Complex Data Modeling And Computationally Intensive Statistical Methods
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Complex Data Modeling And Computationally Intensive Statistical Methods
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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.
Complex Data Modeling And Computationally Intensive Statistical Methods
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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.
S Co 2009 Sixth Conference Complex Data Modeling And Computationally Intensive Statistical Methods For Estimation And Prediction
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Author :
language : en
Publisher: Maggioli Editore
Release Date : 2009
S Co 2009 Sixth Conference Complex Data Modeling And Computationally Intensive Statistical Methods For Estimation And Prediction written by and has been published by Maggioli Editore this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Business & Economics categories.
Advances In Complex Data Modeling And Computational Methods In Statistics
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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
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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.
Statistical Data Science
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Author : Niall M Adams
language : en
Publisher: World Scientific
Release Date : 2018-04-24
Statistical Data Science written by Niall M Adams and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-24 with Computers categories.
As an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analytic discipline, this book provides insights about commonalities in approach, and differences in emphasis.Featuring chapters from established authors in both disciplines, the book also presents a number of applications and accompanying papers.
Proceedings Of The 5th International Conference On Economic Management And Big Data Application Icembda 2024
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Author : Kun Zhang
language : en
Publisher: Springer Nature
Release Date : 2024-12-29
Proceedings Of The 5th International Conference On Economic Management And Big Data Application Icembda 2024 written by Kun Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Business & Economics categories.
This is an open access book. The 5th International Conference on Economic Management and Big Data Applications (ICEMBDA 2024) is scheduled to be held in Tianjin, China on October 25–27, 2024. The 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024) is an essential forum for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of economic management and big data analytics. Scheduled to be held in an era marked by rapidly evolving digital technologies, ICEMBDA 2024 aims to bridge the gap between big data technologies and their practical implementation in economic management. Background The integration of big data analytics into economic management has revolutionized decision-making processes by enabling more precise, evidence-based strategies that potentially lead to superior outcomes. As big data continues to grow in volume, variety, and velocity, the necessity for its application in economic strategies and policies has never been more critical. ICEMBDA 2024 addresses this urgency, acting as a pivotal platform for academic and industry professionals to synergize knowledge and foster advancements. Conference Themes ICEMBDA 2024 will center around a wide range of themes pertinent to the intersection of economics, management, and big data: Big Data Analytics and Economic Forecasting - Utilizing big data in predictive analytics to forecast economic trends and inform policy making. Data-Driven Decision Making in Business and Economics - Methods and technologies that support data-driven strategies in businesses and economic institutions. Ethics and Privacy in Big Data - Addressing the ethical considerations and privacy concerns arising from extensive big data utilization in economic management. Technological Innovations in Big Data - Exploring advancements in data processing, AI, and machine learning that enhance economic data analysis. Impact of Big Data on Economic Policy and Management - Examining how big data has transformed public and private sector economics, focusing on efficiency, accuracy, and compliance. Case Studies on Big Data Applications in Various Economic Sectors - Success stories and lessons learned from applying big data solutions across different branches of economics.
Statistical Methods And Modeling Of Seismogenesis
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Author : Nikolaos Limnios
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-27
Statistical Methods And Modeling Of Seismogenesis written by Nikolaos Limnios and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-27 with Social Science categories.
The study of earthquakes is a multidisciplinary field, an amalgam of geodynamics, mathematics, engineering and more. The overriding commonality between them all is the presence of natural randomness. Stochastic studies (probability, stochastic processes and statistics) can be of different types, for example, the black box approach (one state), the white box approach (multi-state), the simulation of different aspects, and so on. This book has the advantage of bringing together a group of international authors, known for their earthquake-specific approaches, to cover a wide array of these myriad aspects. A variety of topics are presented, including statistical nonparametric and parametric methods, a multi-state system approach, earthquake simulators, post-seismic activity models, time series Markov models with regression, scaling properties and multifractal approaches, selfcorrecting models, the linked stress release model, Markovian arrival models, Poisson-based detection techniques, change point detection techniques on seismicity models, and, finally, semi-Markov models for earthquake forecasting.
Second Workshop On Enhancement Capacity In Applied Biometrics In East And Southern Africa
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Author :
language : en
Publisher: ILRI (aka ILCA and ILRAD)
Release Date :
Second Workshop On Enhancement Capacity In Applied Biometrics In East And Southern Africa written by and has been published by ILRI (aka ILCA and ILRAD) this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Modelling Parasite Transmission And Control
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Author : Edwin Michael
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-12-31
Modelling Parasite Transmission And Control written by Edwin Michael 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 2010-12-31 with Medical categories.
It is clear that many fascinating problems still remain to be addressed in parasite transmission modelling, from better understanding of transmission processes and natural history of infection to investigating the impact of ecological and spatial scales, climate change, host immunity and social behaviour, parasite-host evolutionary dynamics and parasite community ecology on parasite transmission. This book captures some of the advances made in recent years and provides indications of ways forward for addressing these questions by shedding light on developments in conceptual frameworks and modelling tools as well as the emergence of new data forms for aiding model construction, testing and analysis. Another important advance has been the parallel development of robust computationally-intensive statistical methods to allow model testing and parameterization by aiding the fitting of models to complex data. This is an exciting area of work, which we believe will broaden the scope of mathematical modelling in investigating parasite transmission processes. In particular, we expect this advance will now allow modellers to begin the successful development and analysis of mechanistically-rich models of parasite transmission that will facilitate better integration of the variety of mechanisms increasingly recognized as important in simultaneously affecting transmission, including abiotic processes, trophic and evolutionary interactions, movement in space, and behaviour and even physiology of the individual. We foresee a continuing bright future for using mathematical modelling to clarify parasite transmission dynamics and address problems related to effective parasite control. Ultimately, through this improved application of models to research and management, we expect that parasite control would be an achievable goal bringing benefits to a vast number of our fellow human beings.