Binary data

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Related lectures (31)

Goodness-of-Fit Test: Variables and Distributions

Covers the revision of variables, categorical data analysis, and goodness-of-fit tests.

Modern Regression: Spring Barley Data

Covers inference, weighted least squares, spring barley data analysis, and smoothing techniques.

Binary Responses: Link Functions and GLMs

Explores link functions for binary responses and the impact of sparseness on model interpretability.

Model Specification: The Error Term

Delves into the binary choice model, error term specification, and Extreme Value distribution properties.

Data Preparation for Machine Learning: Categorical and Numerical Data

Explores data preparation for machine learning, emphasizing categorical to numerical conversion and effective data visualization techniques.

Thematic Attributes and Classification

Covers thematic attributes, classification, data representation, and discretization methods in geographic information systems.

Learning Latent Models in Graphical Structures

Explores learning latent models in graphical structures, focusing on scenarios with incomplete samples and introducing the notion of distance among variables.

Instrumental Inequality: Binary Variables

Explores instrumental inequality with binary variables and their generation process through arbitrary functions and observed variables.

Modern Regression: Overdispersion and Model Assessment

Explores overdispersion, model assessment, and regression techniques for count data.

Optimal Decision Making: Applications of Discrete Optimization

Explores optimal decision making through discrete optimization, emphasizing binary variables and practical applications.

Binary Covariate Impact: 2x2 Contingency Tables

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

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