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A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equations
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A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equations

Libo Sun
Chihoon Lee
J. Hoeting
ArXiv (abs)PDFHTML

Papers citing "A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equations"

2 / 2 papers shown
Title
Parameter inference and model selection in deterministic and stochastic dynamical models via approximate Bayesian computation: modeling a wildlife epidemic
Parameter inference and model selection in deterministic and stochastic dynamical models via approximate Bayesian computation: modeling a wildlife epidemic
Libo Sun
Chihoon Lee
J. Hoeting
86
28
0
26 Sep 2014
Sequential Monte Carlo with Highly Informative Observations
Sequential Monte Carlo with Highly Informative Observations
P. Del Moral
Lawrence M. Murray
109
53
0
16 May 2014

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