Stochastik & Wahrscheinlichkeitsrechnung

Official Statistics-A Plaything of Politics?

Reimund Mink

<p>This book describes official statistics as a tool to hold up a mirror to society – but also as an instrument for those who can manipulate this mirror. It addresses the precarious intera...

Algorithmic Bias: Verzerrungen durch Algorithmen verstehen und verhindern

Tobias Bär

<p>Sind Algorithmen Freund oder Feind?</p><p><br></p><p>Der menschliche Verstand ist evolutionär darauf ausgelegt, Abkürzungen zu nehmen, um zu überleben. Wi...

Das probabilistische SIR-Modell (PSIR) im Pandemieprozess

Marcus Hellwig

Bei allen Erkenntnissen, die im COVID-Prozess erfahren wurden, bleibt eine wesentliche erhalten: "Das Virus bleibt ein ständiger Begleiter". Im Gegensatz zu regelmäßig auftretenden Infe...

Innovations in Multivariate Statistical Modeling

<p>Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with dive...

Modeling Reality with Mathematics

Alfio Quarteroni

<p>Simulating the behavior of a human heart, predicting tomorrow's weather, optimizing the aerodynamics of a sailboat, finding the ideal cooking time for a hamburger: to solve these prob...

Epidemics

Ottar N. Bjørnstad

This book is designed to be a practical study in infectious disease dynamics. It offers an easy-to-follow implementation and analysis of mathematical epidemiology. It focuses on recent case studie...

Berechnung von Wahrscheinlichkeiten zum Auftreten von Runs mittels Markov-Ketten

Acelya Durak

Bachelorarbeit aus dem Jahr 2022 im Fachbereich Mathematik - Stochastik, Note: 1,7, Universität Hildesheim (Stiftung), Sprache: Deutsch, Abstract: Die vorliegende Bachelorarbeit beschäftigt sich...

Handbook of Statistical Bioinformatics

<p>Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational...

Interdisciplinary Statistics in Mexico

<p>​The volume includes a collection of peer-reviewed contributions from among those presented at the FNE, the main conference organized every two years by the Mexican Statistical Society ...

Statistical Inference and Machine Learning for Big Data

Mayer Alvo

<p>This book presents a variety of&nbsp;advanced statistical methods at&nbsp;a level suitable for&nbsp;advanced undergraduate and graduate students as well as for others interest...

Inverse Probleme mit stochastisch modellierten Messdaten

Mathias Richter / Stefan Schäffler

Wesentliche Zielsetzung dieses Buchs ist eine in sich abgeschlossene Darstellung der zur Lösung inverser Probleme notwendigen Kenntnisse von der mathematischen Analyse bis zur numerischen Lösung...

Multivariate Reduced-Rank Regression

Gregory C. Reinsel / Raja P. Velu / Kun Chen

<p>This book provides an account of multivariate reduced-rank regression, a tool of multivariate analysis that enjoys a broad array of applications. In addition to a historical review of the...

Preisprognose mit Deep Learning für Small Caps

Fabian Weiß

Masterarbeit aus dem Jahr 2022 im Fachbereich Mathematik - Statistik, Note: 2,0, FernUniversität Hagen, Sprache: Deutsch, Abstract: Im Rahmen dieser Ausarbeitung soll versucht werden, die künfti...

New Frontiers in Bayesian Statistics

<div><p>This book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting, BaYSM 2021, held virtually due to the COVID-19 pandemic on 1-3 ...

Recent Advances on Sampling Methods and Educational Statistics

<p>This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future dire...

Optimization Algorithms for Distributed Machine Learning

Gauri Joshi

This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes their convergence speed. The book first introduces stochastic gradient descent...

Modern Biostatistical Methods for Evidence-Based Global Health Research

<p>This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It br...

Stochastic Calculus via Regularizations

Francesco Russo / Pierre Vallois

<p>The book constitutes an introduction to stochastic calculus, stochastic differential equations and related topics such as Malliavin calculus. On the other hand it focuses on the technique...

Integral Equation Methods for Evolutionary PDE

Lehel Banjai / Francisco-Javier Sayas

<div>This book provides a comprehensive analysis of time domain boundary integral equations and their discretisation by convolution quadrature and the boundary element method.</div><...

Repetitorium Stochastik

Günter Mühlbach

Das Hauptaugenmerk dieses kompakten Repetitoriums liegt auf einer möglichst anschaulichen, durch viele Beispiele motivierten Einführung in die Grundbegriffe und Methoden von Wahrscheinlichkeitsr...