Global Certificate in Bayesian Inference Concepts: Advanced Analytics
-- ViewingNowThe Global Certificate in Bayesian Inference Concepts: Advanced Analytics is a comprehensive course designed to equip learners with the essential skills required in today's data-driven world. This course focuses on the importance of Bayesian inference, a fundamental concept in statistical analysis and decision-making.
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โข Fundamentals of Bayesian Inference: Probability Theory, Bayes' Theorem, Prior and Posterior Distributions
โข Bayesian Hierarchical Modeling: Introduction to Hierarchical Structures, Modeling Dependencies, Advanced Hierarchical Modeling Techniques
โข MCMC (Markov Chain Monte Carlo) Methods: Metropolis-Hasting Algorithm, Gibbs Sampling, Hamiltonian Monte Carlo
โข Graphical Models and Causal Inference: Directed Acyclic Graphs, Bayesian Networks, Propagating Uncertainty, Causal Inference in Bayesian Analysis
โข Bayesian Model Selection and Evaluation: Model Comparison, Bayes Factors, Deviance Information Criteria, Leave-One-Out Cross-Validation
โข Big Data Analytics and Bayesian Inference: Scalable MCMC Methods, Approximate Bayesian Computation, Map-Reduce Algorithms
โข Bayesian Decision Theory: Decision Making Under Uncertainty, Utility Functions, Bayesian Decision Rules
โข Case Studies in Bayesian Inference: Real-World Applications and Implementations, Model Validation, Best Practices
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