Complex data modeling and computationally intensive statistical methods

Complex data modeling and computationally intensive statistical methods by Pietro Mantovan Download PDF EPUB FB2

: Complex Data Modeling and Computationally Intensive Statistical Methods (Contributions to Statistics) (): Mantovan, Pietro, Secchi, Piercesare: BooksCited by: Complex Data Modeling and Computationally Intensive Statistical Methods.

Authors: Mantovan, Pietro, Secchi, Piercesare. Free Preview. The book offers a wide variety of statistical methods and is addressed to statisticians working at the forefront of statistical analysis.

Buy this book. eB39 €. Complex Data Modeling and Computationally Intensive Statistical Methods. Part of the Contributions to Statistics book series () The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data, system control datasets.

: Advances in Complex Data Modeling and Computational Methods in Statistics (Contributions to Statistics) (): Paganoni, Anna Maria, Secchi, Piercesare: Books. 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.

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 met Advances in Complex Data Modeling and Computational Methods in Statistics.

Request PDF | Advances in Complex Data Modeling and Computational Methods in Statistics | The book is addressed to statisticians working at the forefront of the statistical analysis of complex and. This volume is the result of a careful selection among the contributions presented at the conference " Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, All the papers published here have been rigorously : Hardcover.

Complex Model for Complex Data via the Bayesian Approach Background. Statistical methods have developed rapidly in the past twenty years.

One driving factor is that more and more complicated high-dimensional data require sophisticated data analysis methods. A noticeably successful case is the machine learning field which is now widely used in. Scagliarini, Gauge imprecision and multivariate process capability analysis, in:Sixth Conference, Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and dings, SANTARCANGELO DI ROMAGNA (RN), Maggioli,pp.

- (atti di:Sixth Conference, Complex Data Modeling and Computationally Intensive Statistical. The basic idea is quite simple – simulate data from one or more plausible models (or for a parametric model, at a range of plausible parameter values), apply the same (or similar) procedure to the simulated datasets as was applied to the original data, and then analyse the Size: KB.

This volume is the result of a careful selection among the contributions presented at the conference " Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, All the papers published here. 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 Brand: Springer International Publishing.

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.

last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data Cited by: SCO – Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction, 9 – 11 September,Milano, Italy Functional Data Analysis and Classification for Profile Monitoring and Fault Diagnosis in Waterjet Machining Processes.

Abstract. 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 Author: Anna Paganoni and Piercesare Secchi.

Complex data modeling and computationally intensive statistical methods The last years have seen the advent and develop-ment of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA micro.

Proceedings of SCo - Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction. ISBN ISBN Argiento, R., Guglielmi, A., Pievatolo, A. () ``A semiparametric Bayesian Mixed-effects Model for Failure Time Data''.

Get this from a library. Complex data modeling and computationally intensive statistical methods. [Pietro Mantovan; Piercesare Secchi;] -- The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners.

Selected from the conference " Complex Data Modeling and Computationally Intensive Methods for Estimation and Prediction," these 20 papers cover the latest in statistical methods .‘Essentials of Statistical Inference is a book worth having.’ Jane L.

Harvill Source: Journal of the American Statistical Association ‘The book is comprehensively written without dwelling in unnecessary details.’ Iris Pigeot Source: BiometricsCited by: Cagnone S.; Bartolucci F., Adaptive quadrature for likelihood inference in dynamic latent variable models, in: Proceedings of Complex Data Modeling and Computationally intensive Statistical Methods for Estimation and Prediction,pp.

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