Recent Advances In Stochastic Modeling And Data Analysis

Author : Christos H Skiadas
Publisher : World Scientific
Page : 668 pages
File Size : 43,6 Mb
Release : 2007-11-16
Category : Mathematics
ISBN : 9789814474474

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Recent Advances In Stochastic Modeling And Data Analysis by Christos H Skiadas Pdf

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances in different fields is emphasized, especially new optimization and statistical methods, data warehouse, data mining and knowledge systems, neural computing, and bioinformatics.

Author : Christos H. Skiadas
Publisher : World Scientific
Page : 669 pages
File Size : 54,7 Mb
Release : 2007
Category : Mathematics
ISBN : 9789812709691

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Recent Advances in Stochastic Modeling and Data Analysis by Christos H. Skiadas Pdf

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances in different fields is emphasized, especially new optimization and statistical methods, data warehouse, data mining and knowledge systems, neural computing, and bioinformatics. Sample Chapter(s). Chapter 1: An approach to Stochastic Process using Quasi-Arithmetic Means (373 KB). Contents: Stochastic Processes and Models; Distributions; Insurance; Stochastic Modeling for Healthcare Management; Markov and Semi Markov Models; Parametric/Non-Parametric; Dynamical Systems/Forecasting; Modeling and Stochastic Modeling; Statistical Applications in Socioeconimic Problems; Sampling and Optimization Problems; Data Mining and Applications; Clustering and Classification; Applications of Data Analysis; Miscellaneous. Readership: Researchers in probability and statistics, stochastics and fuzzy logic.

Author : Ansgar Steland,Ewaryst Rafajłowicz,Krzysztof Szajowski
Publisher : Springer
Page : 492 pages
File Size : 43,5 Mb
Release : 2015-02-04
Category : Mathematics
ISBN : 9783319138817

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Stochastic Models, Statistics and Their Applications by Ansgar Steland,Ewaryst Rafajłowicz,Krzysztof Szajowski Pdf

This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering. Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few. This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.

Author : Field Cady
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 52,7 Mb
Release : 2017-02-28
Category : Mathematics
ISBN : 9781119092940

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The Data Science Handbook by Field Cady Pdf

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.

Author : Mariano J Valderrama Bonnet,Ramon Gutierrez
Publisher : World Scientific
Page : 326 pages
File Size : 46,5 Mb
Release : 1994-09-30
Category : Electronic
ISBN : 9789814550703

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Selected Topics On Stochastic Modelling by Mariano J Valderrama Bonnet,Ramon Gutierrez Pdf

This volume contains a selection of papers on recent developments in fields such as stochastic processes, multivariate data analysis and stochastic models in operations research, earth and life sciences and information theory, from an applicative perspective. Some of them have been extracted from lectures given at the Department of Statistics and Operations Research at the University of Granada for the past two years (Kai Lai Chung and Marcel F Neuts, among others). All the papers have been carefully selected and revised.

Author : Tadashi Dohi,Shunji Osaki,Katsushige Sawaki
Publisher : World Scientific
Page : 325 pages
File Size : 54,9 Mb
Release : 2007
Category : Business & Economics
ISBN : 9789812706683

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Recent Advances in Stochastic Operations Research by Tadashi Dohi,Shunji Osaki,Katsushige Sawaki Pdf

Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in operations research are optimization and uncertainty. This volume consists of a collection of peer reviewed papers from the International Workshop on Recent Advances in Stochastic Operations Research (RASOR 2005), August 25OCo26, 2005, Canmore, Alberta, Canada. In particular, the book focusses on models in stochastic operations research, including queueing models, inventory models, financial engineering models, reliability models, and simulations models."

Author : Yannis Dimotikalis,Alex Karagrigoriou,Christina Parpoula,Christos H. Skiadas
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 47,9 Mb
Release : 2021-03-26
Category : Business & Economics
ISBN : 9781119821632

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Applied Modeling Techniques and Data Analysis 2 by Yannis Dimotikalis,Alex Karagrigoriou,Christina Parpoula,Christos H. Skiadas Pdf

BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 2 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

Author : Albert N. Shiryaev,Konstantin E. Samouylov,Dmitry V. Kozyrev
Publisher : Springer Nature
Page : 370 pages
File Size : 43,5 Mb
Release : 2021-08-02
Category : Mathematics
ISBN : 9783030832667

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Recent Developments in Stochastic Methods and Applications by Albert N. Shiryaev,Konstantin E. Samouylov,Dmitry V. Kozyrev Pdf

Highlighting the latest advances in stochastic analysis and its applications, this volume collects carefully selected and peer-reviewed papers from the 5th International Conference on Stochastic Methods (ICSM-5), held in Moscow, Russia, November 23-27, 2020. The contributions deal with diverse topics such as stochastic analysis, stochastic methods in computer science, analytical modeling, asymptotic methods and limit theorems, Markov processes, martingales, insurance and financial mathematics, queueing theory and stochastic networks, reliability theory, risk analysis, statistical methods and applications, machine learning and data analysis. The 29 articles in this volume are a representative sample of the 87 high-quality papers accepted and presented during the conference. The aim of the ICSM-5 conference is to promote the collaboration of researchers from Russia and all over the world, and to contribute to the development of the field of stochastic analysis and applications of stochastic models.

