Overview
- Outlines novel contributions on the statistical modeling of recent multimodality imaging data from Neuroscience
- Includes a contribution by experts on Statistics for Neuroscience, discussing new and relevant research directions
- Provides findings and new research questions to stimulate future promising research in Neural Data Science
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 257)
Included in the following conference series:
Conference proceedings info: START UP RESEARCH 2017.
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Table of contents (8 papers)
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Studies in Neural Data Science
Reviews
“This book and provides an outlook over trends and new research directions in the analyses of brain imaging data. An excellent book! Congratulations for the way research has been done!” (Claudia Simionescu-Badea, zbMATH 1415.92006, 2019)
Editors and Affiliations
About the editors
Antonio Canale is an Assistant Professor of Statistics at the Department of Statistical Sciences, University of Padova (Italy). His research covers Bayesian non-parametric methods, functional data analysis, statistical learning and data mining. He is the author of a number of papers on methodological and applied statistics, and has served on the scientific committees of national and international conferences. He was the coordinator of the young group of the Italian Statistical Society (y-SIS) in 2015.
Daniele Durante is an Assistant Professor of Statistics at the Department of Decision Sciences, Bocconi University (Italy), and a Research Affiliate at the Bocconi Institute for Data Science. His research is characterized by an interdisciplinary approach at the intersection of Bayesian methods, modern applications, and statistical learning to develop flexible and computationally tractable models for complex data. He is the coordinator of the young groupof the Italian Statistical Society (y-SIS).
Lucia Paci is an Assistant Professor of Statistics at the Department of Statistical Sciences, Università Cattolica del Sacro Cuore, Milan (Italy). Her research focuses mainly on spatial and spatiotemporal modeling under the Bayesian framework, with applications in the environmental and economic sciences. She was the coordinator of the young group of the Italian Statistical Society (y-SIS) in 2016.
Bruno Scarpa is an Associate Professor of Statistics at the Department of Statistical Sciences, University of Padova (Italy). He teaches data mining at the master level and statistical methods for big data at the undergraduate level. His research interests include methodological developments motivated by real data applications. He is the author or coauthor of numerous papers and books in the fields of methodological and applied statistics and data mining.
Bibliographic Information
Book Title: Studies in Neural Data Science
Book Subtitle: StartUp Research 2017, Siena, Italy, June 25–27
Editors: Antonio Canale, Daniele Durante, Lucia Paci, Bruno Scarpa
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-030-00039-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-030-00038-7Published: 29 December 2018
eBook ISBN: 978-3-030-00039-4Published: 28 December 2018
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XI, 156
Number of Illustrations: 36 b/w illustrations, 26 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Neurosciences, Biostatistics