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Advances in Complex Data Modeling and Computational Methods in Statistics

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Release : 2014-11-04
Genre : Mathematics
Kind : eBook
Book Rating : 493/5 ( reviews)

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Book Synopsis Advances in Complex Data Modeling and Computational Methods in Statistics by : Anna Maria Paganoni

Download or read book Advances in Complex Data Modeling and Computational Methods in Statistics written by Anna Maria Paganoni. This book was released on 2014-11-04. Available in PDF, EPUB and Kindle. Book excerpt: 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 Data Modeling and Computationally Intensive Statistical Methods

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Release : 2011-01-27
Genre : Computers
Kind : eBook
Book Rating : 860/5 ( reviews)

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Book Synopsis Complex Data Modeling and Computationally Intensive Statistical Methods by : Pietro Mantovan

Download or read book Complex Data Modeling and Computationally Intensive Statistical Methods written by Pietro Mantovan. This book was released on 2011-01-27. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Complex Data Modeling and Computationally Intensive Statistical Methods

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Release : 2011-08-14
Genre :
Kind : eBook
Book Rating : 926/5 ( reviews)

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Book Synopsis Complex Data Modeling and Computationally Intensive Statistical Methods by :

Download or read book Complex Data Modeling and Computationally Intensive Statistical Methods written by . This book was released on 2011-08-14. Available in PDF, EPUB and Kindle. Book excerpt:

Analysis and Modeling of Complex Data in Behavioral and Social Sciences

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Release : 2014-07-05
Genre : Mathematics
Kind : eBook
Book Rating : 927/5 ( reviews)

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Book Synopsis Analysis and Modeling of Complex Data in Behavioral and Social Sciences by : Donatella Vicari

Download or read book Analysis and Modeling of Complex Data in Behavioral and Social Sciences written by Donatella Vicari. This book was released on 2014-07-05. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational and Statistical Methods for Analysing Big Data with Applications

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Release : 2015-11-20
Genre : Mathematics
Kind : eBook
Book Rating : 519/5 ( reviews)

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Book Synopsis Computational and Statistical Methods for Analysing Big Data with Applications by : Shen Liu

Download or read book Computational and Statistical Methods for Analysing Big Data with Applications written by Shen Liu. This book was released on 2015-11-20. Available in PDF, EPUB and Kindle. Book excerpt: Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data. Advanced computational and statistical methodologies for analysing big data are developed Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable Case studies are discussed to demonstrate the implementation of the developed methods Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation Computing code/programs are provided where appropriate

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