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eBooks Probabilité

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  • Introduction To Stochastic Calculus With Applications (2nd Edition)

    par Fima C Klebaner ...
    This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering.Self-contained and unified in presentation, the book ... En savoir plus

    32,02 €

  • ECONOMETRIC MODELS WITH PANEL DATA. APPLICATIONS WITH STATA

    The data panels are a special type of samples in which the behavior of a certain number of economic agents is followed over time. In this way, the researcher can perform economic analysis and specify models with the data of cross section that are obtained when all operators are considered in an instant of time. Different patterns of behaviour of all agents together studied in the different ... En savoir plus

    10,19 €

  • DYNAMIC ECONOMETRIC MODELS. STRUCTURAL STABILITY, COINTEGRATION AND PANEL DATA

    Usually explanatory variables in an econometric model are supposed related at one time with the endogenous variable, so usually the temporary sub-indices of all variables are equal. However, economic theory and other sciences lead us to dynamic relationship between the variables, since the impacts between variables can become manifest in later periods or extended to many periods. In this way ... En savoir plus

    9,05 €

  • Stationary Stochastic Models

    An Introduction

    par Riccardo Gatto ...
    Collection Livre 4 - World Scientific Series on Probability Theory and Its Applications
    This volume provides a unified mathematical introduction to stationary time series models and to continuous time stationary stochastic processes. The analysis of these stationary models is carried out in time domain and in frequency domain. It begins with a practical discussion on stationarity, by which practical methods for obtaining stationary data are described. The presented topics are ... En savoir plus

    91,97 €

  • Statistical Data Fusion

    'The book provides a comprehensive review of the DRM approach to data fusion. It is well written and easy to follow, although the technical details are not trivial. The authors did an excellent job in making a concise introduction of the statistical techniques in data fusion. The book contains several real data … Overall, I found that the book covers an important topic and the DRM is a promising ... En savoir plus

    60,97 €

  • Mathematical Modeling And Computation In Finance: With Exercises And Python And Matlab Computer Codes

    This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market ... En savoir plus

    35,94 €

  • Stochastic Partial Differential Equations with Additive Gaussian Noise

    Analysis and Inference

    par Ciprian A Tudor ...
    The stochastic partial differential equations (SPDEs) arise in many applications of the probability theory. This monograph will focus on two particular (and probably the most known) equations: the stochastic heat equation and the stochastic wave equation.The focus is on the relationship between the solutions to the SPDEs and the fractional Brownian motion (and related processes). An important ... En savoir plus

    51,80 €

  • Weak Convergence And Its Applications

    Weak convergence of stochastic processes is one of most important theories in probability theory. Not only probability experts but also more and more statisticians are interested in it. In the study of statistics and econometrics, some problems cannot be solved by the classical method. In this book, we will introduce some recent development of modern weak convergence theory to overcome defects of ... En savoir plus

    29,76 €

  • Probability And Stochastic Processes: Work Examples

    par Odile Pons ...
    The book is intended to undergraduate students, it presents exercices and problems with rigorous solutions covering the mains subject of the course with both theory and applications.The questions are solved using simple mathematical methods: Laplace and Fourier transforms provide direct proofs of the main convergence results for sequences of random variables.The book studies a large range of ... En savoir plus

    29,76 €

  • Data Science

    A Beginner's Guide

    par C. Raju ...
    Data science is a perfect blend of 10 per cent maths, 20 per cent statistics, 30 per cent common sense and 40 per cent applied knowledge. While you can learn maths and statistics, you need to accumulate certain experience for common sense to kick in and apply what you have learnt. This introductory book on data science builds upon an individual's innate knowledge and arms you with the tools to use ... En savoir plus

    3,72 €

  • Chancing It

    The Laws of Chance and How They Can Work for You

    par Robert Matthews ...
    Make your own luck by understanding probabilityOver the years, some very smart people have thought they understood the rules of chance?only to fail dismally. Whether you call it probability, risk, or uncertainty, the workings of chance often defy common sense. Fortunately, advances in math and science have revealed the laws of chance, and understanding those laws can help in your everyday life.In ... En savoir plus

    18,37 €

  • Doing Data Science

    Straight Talk from the Frontline

    Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter ... En savoir plus

    23,06 €

  • Stochastic Neutron Transport

    And Non-Local Branching Markov Processes

    Collection series Mathematics and Statistics (R0)
    This monograph highlights the connection between the theory of neutron transport and the theory of non-local branching processes. By detailing this frequently overlooked relationship, the authors provide readers an entry point into several active areas, particularly applications related to general radiation transport. Cutting-edge research published in recent years is collected here for convenient ... En savoir plus

