Statistics Computation


Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control
An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)
The Nature of Statistical Learning Theory (Information Science and Statistics)
High-Dimensional Probability: An Introduction with Applications in Data Science
Probabilistic Graphical Models: Principles and Techniques
Information Theory, Inference, and Learning Algorithms
Genetic Programming: On the Programming of Computers by Means of Natural Selection (Complex Adaptive Systems)
Statistical Evidence: A Likelihood Paradigm (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Dynamical Processes on Complex Networks
Probability & Measure Theory
Deep Learning with Python
Elements of Information Theory
Probability Theory: The Logic of Science
Genetic Algorithms in Search, Optimization and Machine Learning