New Statistical Developments in Data Science
SIS 2017, Florence, Italy, June 28-30
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Beschreibung
This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to “Data Science”. The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt with here.Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role.
This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to “Data Science”. The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt withhere. Lastly, it will help Statisticians and Data Scientists recognize their counterparts’ fundamental role.
Highlights key statistical methods and recent contributions to data science Shows how Statistics and Data Analysis techniques can support business operations and provide essential information for decision-making Promotes the development of a statistical culture among students and researchers in the Information Age
Autor*in
Alessandra Petrucci
Themen in »New Statistical Developments in Data Science«
Data Science Big Data Data Analysis Knowledge Based Methods Complex Data Analytics Proceedings Machine Learning Information and Computer Science Optimization Pattern Recognition Open Data Relational and Complex Data Structured and no-structured Data Sampling Extraction Data Modeling