bayesian models

Computational Systems Biology - by Paola Lecca & Angela Re & Adaoha Elizabeth Ihekwaba & Ivan Mura & Thanh-Phuong Nguyen (Hardcover)

Cognitive Computing: Theory and Applications - (Handbook of Statistics) by Vijay V Raghavan & Venkat N Gudivada & Venu Govindaraju & C R Rao

Functional Data Analysis - (Springer Statistics) 2nd Edition by James Ramsay & B W Silverman (Hardcover)

Fuzzy Cluster Analysis - (Wiley IBM PC) by Frank Höppner & Frank Klawonn & Rudolf Kruse & Thomas Runkler (Hardcover)

Resampling-Based Multiple Testing - (Wiley Probability and Statistics) by Peter H Westfall & S Stanley Young (Hardcover)

Handbook of Chemometrics and Qualimetrics - (Data Handling in Science and Technology) (Hardcover)

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

Bayesian Optimization - by Peng Liu (Paperback)

A Treatise on Probability - by John Maynard Keynes (Hardcover)

Pattern Recognition and Machine Learning - (Information Science and Statistics) by Christopher M Bishop (Hardcover)

Computational Learning and Probabilistic Reasoning - by A Gammerman (Hardcover)

Ecological Models and Data in R - by Benjamin M Bolker (Hardcover)

JMP for Mixed Models - by Ruth Hummel & Elizabeth a Claassen & Russell D Wolfinger (Hardcover)

Grokking Machine Learning, Second Edition - by Luis Serrano (Paperback)

The Improbability Principle - by David J Hand (Paperback)

Statistics: 1001 Practice Problems for Dummies (+ Free Online Practice) - by The Experts at Dummies (Paperback)

Generative Ai: The Insights You Need from Harvard Business Review - (HBR Insights) (Paperback)

Monte Carlo Principles and Neutron Transport Problems - (Dover Books on Mathematics) by Jerome Spanier & Ely M Gelbard (Paperback)

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

Statistical Inference - (Dover Books on Mathematics) by Robert B Ash (Paperback)

Active Machine Learning with Python - by Margaux Masson-Forsythe (Paperback)

Probability and Statistics for Machine Learning - by Charu C Aggarwal (Hardcover)

Graph Neural Networks in Action - (In Action) by Keita Broadwater & Namid Stillman (Paperback)

Introduction to Meta-Analysis - 2nd Edition by Michael Borenstein & Larry V Hedges & Julian P T Higgins & Hannah R Rothstein (Hardcover)