    120,50 €

  • Dirichlet Forms and Related Topics

    In Honor of Masatoshi Fukushima’s Beiju, IWDFRT 2022, Osaka, Japan, August 22–26

    Collection series Springer Nature Proceedings excluding Computer Science
    This conference proceeding contains 27 peer-reviewed invited papers from leading experts as well as young researchers all over the world in the related fields that Professor Fukushima has made important contributions to.These 27 papers cover a wide range of topics in probability theory, ranging from Dirichlet form theory, Markov processes, heat kernel estimates, entropy on Wiener spaces, analysis ... En savoir plus

    129,77 €

  • Statistics with Posterior Probability and a PHC Curve

    par Hideki Toyoda ...
    Collection series Mathematics and Statistics (R0)
    This textbook reconstructs the statistics curriculum from the perspective of posterior probability.In recent years, there have been several reports that the results of studies using significant tests cannot be reproduced. It is a problem called a “reproducibility crisis”. For example, suppose we could reject the null hypothesis that “the average number of days to recovery in patients who took a ... En savoir plus

    120,50 €

  • AI-ML for Decision and Risk Analysis

    Challenges and Opportunities for Normative Decision Theory

    Collection series Business and Management (R0)
    This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also contributed to making normative decision theory more useful by forcing it to confront realistic ... En savoir plus

    203,00 €

  • Workload Modeling for Computer Systems Performance Evaluation

    Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap ... En savoir plus

    32,13 €

  • Applied Stochastic Differential Equations

    Collection Livre 10 - Institute of Mathematical Statistics Textbooks
    Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical technology and, in particular, their use in methodologies ... En savoir plus

    39,44 €

  • Concentration of Measure for the Analysis of Randomized Algorithms

    Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the Chernoff–Hoeffding bounds to more sophisticated ... En savoir plus

    44,38 €

  • Forecasting Stock Prices in 2026

    Mathematical Probabilistic Models

    Unlocking the pure mathematical secrets of the 2026 stock market requires moving far beyond the simple charts and guesses of the past.This book provides a deep dive into the rigorous world of advanced probabilistic forecasting. It covers the foundational pillars of multidimensional diffusions and heavy-tailed discontinuities. You will explore the fractional paradigm and rough volatility landscapes ... En savoir plus

    6,77 € ou Gratuit avec Kobo Plus

  • Univariate and Multivariate Methods for the Analysis of Repeated Measures Data

    par Tony Wragg ...
    Thesis (M.A.) from the year 1999 in the subject Mathematics - Statistics, grade: Passed, RMIT, course: MAppSc, language: English, abstract: This thesis considers both univariate and multivariate approaches to the analysis of a set of repeated-measures data. Since repeated measures on the same subject are correlated over time, the usual analysis of variance assumption of independence is often ... En savoir plus

    29,99 €

  • Markov-Ketten: ein kurzer Überblick

    Studienarbeit aus dem Jahr 2002 im Fachbereich Mathematik - Statistik, Note: 1.3, Fachhochschule Kiel (BWL), Veranstaltung: Referat in regulärer Vorlesung, Sprache: Deutsch, Abstract: "Warum ist es interessant sich mit Markov-Ketten zu beschäftigen?" Markov-Ketten dienen der Analyse oder/und Prognose der künftigen Entwicklungen z.B. auf den (Produkt)märkten. So können z.B. mit Hilfe von Modellen ... En savoir plus

    Gratuit

  • Statistik 2. Eine Zusammenfassung inkl. Formelsammlung

    par Dirk Schäfer ...
    Skript aus dem Jahr 1999 im Fachbereich Mathematik - Statistik, Note: keine, Hochschule RheinMain (FB Wirtschaft), Veranstaltung: Statistik, 2. Semester, Sprache: Deutsch, Abstract: Statistik 2. Semester 17.03.1999 Regressionsanalyse Beispiel: i Produktionsmenge (in Tsd.)X Kosten (in TDM)Y 1 2 4 2 4 8 3 5 9 4 7 12 5 8 13 6 10 14 7 13 17 Für eine Regressionsanalyse benötigt man zwei metrisch ... En savoir plus

    15,99 €

  • Discrete Choice Models

    Seminar paper from the year 2007 in the subject Mathematics - Statistics, grade: sehr gut (6.0), University of Fribourg (Departement für Mathematik), course: Freies Seminar des Departements für Mathematik, language: English, abstract: There are many settings in which the outcome we seek to model is a discrete choice among a set of alternatives. Almost non of these models can be consistently ... En savoir plus

    13,99 €