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ENGLISH

Modern Statistical Methods And Theory - An Introduction To Nonparametric And High-Dimensional Statistics

by Rajen D. (University Of Cambridge) Shah e Richard J. (University Of Cambridge) Samworth

~~74,35€~~ 66,92€ 10% OFF

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 Accessible, self-contained, and yet rigorous, this book presents core contemporary statistical methods and theory, with complete exercise solutions. Ideal for master's and graduate-level students, as well as researchers, in statistics and machine learning and related disciplines. This title is also available as Open Access on Cambridge Core.
ENGLISH

A Course In Interacting Particle Systems

by Jan M. (Academy Of Sciences Of The Czech Republic, Prague) Swart

~~60,83€~~ 54,75€ 10% OFF

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 The culmination of years of teaching experience, this text provides a modern introduction to the mathematical theory of interacting particle systems, with a focus on graphical representations and duality theory. It is designed to support an advanced one-semester course, as well as serving as a useful reference for researchers.
ENGLISH

Networks - Probability And Statistics

by A. D. (Universitat Zurich) Barbour e Gesine (University Of Oxford) Reinert

~~202,78€~~ 182,50€ 10% OFF

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 This text explains how to build and analyze plausible models for random networks, and how to use statistics for validating such models, for detecting unusual features in the data, and for making predictions. It uniquely balances mathematical rigour with accessibility, introducing readers to a topic with far-reaching applications.
ENGLISH

High-Dimensional Probability - An Introduction With Applications In Data Science

by Roman (University Of California, Irvine) Vershynin

~~87,87€~~ 79,08€ 10% OFF

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 This new edition of 'High-Dimensional Probability,' winner of the 2019 PROSE Award in Mathematics, offers an accessible and friendly introduction to key probabilistic methods for mathematical data scientists. Updated with 200 new exercises, it's ideal for a course or self-study, requiring only an undergraduate background in probability.
ENGLISH

Random Graphs And Complex Networks: Volume 2

by Remco (Technische Universiteit Eindhoven, The Netherlands) Van Der Hofstad

~~98,69€~~ 88,82€ 10% OFF

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 The first book to cover local convergence, this text discusses the local and global structure of random graph models for complex networks. Featuring examples of real-world networks for motivation and numerous exercises to build experience, it will be the definitive resource on the subject for researchers and graduate students.
ENGLISH

Modern Discrete Probability - An Essential Toolkit

by Sebastien (University Of Wisconsin, Madison) Roch

~~70,30€~~ 63,27€ 10% OFF

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 This largely self-contained text introduces discrete probability and its applications, at a level suitable for beginning graduate students in mathematics, computer science, statistics and engineering. Each chapter includes exercises and pointers to the wider literature, covering a wide spectrum of essential techniques and key examples.
ENGLISH

Statistical Hypothesis Testing In Context: Volume 52 - Reproducibility, Inference, And Science

by Erica H. Brittain e Michael P. Fay

72,88€ + 10% CARD

 With over 60 years of applied experience, Fay and Brittain present hypothesis testing and compatible confidence intervals, emphasize strategies to address the reproducibility crisis, and provide methods for proper causal interpretation in scientific research. The book presents a full scope of tools and advice on their appropriate use in practice.
ENGLISH

Mathematical Foundations Of Infinite-Dimensional Statistical Models

by Evarist Gine e Richard (University Of Cambridge) Nickl

64,89€ + 10% CARD

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 High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples or from Gaussian regression/signal in white noise problems.
ENGLISH

The Fundamentals Of Heavy Tails - Properties, Emergence, And Estimation

by Adam (California Institute Of Technology) Wierman, Bert (Stichting Centrum Voor Wiskunde En Informatica (Cwi), Amsterdam) Zwart e Jayakrishnan (Indian Institute Of Technology, Bombay) Nair

74,35€ + 10% CARD

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 Heavy tails - extreme events more common than expected - are everywhere, but they are still treated as mysterious and confusing because the necessary mathematical models are not widely known. For the first time, this book provides a rigorous introduction to heavy-tailed distributions accessible to anyone who knows elementary probability.
ENGLISH

Statistical Hypothesis Testing In Context: Volume 52 - Reproducibility, Inference, And Science

by Erica H. Brittain e Michael P. Fay

74,35€ + 10% CARD

free shipping

 With over 60 years of applied experience, Fay and Brittain present hypothesis testing and compatible confidence intervals, emphasize strategies to address the reproducibility crisis, and provide methods for proper causal interpretation in scientific research. The book presents a full scope of tools and advice on their appropriate use in practice.
ENGLISH

Spectral Analysis For Univariate Time Series

by Andrew T. (Imperial College London) Walden e Donald B. (University Of Washington) Percival

