STATISTICAL INFERENCE FOR DATA ANALYTICS

Catalog description

An exploration of statistical inference focusing on classical and modern methods. Topics encompass estimation techniques, hypothesis testing, confidence intervals, parametric and nonparametric inference, as well as Bayesian methods. The course delves into advanced topics such as robust inference, multivariate analysis, and model selection criteria. Practical applications and theoretical foundations are intertwined for a comprehensive understanding of statistical inference.