bayesian models

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

Multifaceted Uncertainty Quantification - (De Gruyter Stem) by Isaac Elishakoff (Paperback)

Data Management for Natural Scientists - (De Gruyter Textbook) by Matthias Hofmann (Paperback)

Modeling Decisions for Artificial Intelligence - by Vicenc Torra & Yasuo Narukawa (Paperback)

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)

Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing - by Jean-Francois Giovannelli & Jérôme Idier (Hardcover)

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

Modelling Stochastic Uncertainties - (De Gruyter Textbook) by Mohammed Elmusrati (Paperback)

Bayesian and Frequentist Regression Methods - (Springer Statistics) by Jon Wakefield (Hardcover)

Quantum Computing and Quantum Machine Learning for Engineers and Developers - by Jesse Van Griensven Thé & Roydon Andrew Fraser & Jose Rosas-Bustos

Deep Learning on Embedded Systems - by Tariq M Arif (Hardcover)

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

Advanced Retrieval-Augmented Generation - by Wendy Ran Wei & Huijun Wu (Hardcover)

Quantifying Uncertainty in Subsurface Systems - (Geophysical Monograph) by Céline Scheidt & Lewis Li & Jef Caers (Hardcover)

Time Series Analysis and Its Applications - (Springer Texts in Statistics) 5th Edition by Robert H Shumway & David S Stoffer (Hardcover)

Mathematical Models in Epidemiology - (Texts in Applied Mathematics) by Fred Brauer & Carlos Castillo-Chavez & Zhilan Feng (Hardcover)

Parametric Statistical Theory - (De Gruyter Textbook) by Johann Pfanzagl (Hardcover)

Statistical Distributions - 4th Edition by Catherine Forbes & Merran Evans & Nicholas Hastings & Brian Peacock (Paperback)