Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 1-5), covering foundational concepts in probability and distribution theory. Topics include random variables, probability distributions, expectation, and limit theorems, essential for applications in machine learning, AI, and robotics.
statistics probability mathematics law-of-large-numbers central-limit-theorem exponential-family probablity-distribution measure-theoretic-probability
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Updated
Jan 14, 2025