In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impac……続きを見る
This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making un……続きを見る
This textbook offers a self-contained introduction to probability, covering all topics required for further study in stochastic processes and stochastic analysis, as well as some advanced topics at ……続きを見る
This book presents the need for Renewable Energy Technologies (RET) in the context of providing a solution for the depletion of conventional resources, protecting the environment and enhancing the e……続きを見る
著者:Stefan Selle
出版社: Springer Berlin Heidelberg
発売日: 2024年12月02日
Dieses Lehrbuch erklärt auf narrative und direkte Weise die wichtigen Zusammenhänge zwischen Data Science, Künstlicher Intelligenz und anderen Disziplinen und Domänen wie Datenschutz und Ethik, mit ……続きを見る
It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite th……続きを見る
Dieses Buch vereinigt Konzepte und Methoden der stochastischen Modellbildung, der statistischen Analyse und der aktuariellen Anwendung in einem Band.
Dabei wird eine kompakte, aber dennoch für Theor……続きを見る
Wir leben in einer Zeit, in der Daten immer mehr Relevanz besitzen, und zwar sowohl für die Geschäftsmodelle von Unternehmen im Gesamten als auch für einzelne Funktionsbereiche. Insbesondere im Mark……続きを見る
This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with Python, we show how to conduct research in empirical financ……続きを見る
Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Mu……続きを見る
Il volume raccoglie gli appunti delle lezioni di Analisi Statistica multivariata ed è il risultato dell'impegno comune delle autrici. Nella suddivisione del lavoro i capitoli primo, secondo e quinto……続きを見る
This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science. The authors present problems of validity, reli……続きを見る
Giving much more attention to noninferiority testing, this second edition provides readers with a rich repertoire of efficient solutions to specific equivalence and noninferiority testing problems f……続きを見る
著者:Stefan Sandfeld
出版社: Springer International Publishing
発売日: 2024年05月08日
This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all meth……続きを見る
著者:Stefan Schäffler
出版社: Springer Berlin Heidelberg
発売日: 2024年08月23日
Starting with the Shannon-Wiener approach to mathematical information theory, allowing a mathematical "measurement" of an amount of information, the book begins by defining the terms message and inf……続きを見る
著者:Stefan Bracke
出版社: Springer Berlin Heidelberg
発売日: 2024年02月06日
This textbook teaches methods of data analytics for technical reliability analyses and risk prognosis on the basis of probabilistics, statistics and modelling. The methods of Reliability Engineering……続きを見る
We are currently witnessing the emergence of a ‘third culture’, driven by unprecedented developments that are changing the playing field. These include advances in AI, big data analysis and robotics……続きを見る
著者:Stefan Tappe
出版社: Springer Berlin Heidelberg
発売日: 2023年12月28日
Dieses essential bietet eine prägnante und gute verständliche Einführung in die Theorie der stochastischen partiellen Differentialgleichungen. Wir werden die dafür benötigten mathematischen Hilfsmit……続きを見る
著者:Stefan Prorok
出版社: Springer Berlin Heidelberg
発売日: 2023年02月15日
Dieses Buch stellt statistischen Verfahren und Kennzahlen vor, um Unsicherheiten in der industriellen Produktion zu analysieren und einzuschätzen. Der Autor legt hierbei einen besonderen Fokus auf d……続きを見る
The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosi……続きを見る
著者:Stefan Schäffler
出版社: Springer International Publishing
発売日: 2018年06月23日
This textbook shall serve a double purpose: first of all, it is a book about generalized stochastic processes, a very important but highly neglected part of probability theory which plays an outstan……続きを見る
This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of B……続きを見る
Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate-level course in Mathematical Statistics. It covers all the key topicsーstatistical mod……続きを見る
This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with R, we show how to conduct research in empirical finance fro……続きを見る
With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer in……続きを見る
This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introductio……続きを見る
The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and meth……続きを見る
Many important planning decisions in society and business depend on proper knowledge and a correct understanding of movement, be it in transportation, logistics, biology, or the life sciences. Today……続きを見る
The present volume contains the most advanced theories on the martingale approach to central limit theorems. Using the time symmetry properties of the Markov processes, the book develops the techniq……続きを見る
Combining theory, methodology and tools, this open access book illustrates how to guide innovation in today’s digitized business environment. Highlighting the importance of human knowledge and exper……続きを見る