithms is envisioned. A working group of the National Center for Ecological Analysis and Synthesis (NCEAS), "Inference for Mechanistic Models", is currently implementing additional methods for this pack...
2007 Jul 24
0
New package: pomp, inference for partially-observed Markov processes
...measurement components. The package's algorithms are built on top of these functions. At the moment, algorithms are provided for particle filtering (AKA sequential importance sampling or sequential Monte Carlo) and the likelihood maximization by iterated filtering (MIF) method of Ionides, Breto, and King (PNAS, 103:18438-18443, 2006). Future support for a variety of other algorithms is envisioned. A working group of the National Center for Ecological Analysis and Synthesis (NCEAS), "Inference for Mechanistic Models", is currently implementing additional methods for this pack...