bayesian models

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

Nonparametric Curve Estimation - (Springer Statistics) by Sam Efromovich (Hardcover)

Comsol Heat Transfer Models - by Layla S Mayboudi (Hardcover)

Quantile Regression - (Wiley Probability and Statistics) by Cristina Davino & Marilena Furno & Domenico Vistocco (Hardcover)

Bayesian Inference of State Space Models - (Springer Texts in Statistics) by Kostas Triantafyllopoulos (Hardcover)

Introduction to Python and Large Language Models - by Dilyan Grigorov (Paperback)

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

Machine Learning and AI with Simple Python and MATLAB Scripts - (IEEE Press) by M Umit Uyar (Hardcover)

Breakthroughs in Statistics - (Ernst Schering Research Foundation Workshops) by Kotz (Hardcover)

Bayesian Models - by N Thompson Hobbs & Mevin B Hooten (Hardcover)

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

Computational Intelligence and Feature Selection - (IEEE Press Computational Intelligence) by Richard Jensen & Qiang Shen (Hardcover)

Mathematical Statistics - by Dieter Rasch (Hardcover)

Machine Learning Concepts with Python and the Jupyter Notebook Environment - by Nikita Silaparasetty (Paperback)

Nonparametric Functional Data Analysis - (Springer Statistics) by Frédéric Ferraty & Philippe Vieu (Hardcover)

Computational Statistics - (Statistics and Computing) by James E Gentle (Hardcover)

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

Computational Methods for Data Analysis - by Yeliz Karaca & Carlo Cattani (Paperback)

The False Discovery Rate - (Statistics in Practice) by N W Galwey (Hardcover)

Statistical Modeling and Robust Inference for One-Shot Devices - by Narayanaswamy Balakrishnan & Elena Castilla (Paperback)

Statistical Analysis of Environmental Space-Time Processes - (Springer Statistics) by Nhu D Le & James V Zidek (Hardcover)

Regression Methods in Biostatistics - (Statistics for Biology and Health) 2nd Edition (Paperback)

Convex Optimization for Machine Learning - by Changho Suh (Hardcover)

The Invariance Principle - by David Lopez-Paz (Paperback)