Author : M.M. Rao
Publisher : CRC Press
Page : 426 pages
File Size : 45,5 Mb
Release : 1997-03-06
Category : Mathematics
ISBN : 0849380782

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Real and Stochastic AnalysisRecent Advances by M.M. Rao Pdf

Real and Stochastic Analysis: Recent Advances presents a carefully edited collection of research articles written by research mathematicians and highlighting advances in RSA. A balanced blend of both theory and applications, this book covers six aspects of stochastic analysis in depth and detail. The first chapters cover the state of the art in tracers analysis, stochastic modeling as it applies to AIDS epidemiology, and the current state of higher order SDEs. Subsequent chapters present a simple approach to Gaussian dichotomy, an overview of harmonizable processes, and stochastic Fubini and Green theorems. Common to all the chapters, the employment of functional analytic methods creates a unified approach. Each chapter includes detailed proofs. Throughout the book, a substantial amount of new material is presented, much of it for the first time. This forward-looking work presents current accounts of important areas of research, evaluates recent advances, and identifies research frontiers and new challenges.

Author : Ansgar Steland,Ewaryst Rafajłowicz,Ostap Okhrin
Publisher : Springer Nature
Page : 450 pages
File Size : 49,8 Mb
Release : 2019-10-15
Category : Mathematics
ISBN : 9783030286651

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Stochastic Models, Statistics and Their Applications by Ansgar Steland,Ewaryst Rafajłowicz,Ostap Okhrin Pdf

This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in e.g. the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 54,6 Mb
Release : 2024-06-02
Category : Electronic
ISBN : 9789814467605

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Recent Development in Stochastic Dynamics and Stochastic Analysis by Anonim Pdf

Author : Andreas Diekmann,Peter Mitter
Publisher : Academic Press
Page : 352 pages
File Size : 54,9 Mb
Release : 2014-05-10
Category : Social Science
ISBN : 9781483266565

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Stochastic Modelling of Social Processes by Andreas Diekmann,Peter Mitter Pdf

Stochastic Modelling of Social Processes provides information pertinent to the development in the field of stochastic modeling and its applications in the social sciences. This book demonstrates that stochastic models can fulfill the goals of explanation and prediction. Organized into nine chapters, this book begins with an overview of stochastic models that fulfill normative, predictive, and structural–analytic roles with the aid of the theory of probability. This text then examines the study of labor market structures using analysis of job and career mobility, which is one of the approaches taken by sociologists in research on the labor market. Other chapters consider the characteristic trends and patterns from data on divorces. This book discusses as well the two approaches of stochastic modeling of social processes, namely competing risk models and semi-Markov processes. The final chapter deals with the practical application of regression models of survival data. This book is a valuable resource for social scientists and statisticians.

Author : Isabella Morlini,Tommaso Minerva,Maurizio Vichi
Publisher : Springer
Page : 268 pages
File Size : 41,5 Mb
Release : 2015-09-04
Category : Mathematics
ISBN : 9783319173771

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Advances in Statistical Models for Data Analysis by Isabella Morlini,Tommaso Minerva,Maurizio Vichi Pdf

This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.

Author : Alex Karagrigoriou,Christina Parpoula,Yannis Dimotikalis,Christos H. Skiadas
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 53,7 Mb
Release : 2021-03-31
Category : Business & Economics
ISBN : 9781119821571

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Applied Modeling Techniques and Data Analysis 1 by Alex Karagrigoriou,Christina Parpoula,Yannis Dimotikalis,Christos H. Skiadas Pdf

BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

Author : Albert N. Shiryaev,Konstantin E. Samouylov,Dmitry V. Kozyrev
Publisher : Unknown
Page : 0 pages
File Size : 47,5 Mb
Release : 2021
Category : Electronic
ISBN : 3030832678

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Recent Developments in Stochastic Methods and Applications by Albert N. Shiryaev,Konstantin E. Samouylov,Dmitry V. Kozyrev Pdf

Highlighting the latest advances in stochastic analysis and its applications, this volume collects carefully selected and peer-reviewed papers from the 5th International Conference on Stochastic Methods (ICSM-5), held in Moscow, Russia, November 23-27, 2020. The contributions deal with diverse topics such as stochastic analysis, stochastic methods in computer science, analytical modeling, asymptotic methods and limit theorems, Markov processes, martingales, insurance and financial mathematics, queueing theory and stochastic networks, reliability theory, risk analysis, statistical methods and applications, machine learning and data analysis. The 29 articles in this volume are a representative sample of the 87 high-quality papers accepted and presented during the conference. The aim of the ICSM-5 conference is to promote the collaboration of researchers from Russia and all over the world, and to contribute to the development of the field of stochastic analysis and applications of stochastic models.