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Entropy in Neuroscience and Ecology

Delves into entropy in neuroscience data and ecology, exploring the representation of sensory information and the diversity of biological populations.

Linear Regression: Theory and Applications

Covers the theory and practical applications of linear regression.

Probability Distributions: Discrete and Continuous

Covers discrete and continuous probability distributions, including joint and conditional probabilities.

Conditional Density and Expectation

Explores conditional density, expectations, and independence of random variables with practical examples.

Elements of Statistics: Probability and Random Variables

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.