Statistical Physics, Sator, Nicolas

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
Рейтинг:
Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: James, Gareth Witten, Daniela Hastie, Trevor Tibsh
Название: Introduction to statistical learning
ISBN: 1071614177 ISBN-13(EAN): 9781071614174
Издательство: Springer
Рейтинг:
Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.

Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.

An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

Автор: McElreath, Richard
Название: Statistical Rethinking
ISBN: 036713991X ISBN-13(EAN): 9780367139919
Издательство: Taylor&Francis
Рейтинг:
Цена: 83690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

Автор: Casquilho
Название: Introduction to Statistical Physics
ISBN: 1107053781 ISBN-13(EAN): 9781107053786
Издательство: Cambridge Academ
Рейтинг:
Цена: 62310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Rigorous and comprehensive, this textbook introduces undergraduate students to simulation methods in statistical physics. Any formalism is kept simple and derivations are worked out in detail to ensure the material is accessible to students from subjects other than physics.

Автор: Garban
Название: Noise Sensitivity of Boolean Functions and Percolation
ISBN: 1107432553 ISBN-13(EAN): 9781107432550
Издательство: Cambridge Academ
Рейтинг:
Цена: 40130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This account of the new and exciting area of noise sensitivity of Boolean functions - in particular applied to critical percolation - is designed for graduate students and researchers in probability theory, discrete mathematics, and theoretical computer science. It assumes a basic background in probability theory and integration theory. Each chapter ends with exercises.

Автор: Hemmo
Название: The Road to Maxwell`s Demon
ISBN: 1107424321 ISBN-13(EAN): 9781107424326
Издательство: Cambridge Academ
Рейтинг:
Цена: 49630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Addressing fundamental problems in physics, this book provides a philosophical perspective to statistical mechanics. Mathematical treatments are avoided and instead newly developed conceptual tools are used. This is a fascinating book for graduate students and researchers interested in the foundations and philosophy of physics.

Автор: Chang
Название: Quantum Stochastics
ISBN: 110706919X ISBN-13(EAN): 9781107069190
Издательство: Cambridge Academ
Рейтинг:
Цена: 61240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a systematic, self-contained treatment of the theory of quantum probability and quantum Markov processes for graduate students and researchers. Building a framework that parallels the development of classical probability, it aims to help readers up the steep learning curve of the quantum theory.

Автор: Diep Hung T.
Название: Statistical Physics: Fundamentals and Application to Condensed Matter
ISBN: 9814696250 ISBN-13(EAN): 9789814696258
Издательство: World Scientific Publishing
Рейтинг:
Цена: 68640.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The aim of this book is to provide the fundamentals of statistical physics and its application to condensed matter.

Автор: Abarbanel, Henry D. I. (university Of California, San Diego)
Название: Statistical physics of data assimilation and machine learning
ISBN: 1316519635 ISBN-13(EAN): 9781316519639
Издательство: Cambridge Academ
Рейтинг:
Цена: 58070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The theory of data assimilation and machine learning is introduced in an accessible and pedagogical manner, with a focus on the underlying statistical physics. This modern and cross-disciplinary book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Автор: Estrada, Ernesto; Knight, Philip A.
Название: A First Course in Network Theory
ISBN: 0198726465 ISBN-13(EAN): 9780198726463
Издательство: Oxford Academ
Рейтинг:
Цена: 46450.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Network theory is a major topic of interdisciplinary research which covers diverse areas including physics, mathematics and sociology. This book covers all the basics and the most commonly used concepts in the field, provides examples of their applications in solving practical problems, and clear indications on how to analyse their results.

Автор: Greg Conradi Smith
Название: Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
ISBN: 1107005361 ISBN-13(EAN): 9781107005365
Издательство: Cambridge Academ
Рейтинг:
Цена: 100310.00 T
Наличие на складе: Поставка под заказ.
Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
Рейтинг:
Цена: 97150.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.