This book introduces decision theory with a focus on dynamic programming and sequential decision-making under uncertainty. It provides a clear, intuitive treatment of the mathematics behind making optimal decisions over time, covering topics such as Markov decision processes, Bellman equations, and applications in operations research, economics, and statistics. Aimed at students and practitione…
Probability and Random Variables provides a thorough introduction to probability theory and the behavior of random variables, emphasizing problem-solving and foundational principles. It covers core topics such as combinatorics, discrete and continuous distributions, expectations, and limit theorems. Through detailed examples and exercises, the book equips students with a deep understanding of p…