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This paper concerns the use of sequential Monte Carlo methods (SMC) for smoothing in general state space models. A well-known problem when applying the standard SMC technique in the smoothing mode is ...
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Monte Carlo methods have become indispensable in simulating light transport due to their flexibility in handling complex phenomena such as scattering, absorption, and emission in heterogeneous media.
This paper reports Monte Carlo evidence on the fixed sample size properties of adaptive maximum likelihood estimates of a linear regression. The focus is on the problem of selecting the smoothing and ...
Citations: Andersen, Torben Gustav, Tim Bollerslev. 1996. GMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study. Journal of Business & Economic Statistics. (3)328-352.