bayesian models

Computational Pharmaceutics: Application of Molecular Modeling in Drug Delivery - by Gulliver Altman (Hardcover)

Stochastic Filtering Theory - (Stochastic Modelling and Applied Probability) Abridged by G Kallianpur (Hardcover)

Introduction to Deep Learning and Neural Networks with Python(tm) - by Ahmed Fawzy Gad & Fatima Ezzahra Jarmouni (Paperback)

Symmetric Markov Processes, Time Change, and Boundary Theory - (London Mathematical Society Monographs) by Zhenqing Chen & Masatoshi Fukushima

Probability for Deep Learning Quantum - by Charles R Giardina (Paperback)

Physiologically Based Pharmacokinetic (Pbpk) Modeling - by Jeffrey W Fisher & Jeffery M Gearhart & Zhoumeng Lin (Paperback)

Probability Models - (Handbook of Statistics) (Hardcover)

Semiparametric Theory and Missing Data - (Springer Statistics) by Anastasios Tsiatis (Hardcover)

Structural Equations with Latent Variables - (Wiley Probability and Statistics) by Kenneth A Bollen (Hardcover)

Large Language Models - (Artificial Intelligence: Foundations, Theory, and Algorithms) (Hardcover)

Machine Learning and Artificial Intelligence in Radiation Oncology - by Barry S Rosenstein & Tim Rattay & John Kang (Paperback)

Markov Chains: Theory and Applications - (Handbook of Statistics) by C R Rao & Arni S R Srinivasa Rao (Hardcover)