bayesian models

An Introduction to Statistical Learning - (Springer Texts in Statistics) 2nd Edition

Finite Markov Processes and Their Applications - (Dover Books on Mathematics) by Marius Iosifescu (Paperback)

Information Theory and Statistics - (Dover Books on Mathematics) by Solomon Kullback (Paperback)

Brownian Motion, Martingales, and Stochastic Calculus - (Graduate Texts in Mathematics) by Jean-François Le Gall (Hardcover)

Branch-And-Price - by Jacques Desrosiers & Marco Lübbecke & Guy Desaulniers & Jean Bertrand Gauthier (Hardcover)

Nonparametric Estimation of Probability Densities and Regression Curves - (Mathematics and Its Applications) by Nadaraya (Hardcover)

Nonstandard Methods in Stochastic Analysis and Mathematical Physics - (Dover Books on Mathematics) (Paperback)

Stochastic Finance with Python - by Avishek Nag (Paperback)

Time Series Analysis with Python Cookbook - Second Edition - 2nd Edition by Tarek A Atwan (Paperback)

Behavioral Data Analysis with R and Python - by Florent Buisson (Paperback)

All of Statistics - (Springer Texts in Statistics) by Larry Wasserman (Hardcover)

Introduction to Transfer Learning - (Machine Learning: Foundations, Methodologies, and Applications) by Jindong Wang & Yiqiang Chen (Paperback)

Statistics Using Python - by Oswald Campesato (Paperback)

Statistics II for Dummies - 2nd Edition by Deborah J Rumsey (Paperback)

SAS for Mixed Models - by Walter W Stroup & George A Milliken & Elizabeth a Claassen (Hardcover)

Hidden Semi-Markov Models - by Shun-Zheng Yu (Paperback)

Regression Modeling Strategies - (Springer Statistics) 2nd Edition by Frank E Harrell Jr (Paperback)

Quantization and Fast Inference - by Vivek Kalyanarangan (Paperback)

Bayesian Biostatistics - (Statistics in Practice) by Emmanuel Lesaffre & Andrew B Lawson (Hardcover)

Deep Generative Modeling - 2nd Edition by Jakub M Tomczak (Hardcover)