Entropy and Sampling Theory

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Covers fundamental statistics concepts, including estimation theory, distributions, and the law of large numbers, with practical examples.

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Probability Distributions: Basics and Properties

Covers the basics of probability distributions, including mean, variance, and properties of random variables.

Probability and Statistics

Explores joint random variables, conditional density, and independence in probability and statistics.

Sampling Distributions: Understanding Ancillary Statistics

Explores ancillary statistics, sufficiency, and minimally sufficient statistics in sampling distributions.

Exponential Family: Maximum Entropy Distributions

Covers exponential families and maximum entropy distributions under moment constraints.

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