bayesian models

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

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

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

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

Deep Learning in Drug Design - by Qifeng Bai & Tingyang Xu & Junzhou Huang (Paperback)

Modeling Binary Correlated Responses - (Icsa Book Statistics) 2nd Edition by Jeffrey R Wilson & Kent A Lorenz & Lori P Selby (Hardcover)

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

Computational Learning Approaches to Data Analytics in Biomedical Applications - (Hardcover)

Elementary Statistics - by Everett Davies (Hardcover)

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

Bernstein Functions - (De Gruyter Studies in Mathematics) 3rd Edition by René L Schilling & Renming Song & Zoran Vondra&#269 & ek (Hardcover)

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

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

Unreliable - by Csaba Szabo

Small Area Estimation - (Wiley Survey Methodology) 2nd Edition by J N K Rao & Isabel Molina (Hardcover)

Graph Neural Networks: Foundations, Frontiers, and Applications - by Lingfei Wu & Peng Cui & Jian Pei & Liang Zhao (Paperback)

Bayesian Estimation of Dsge Models - (Econometric and Tinbergen Institutes Lectures) by Edward P Herbst & Frank Schorfheide (Hardcover)

Statistics, Data Mining, and Machine Learning in Astronomy - (Princeton Modern Observational Astronomy) (Hardcover)

Integrated Approach to Stochastic Analysis: Volume II - by Charlin Chester (Hardcover)

Modeling Evolution of Heterogeneous Populations - by Irina Kareva & Georgy Karev (Paperback)

Machine Learning in Protein Science - by Jinjin Li (Hardcover)

Computational Drug Discovery and Design - by Pamelia Clarkson (Hardcover)