Probability-generatedNorms – Bücher, CDs, LPs und mehr, Seite 3

Flemming Albers
Machine Learning-gestützte Abflussvorhersagen in Abwassernetzen

Der Klimawandel stellt die Wasserwirtschaft vor immense Herausforderungen, insbesondere durch Extremwetterereignisse, die weltweit Einfluss auf die Wasserressourcen nehmen. Um diese Herausforderungen zu b…

lieferbar ab 14.4.2026.

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Rechtskultur 13

Recht, Erwartung und Wahrscheinlichkeit in der Neuzeit Law, expectation and probability in the modern era

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Volkan Hac¿o¿lu
The Economic Analysis of Random Events

This book investigates applications of probability theory to random events from an economic standpoint and considers how economics can deal with uncertainty in today's world. As such the nature of chance …

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A.R. & Machines

The Art Of German Psychedelic 1970 - 1974

(14)

Wir können nicht sicherstellen, dass die Bewertungen von solchen Verbrauchern stammen, die die Ware tatsächlich genutzt oder erworben haben.

Werkschau des innovativen Avantgarde-Projekts der frühen 70er Jahre von Achim Reichel. Das aufwändig gestaltete 10 CD-Boxset enthält neben den 5 Originalalben fast fünf Stunden rare und unveröffentlichte …

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10 CDs

Paul Fearnhead, Christopher Nemeth, Chris J. Oates
Scalable Monte Carlo for Bayesian Learning

An intuitive introduction to advanced topics in Markov chain Monte Carlo (MCMC), presenting cutting-edge developments that address the crucial issue of scalability. It could form the basis for a graduate-…

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Denis Denisov, Dmitry Korshunov, Vitali Wachtel
Markov Chains with Asymptotically Zero Drift

This text provides a comprehensive presentation of results for time-homogeneous Markov chains with asymptotically zero drift. Including novel results and original research, this monograph will interest re…

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Nathanaël Berestycki, Ellen Powell
Gaussian Free Field and Liouville Quantum Gravity

In this comprehensive volume, the authors introduce some of the most important recent developments at the intersection of probability theory and mathematical physics, including the Gaussian free field, Ga…

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Jayakrishnan Nair, Adam Wierman, Bert Zwart
The Fundamentals of Heavy Tails

Heavy tails -extreme events or values more common than expected -emerge everywhere: the economy, natural events, and social and information networks are just a few examples. Yet after decades of progress,…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

lieferbar ab 31.5.2026.

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Mark Prell
What Are the Odds?

From bar bets to Nobel Prizes, viral outbreaks to lottery wins, how statistics shapes our choices, reveals hidden truths, and guides us toward certainty in uncertain times.We live in an uncertain world. M…

lieferbar ab 24.4.2026.

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

lieferbar ab 31.5.2026.

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Muhammad Imran, Michail Tsagris, Farrukh Jamal, Christophe Chesneau
Implementing R for Statistics

Implementing R for Statistics provides comprehensive coverage of basic statistical concepts using this important open-source programming language tool, from installing R and RStudio, to exploring its basi…

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Allen B. Downey
Probably Overthinking It

An essential guide to the ways data can improve decision making.Statistics are everywhere: in news reports, at the doctor's office, and in every sort of forecast, from the stock market to the weather. Blo…

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Nathalie Peyrard
A Comprehensive Guide to HSMM

Hidden Semi-Markov Models (HSMMs) have been extensively used for diverse applications where the objective is to analyze time series whose dynamics can be explained by a hidden process.A Comprehensive Guid…

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Philippe Picard
Abel-Gontcharoff Pseudopolynomials and Stochastic Applications

This book proposes a new mathematical methodology for addressing first passage problems, particularly in various classical stochastic models of applied probability. This approach is based on the so-called…

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Fortunato Pesarin, Luigi Salmaso
Permutation Tests for Complex Data

TIMELY UPDATE OF A POPULAR EDITION ON PERMUTATION TESTING WITH NUMEROUS CASE STUDIES INCLUDED THROUGHOUTThe newly revised and updated Second Edition of Permutation Tests for Complex Data describes permuta…

lieferbar in mind. 4 Wochen

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Gabriel Lord, Cónall Kelly
An Introduction to Stochastic Modeling

An Introduction to Stochastic Modeling, Fifth Edition bridges the gap between basic probability and an intermediate level course in stochastic processes, serving as the foundation for either a one-semeste…

lieferbar in mind. 4 Wochen

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Yudi Pawitan
In All Likelihood

This new, updated second edition of In All Likelihood explores the central role of likelihood in a wide spectrum of statistical problems, ranging from simple comparisons-such as evaluating accident rates …

lieferbar ab 30.6.2026.

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Kimberly F Sellers
The Conway-Maxwell-Poisson Distribution

This is the first comprehensive introduction to the Conway-Maxwell-Poisson distribution and its contributions in statistical theory and computing in R, including its uses in count data modelling. An essen…

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Mounir Zili
Generalized Fractional Brownian Motion

This comprehensive book establishes the Zili generalized fractional Brownian motion (ZgfBm) as a powerful new foundation in the mathematical theory of stochastic processes.Generalized Fractional Brownian …

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