gallager stochastic processes

Neural Engineering - 3rd Edition by Bin He (Paperback)

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

Struktur nichtlinearer Wellen - ein Modell für den Übergang zum Chaos - - by Klaus Kirchgässner (Paperback)

Distributed Algorithms for Message-Passing Systems - Annotated by Michel Raynal (Paperback)

Calculus of One Variable - (De Gruyter Textbook) by Nikolaos Halidias (Paperback)

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

Deep Learning in Computational Mechanics - 2nd Edition by Leon Herrmann & Moritz Jokeit & Oliver Weeger & Stefan Kollmannsberger (Hardcover)

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

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

Light - (De Gruyter Textbook) by Horst Kisch & Robin Perutz (Paperback)

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

JMP Essentials - 3rd Edition by Curt Hinrichs & Chuck Boiler & Susan Walsh (Paperback)

Measurement of the Inclusive Electron Cross-Section from Heavy-Flavour Decays and Search for Compressed Supersymmetric Scenarios with the Atlas

Process Machinery - (De Gruyter Stem) by Fred K Geitner & Ronald G Eierman (Paperback)

Intuitive Probability and Random Processes Using Matlab(r) - by Steven Kay (Paperback)

Luftreinhaltung - 4th Edition by Guenter Baumbach (Hardcover)

Optimization: An Introduction - (Studies in Systems, Decision and Control) by Libor Peka&#345 (Hardcover)

Functional Analysis with Applications - (De Gruyter Textbook) by Svetlin G Georgiev & Khaled Zennir (Paperback)

Cuda for Deep Learning - by Elliot Arledge (Paperback)

Enterprise Process Orchestration - by Bernd Ruecker & Leon Strauch (Hardcover)

Mathematical Foundations of Reinforcement Learning - by Shiyu Zhao (Hardcover)

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