RPEM: Randomized Monte Carlo parametric expectation maximization algorithm

RPEM: Randomized Monte Carlo parametric expectation maximization algorithm

Abstract Inspired from quantum Monte Carlo, by sampling discrete and continuous variables at the same time using the Metropolis–Hastings algorithm, we present a novel, fast, and accurate high performance Monte Carlo Parametric Expectation Maximization (MCPEM) algorithm. We named it Randomized Parame...

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Bibliographic Details
Main Authors: Rong Chen, Alan Schumitzky, Alona Kryshchenko, Keith Nieforth, Michael Tomashevskiy, Shuhua Hu, Romain Garreau, Julian Otalvaro, Walter Yamada, Michael N. Neely
Format: Article
Language:English
Published: Wiley 2024-05-01
Series:CPT: Pharmacometrics & Systems Pharmacology
Online Access:https://doi.org/10.1002/psp4.13113
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https://doi.org/10.1002/psp4.13113

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