The Contribution of Young Researchers to Bayesian Statistics
Proceedings of BAYSM2013
Herausgeber: Lanzarone, Ettore, Ieva, Francesca (Eds.)
Vorschau- Plenary lecturers and senior discussants of BAYSM 2013 provide a discussion of recent developments in Bayesian statistics
- Highlights contributions of young researchers to BAYSM 2013 through comprehensive research papers
- Includes suggested research topics and predictions for the future of Bayesian statistics
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- Über dieses Buch
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The first Bayesian Young Statisticians Meeting, BAYSM 2013, has provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and post-docs dealing with Bayesian statistics to connect with the Bayesian community at large, exchange ideas, and network with scholars working in their field. The Workshop, which took place June 5th and 6th 2013 at CNR-IMATI, Milan, has promoted further research in all the fields where Bayesian statistics may be employed under the guidance of renowned plenary lecturers and senior discussants. A selection of the contributions to the meeting and the summary of one of the plenary lectures compose this volume.
- Über die Autor*innen
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Ettore Lanzarone is a Permanent Researcher at the division of Milan of the Institute of Applied Mathematics and Information Technology (IMATI) of the National Research Council of Italy (CNR), Milan, Italy. He is also Adjunct Professor Mathematical Analysis at the Politecnico di Milano, Milan, Italy. He obtained his Ph.D. in Bioengineering in June 2008 at the Politecnico di Milano, and his master degree in Biomedical Engineering cum laude in April 2004 at the Politecnico di Milano. He is member of the European Working Group on Operational Research Applied to Health Services (ORAHS) and of the Italian National Bioengineering Group (GNB). His current research interests include: parameter estimation and stochastic evolution of dynamic systems described by ordinary and partial differential equations; stochastic models for estimating the demand and planning the activities in healthcare structures; modelling and in-vitro studies of the cardiovascular fluid dynamics.
Francesca Ieva is a Postdoctoral Research Fellow at the Modeling and Scientific Computing Lab (MOX), Department of Mathematics, Politecnico di Milano, Milan, Italy. She obtained her Ph.D. in Mathematical Models and Methods for Engineering and her master degree in Mathematical Engineering at the Politecnico di Milano in 2012 and 2008, respectively. She is member of ISBA (and Program Chair of the junior section), RSS, SIS (and Chair of the young section) and SIAM. Her research activities include Statistical Learning in Biomedical context, focused on modelling data arising from integration of clinical surveys and administrative databanks, Clinical Biostatistics, Healthcare assessment, Mixed Effects Models and Semi-parametric Bayesian hierarchical models, Depth Measures and Multivariate Functional Data Analysis for applications to ECG signals, Multi State Models for the analysis of chronic diseases progression like heart failures.
- Inhaltsverzeichnis (39 Kapitel)
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A Nonparametric Model for Stationary Time Series
Seiten 3-6
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Estimation of Optimally Combined-Biomarker Accuracy in the Absence of a Gold Standard Reference Test
Seiten 7-10
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On Bayesian Transformation Selection: Problem Formulation and Preliminary Results
Seiten 11-14
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A Simple Proof for the Multinomial Version of the Representation Theorem
Seiten 15-18
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A Sequential Monte Carlo Framework for Adaptive Bayesian Model Discrimination Designs Using Mutual Information
Seiten 19-22
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Inhaltsverzeichnis (39 Kapitel)
- Download Vorwort 1 PDF (38.9 KB)
- Download Probeseiten 1 PDF (106.6 KB)
- Download Inhaltsverzeichnis PDF (56 KB)
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Bibliografische Information
- Bibliographic Information
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- Buchtitel
- The Contribution of Young Researchers to Bayesian Statistics
- Buchuntertitel
- Proceedings of BAYSM2013
- Herausgeber
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- Ettore Lanzarone
- Francesca Ieva
- Titel der Buchreihe
- Springer Proceedings in Mathematics & Statistics
- Buchreihen Band
- 63
- Copyright
- 2014
- Verlag
- Springer International Publishing
- Copyright Inhaber
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-02084-6
- DOI
- 10.1007/978-3-319-02084-6
- Hardcover ISBN
- 978-3-319-02083-9
- Softcover ISBN
- 978-3-319-34307-5
- Buchreihen ISSN
- 2194-1009
- Auflage
- 1
- Seitenzahl
- X, 214
- Anzahl der Bilder
- 10 schwarz-weiß Abbildungen, 21 Abbildungen in Farbe
- Themen
