Simulated Maximum Likelihood Estimation for Latent Diffusion Models

In this paper a method is developed and implemented to provide the simulated maximum likelihood estimation of latent diffusions based on discrete data. The method is applicable to diffusions that either have latent elements in the state vector or are only observed at discrete time with a noise. Late...

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Bibliographic Details
Main Authors: KLEPPE, Tore Selland, YU, Jun, SKAUG, Hans J.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
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Online Access:https://ink.library.smu.edu.sg/soe_research/1310
https://ink.library.smu.edu.sg/context/soe_research/article/2309/viewcontent/sml_garchdiffusion01_10_2011.pdf
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Institution: Singapore Management University
Language: English

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