Complex Models and Computational Methods in Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Complex Models and Computational Methods in Statistics write by Matteo Grigoletto. This book was released on 2013-01-26. Complex Models and Computational Methods in Statistics available in PDF, EPUB and Kindle. 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.
Advances in Complex Data Modeling and Computational Methods in Statistics
Advances in Complex Data Modeling and Computational Methods in Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Complex Data Modeling and Computational Methods in Statistics write by Anna Maria Paganoni. This book was released on 2014-11-04. Advances in Complex Data Modeling and Computational Methods in Statistics available in PDF, EPUB and Kindle. 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
Complex Data Modeling and Computationally Intensive Statistical Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Complex Data Modeling and Computationally Intensive Statistical Methods write by Pietro Mantovan. This book was released on 2011-01-27. Complex Data Modeling and Computationally Intensive Statistical Methods available in PDF, EPUB and Kindle. 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
Complex Data Modeling and Computationally Intensive Statistical Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Complex Data Modeling and Computationally Intensive Statistical Methods write by . This book was released on 2011-08-14. Complex Data Modeling and Computationally Intensive Statistical Methods available in PDF, EPUB and Kindle.
Computational and Statistical Methods for Analysing Big Data with Applications
Computational and Statistical Methods for Analysing Big Data with Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational and Statistical Methods for Analysing Big Data with Applications write by Shen Liu. This book was released on 2015-11-20. Computational and Statistical Methods for Analysing Big Data with Applications available in PDF, EPUB and Kindle. 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
