bayesian models

Predicting Structured Data - (Neural Information Processing) by Gokhan Bakir & Thomas Hofmann & Bernhard Scholkopf (Paperback)

Introduction to Linear Regression Analysis - (Wiley Probability and Statistics) 6th Edition by Douglas C Montgomery (Hardcover)

Monte Carlo Simulation in Dependability Analysis - by Franck Bayle (Hardcover)

Multivariate Statistics and Machine Learning in R for Beginners - by Andreas Tilevik (Hardcover)

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

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

An Introduction to Statistical Learning - (Springer Texts in Statistics) (Paperback)

Stochastic Finance with Python - by Avishek Nag (Paperback)

Statistics Using Python - by Oswald Campesato (Paperback)

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

Predictive Modeling with SAS Enterprise Miner - 3rd Edition by Kattamuri S Sarma (Paperback)

Big Data Analysis - by Junwei Lu (Hardcover)

Stochastic Networks and Queues - (Stochastic Modelling and Applied Probability) by Philippe Robert (Hardcover)

JMP Start Statistics - 6th Edition by John Sall & Mia L Stephens & Ann Lehman (Paperback)

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

Biostatistics Using JMP - by Trevor Bihl (Paperback)

Deep Learning in Computational Mechanics - 2nd Edition by Leon Herrmann & Moritz Jokeit & Oliver Weeger & Stefan Kollmannsberger (Hardcover)

Linear Algebra and Optimization for Machine Learning - 2nd Edition by Charu C Aggarwal (Hardcover)

Basic Statistics for Life Scientists - by Jakub Tomek (Hardcover)

Building Regression Models with SAS - by Robert N Rodriguez (Paperback)

Elements of Probabilistic Analysis with Applications - (Mathematics and Its Applications) by Gheorghe Constantin & Ioana Istratescu (Hardcover)