131,13€ + 10% CARD

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 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.
ENGLISH

Model-Based Clustering And Classification For Data Science - With Applications In R

by Adrian E. (University Of Washington) Raftery, Charles Bouveyron, Gilles Celeux e T. Brendan (University College Dublin) Murphy

104,09€ + 10% CARD

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 This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods.
ENGLISH

High-Dimensional Probability - An Introduction With Applications In Data Science

by Roman Vershynin

79,50€ + 10% CARD

 The data sciences are moving fast, and probabilistic methods are both the foundation and a driver. This highly motivated text brings beginners up to speed quickly and provides working data scientists with powerful new tools. Ideal for a basic second course in probability with a view to data science applications, it is also suitable for self-study.
ENGLISH

Probability - Theory And Examples

by Rick Durrett

98,05€ + 10% CARD

 The new edition of this lively but rigorous introduction to measure theoretic probability theory, designed for use in a graduate course, contains a new chapter on multidimensional Brownian motion and its relationship to partial differential equations (PDEs), a topic that is finding new applications. Some 200 examples and 450 exercises help readers build practical intuition.
ENGLISH

High-Dimensional Statistics - A Non-Asymptotic Viewpoint

by Martin J. Wainwright

94,08€ + 10% CARD

 Recent years have seen an explosion in the volume and variety of data collected in scientific disciplines from astronomy to genetics and industrial settings ranging from Amazon to Uber. This graduate text equips readers in statistics, machine learning, and related fields to understand, apply, and adapt modern methods suited to large-scale data.
ENGLISH

High-Dimensional Statistics - A Non-Asymptotic Viewpoint

by Martin J. (University Of California, Berkeley) Wainwright

95,98€ + 10% CARD

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 Recent years have seen an explosion in the volume and variety of data collected in scientific disciplines from astronomy to genetics and industrial settings ranging from Amazon to Uber. This graduate text equips readers in statistics, machine learning, and related fields to understand, apply, and adapt modern methods suited to large-scale data.
ENGLISH

Predictive Statistics - Analysis And Inference Beyond Models

by Bertrand S. Clarke e Jennifer L. Clarke

109,98€ + 10% CARD

 Aimed at statisticians and machine learners, this retooling of statistical theory asserts that high-quality prediction should be the guiding principle of modeling and learning from data, then shows how. The fully predictive approach to statistical problems outlined embraces traditional subfields and 'black box' settings, with computed examples.
ENGLISH

Predictive Statistics - Analysis And Inference Beyond Models

by Bertrand S. (University Of Nebraska, Lincoln) Clarke e Jennifer L. (University Of Nebraska, Lincoln) Clarke

112,21€ + 10% CARD

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 Aimed at statisticians and machine learners, this retooling of statistical theory asserts that high-quality prediction should be the guiding principle of modeling and learning from data, then shows how. The fully predictive approach to statistical problems outlined embraces traditional subfields and 'black box' settings, with computed examples.
ENGLISH

Random Graphs And Complex Networks

by Remco Van Der Hofstad

72,88€ + 10% CARD

 Network science is one of the fastest growing areas in science and business. This classroom-tested, self-contained book is designed for master's-level courses and provides a rigorous treatment of random graph models for networks, featuring many examples of real-world networks for motivation and numerous exercises to build intuition and experience.
ENGLISH

Probability On Trees And Networks

by Russell Lyons e Yuval Peres

67,58€ + 10% CARD

 This authoritative state-of-the-art account of probability on networks for graduate students and researchers in mathematics, statistics, computer science, and engineering, brings together sixty years of research, including many developments where the authors played a leading role. The text emphasizes intuition, while also giving complete proofs.
ENGLISH

Mathematical Foundations Of Infinite-Dimensional Statistical Models

by Evarist Gine e Richard Nickl

131,18€ + 10% CARD

 High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.
ENGLISH

Confidence, Likelihood, Probability - Statistical Inference With Confidence Distributions

by Nils Lid Hjort e Tore Schweder

109,98€ + 10% CARD

 This is the first book to develop a methodology of confidence distributions, with a lively mix of theory, illustrations, applications and exercises.
ENGLISH

Quantum Stochastics

by Mou-Hsiung Chang

83,48€ + 10% CARD

 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.
ENGLISH

Nonparametric Estimation Under Shape Constraints - Estimators, Algorithms And Asymptotics

by Geurt Jongbloed e Piet Groeneboom

104,68€ + 10% CARD

 This book treats the latest developments in the theory of order-restricted inference, with special attention to nonparametric methods and algorithmic aspects. Each chapter ends with a set of exercises of varying difficulty. The theory is illustrated with the analysis of real-life data, which are mostly medical in nature.
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