regression modeling

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

The Regularization Cookbook - by Vincent Vandenbussche (Paperback)

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

Handbook of Latent Variable and Related Models - (Handbook of Computing and Statistics with Applications) (Hardcover)

Data, Ai, and Noise - by Derek W Gibson (Paperback)

Optimization - (Springer Texts in Statistics) 2nd Edition by Kenneth Lange (Paperback)

Surrogate Modeling and Optimization - by Nam-Ho Kim (Hardcover)

Quantization and Fast Inference - by Vivek Kalyanarangan (Paperback)

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

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

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

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

R 4 Quick Syntax Reference - 3rd Edition by Margot Tollefson (Paperback)

Stochastic Finance with Python - by Avishek Nag (Paperback)

Differential Equations in Action: From Modeling to Theory - by Amelie Roberts (Hardcover)

Foundations and Advances of Machine Learning in Official Statistics - (Society, Environment and Statistics) by Florian Dumpert (Hardcover)

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

Supply Chain Analytics and Modelling - 2nd Edition by Nicoleta Tipi (Paperback)

AI Model Evaluation - by Leemay Nassery (Paperback)

Hyperparameter Tuning with Python - by Louis Owen (Paperback)

Statistics by Simulation - by Carsten F Dormann & Aaron M Ellison

Variational Methods in Nonlinear Analysis - (De Gruyter Textbook) 2nd Edition by Dimitrios C Kravvaritis & Athanasios N Yannacopoulos (Paperback)

Grokking Bayes - by Quan Nguyen (Paperback)

Data Science Using Python and R - (Wiley Methods and Applications in Data Mining) by Chantal D Larose & Daniel T Larose (Hardcover)