Bayesian Inference of State Space Models
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Updated
Oct 27, 2023 - HTML
Bayesian Inference of State Space Models
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
IRT models using various Bayesian methods
Constrained optimization problems, including linear,network, dynamic,integer, and nonlinear programming, decision trees, queueing theory and Markov decision processes.
Bayesian Generalized Linear Models with Time-Varying Coefficients. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S235271102200022X
The programming part for the second assignment of the course DSC 531 - Statistical Simulations and Data Analysis of the University of Cyprus MSc in Data Science programme
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