Professional Certificate in Applied Bayesian Methods and R
-- ViewingNowThe Professional Certificate in Applied Bayesian Methods and R is a comprehensive course that equips learners with essential skills in Bayesian inference and data analysis. This program is crucial for professionals working with data, as Bayesian methods are increasingly being used to make informed decisions in various industries.
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โข Introduction to Bayesian Methods: Basic principles, probability theory, Bayes' theorem, and the concept of prior and posterior distributions. โข Probability Distributions: Overview of common probability distributions, including normal, exponential, binomial, Poisson, and multinormal distributions. โข Bayesian Inference: Bayesian updating, conjugate priors, and Markov Chain Monte Carlo (MCMC) methods. โข R Programming for Bayesian Analysis: R packages for Bayesian analysis, data manipulation, and visualization. โข Model Selection and Comparison: Deviance Information Criteria (DIC), Bayes Factors, and model averaging. โข Generalized Linear Models: Bayesian GLMs, logistic regression, and Poisson regression. โข Hierarchical Models: Hierarchical Bayesian models, shrinkage, and empirical Bayes methods. โข Time Series Analysis: Bayesian time series models, state-space models, and hidden Markov models. โข Bayesian Networks: Directed acyclic graphs, conditional probability distributions, and learning Bayesian networks.
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