Statistical Modeling And Analysis For Complex Data Problems


Statistical Modeling And Analysis For Complex Data Problems
DOWNLOAD eBooks

Download Statistical Modeling And Analysis For Complex Data Problems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Statistical Modeling And Analysis For Complex Data Problems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





Statistical Modeling And Analysis For Complex Data Problems


Statistical Modeling And Analysis For Complex Data Problems
DOWNLOAD eBooks

Author : Pierre Duchesne
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-05

Statistical Modeling And Analysis For Complex Data Problems written by Pierre Duchesne and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-05 with Mathematics categories.


This book reviews some of today’s more complex problems, and reflects some of the important research directions in the field. Twenty-nine authors – largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.



Statistical Modeling And Analysis For Complex Data Problems


Statistical Modeling And Analysis For Complex Data Problems
DOWNLOAD eBooks

Author : Pierre Duchesne
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-04-12

Statistical Modeling And Analysis For Complex Data Problems written by Pierre Duchesne and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-12 with Business & Economics categories.


STATISTICAL MODELING AND ANALYSIS FOR COMPLEX DATA PROBLEMS treats some of today’s more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors—largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes—present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains. Some of the areas and topics examined in the volume are: an analysis of complex survey data, the 2000 American presidential election in Florida, data mining, estimation of uncertainty for machine learning algorithms, interacting stochastic processes, dependent data & copulas, Bayesian analysis of hazard rates, re-sampling methods in a periodic replacement problem, statistical testing in genetics and for dependent data, statistical analysis of time series analysis, theoretical and applied stochastic processes, and an efficient non linear filtering algorithm for the position detection of multiple targets. The book examines the methods and problems from a modeling perspective and surveys the state of current research on each topic and provides direction for further research exploration of the area.



Advances In Complex Data Modeling And Computational Methods In Statistics


Advances In Complex Data Modeling And Computational Methods In Statistics
DOWNLOAD eBooks

Author : Anna Maria Paganoni
language : en
Publisher: Springer
Release Date : 2014-11-04

Advances In Complex Data Modeling And Computational Methods In Statistics written by Anna Maria Paganoni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-04 with Mathematics categories.


The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.



Complex Models And Computational Methods In Statistics


Complex Models And Computational Methods In Statistics
DOWNLOAD eBooks

Author : Matteo Grigoletto
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-26

Complex Models And Computational Methods In Statistics written by Matteo Grigoletto and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-26 with Mathematics categories.


The use of computational methods in statistics to face complex problems and highly dimensional data, as well as the widespread availability of computer technology, is no news. The range of applications, instead, is unprecedented. As often occurs, new and complex data types require new strategies, demanding for the development of novel statistical methods and suggesting stimulating mathematical problems. This book is addressed to researchers working at the forefront of the statistical analysis of complex systems and using computationally intensive statistical methods.



Complex Data Modeling And Computationally Intensive Statistical Methods


Complex Data Modeling And Computationally Intensive Statistical Methods
DOWNLOAD eBooks

Author : Pietro Mantovan
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-27

Complex Data Modeling And Computationally Intensive Statistical Methods written by Pietro Mantovan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-27 with Computers categories.


Selected from the conference "S.Co.2009: Complex Data Modeling and Computationally Intensive Methods for Estimation and Prediction," these 20 papers cover the latest in statistical methods and computational techniques for complex and high dimensional datasets.



Mathematics Of Decision Making


Mathematics Of Decision Making
DOWNLOAD eBooks

Author :
language : en
Publisher: Springer
Release Date : 2005-11-30

Mathematics Of Decision Making written by and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-30 with Business & Economics categories.


In 2005, GERAD celebrates its 25th anniversary with these ten volumes covering most of the Center's research areas of expertise: Essays and Surveys in Global Optimization, edited by C. Audet, P. Hansen and G. Savard; Graph Theory and Combinatorial Optimization, edited by D. Avis, A. Hertz and O. Marcotte; Numerical Methods in Finance, edited by H. Ben-Ameur and M. Breton; Analysis, Control and Optimization of Complex Dynamic Systems, edited by E.K. Boukas and R. Malhamé; Column Generation, edited by G. Desaulniers, J. Desrosiers and M.M. Solomon; Statistical Modeling and Analysis for Complex Data Problems, edited by P. Duchesne and B. Rémillard; Performance Evaluation and Planning Methods for the Next Generation Internet, edited by A. Girard, B. Sansò, and F. Vásquez-Abad; Dynamic Games: Theory and Applications, edited by A. Haurie and G. Zaccour; Logistics Systems: Design and Optimization, edited by A. Langevin and D. Riopel; Energy and Environment, edited by R. Loulou, J.-P. Waaub and G. Zaccour.



Statistical Learning Of Complex Data


Statistical Learning Of Complex Data
DOWNLOAD eBooks

Author : Francesca Greselin
language : en
Publisher: Springer Nature
Release Date : 2019-09-06

Statistical Learning Of Complex Data written by Francesca Greselin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-06 with Mathematics categories.


This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks. It covers both methodological aspects as well as applications to a wide range of fields such as economics, architecture, medicine, data management, consumer behavior and the gender gap. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field of data analysis and classification. It gathers selected and peer-reviewed contributions presented at the 11th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2017), held in Milan, Italy, on September 13–15, 2017.



Analysis And Modeling Of Complex Data In Behavioral And Social Sciences


Analysis And Modeling Of Complex Data In Behavioral And Social Sciences
DOWNLOAD eBooks

Author : Donatella Vicari
language : en
Publisher: Springer
Release Date : 2014-07-05

Analysis And Modeling Of Complex Data In Behavioral And Social Sciences written by Donatella Vicari and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-05 with Mathematics categories.


This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems. The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.



Complex Data Modeling And Computationally Intensive Statistical Methods


Complex Data Modeling And Computationally Intensive Statistical Methods
DOWNLOAD eBooks

Author :
language : en
Publisher:
Release Date : 2011-08-14

Complex Data Modeling And Computationally Intensive Statistical Methods written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-14 with categories.




Statistical Modeling For Biomedical Researchers


Statistical Modeling For Biomedical Researchers
DOWNLOAD eBooks

Author : William D. Dupont
language : en
Publisher: Cambridge University Press
Release Date : 2009-02-12

Statistical Modeling For Biomedical Researchers written by William D. Dupont and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-12 with Medical categories.


A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.