bayesian models

Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics - (Statistics for Biology and Health) by Daniel Sorensen & Daniel Gianola

Advanced Machine Learning for Cyber-Attack Detection in Iot Networks - by Dinh Thai Hoang & Nguyen Quang Hieu & Diep N Nguyen & Ekram Hossain

Fundamentals of Active Inference - by Sanjeev V Namjoshi (Hardcover)

Machine Learning in Geohazard Risk Prediction and Assessment - by Biswajeet Pradhan & Daichao Sheng & Xuzhen He (Paperback)

Uncertain Input Data Problems and the Worst Scenario Method - (North-Holland Applied Mathematics and Mechanics) (Hardcover)

Bernoulli's Fallacy - by Aubrey Clayton

Probablistic Risk Assessment and Management for Engineers and Scientists - by Hiromitsu Kumamoto & Ernest J Henley (Paperback)

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

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

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

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

Bayesian Optimization - by Peng Liu (Paperback)

Perturbation Analysis of Optimization Problems - (Springer Operations Research and Financial Engineering) by J Frederic Bonnans & Alexander Shapiro

Sample Surveys: Inference and Analysis - (Handbook of Statistics) (Hardcover)

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

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

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

Deep Learning with Python, Third Edition - by Francois Chollet & Matthew Watson (Paperback)

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

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

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

Data Science Programming All-In-One for Dummies - by John Paul Mueller & Luca Massaron (Paperback)

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

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