Statistical model specification

Related lectures (32)

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Explores model selection criteria like AIC, BIC, and Cp in statistics for data science.

Explores extremal index, clustering in extreme events, return levels, and statistical models for analyzing extremes in time series.

Explores the impact of a binary covariate on binary responses using 2x2 tables.

Introduces a course on Machine Learning for Behavioral Data at EPFL, covering ML algorithms, data handling, and model evaluation.

Explores logistic regression model interpretation, parameter estimation, and model comparison using likelihood ratio tests.

Covers the essentials of Two-way ANOVA, focusing on calculating decision variables and checking assumptions.

Explores confidence intervals, hypothesis testing, and ROC curves in statistical analysis.

Covers the properties of the exponential family and the estimation of parameters.

Explores parametric models in data analysis, covering regression estimators, optimization problems, and statistical models.

Covers the probabilistic model for linear regression and the importance of regularization techniques.