Information Geometry and Its Applications
Shun-Ichi Amari
The Design of Approximation Algorithms
David P. Williamson & David B. Shmoys
Electromagnetic Wave Theory
Jin Au Kong
Numerical Optimization
Jorge Nocedal & Stephen J. Wright
Springer Series in Operations Research (1)
Bayesian Data Analysis
Andrew Gelman
Collection of Problems in Probability Theory
L. D. Meshalkin
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Statistical Rethinking: A Bayesian Course With Examples in R ...
Richard McElreath
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Pen and Paper Exercises in Machine Learning
Michael U. Gutmann
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Forecasting Economic Time Series
C. W. J. Granger & Paul Newbold & Karl Shell