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Showing 1 to 2 of 2 for “"Monte Carlo expectation maximization"”.
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Dynamic factor analysis with dependent Gaussian processes for high-dimensional biomarker trajectories
… H3N2 dataset. To fit the model, we propose a Monte Carlo expectation maximization (MCEM) scheme that can be implemented conveniently by combining a standard Markov Chain Monte Carlo sampler and an R package GPFDA, which returns the maximum likelihood estimates of DGP hyperparameters. The …
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Statistical Methods for Multi-type Recurrent Event Data Based on Monte Carlo EM Algorithms and Copula Frailties
… short introduction to frailty distributions. The Monte Carlo expectation maximization (MCEM) algorithm and copula functions for the multivariate variables are also presented in this chapter. Chapter 2 develops a multi-type recurrent events model with multivariate Gaussian random effects …