COMPLEX DATA MODELING AND COMPUTATIONALLY INTENSIVE STATISTICAL METHODS FOR ESTIMATION AND PREDICTION
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S.Co. 2013
COMPLEX DATA MODELING AND COMPUTATIONALLY INTENSIVE STATISTICAL METHODS
FOR ESTIMATION AND PREDICTION
Politecnico di Milano
SEPTEMBER 9-11, 2013
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http://mox.polimi.it/sco2013
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CALL FOR PAPER DEADLINES
- ***April 5th, 2013***: abstract submission (max 500 words);
- April 30th, 2013: notification of acceptance;
- June 21st, 2013: short paper submission.
Online submissions at http://mox.polimi.it/sco2013
CONFERENCE
The aim of the S.Co. conferences is to provide a forum for the discussion of new developments and applications of statistical models and
computational methods for complex and high dimensional data. S.Co.2013 follows the S.Co. conferences held in Venice (1999),
Brixen (2001), Treviso (2003), Brixen (2005) and Venice (2007), Milano (2009) and Padova (2011).
As in the previous editions, the conference will consist of invited lectures, organized and contributed sessions and poster presentations.
PLENARY SPEAKERS
- Arnoldo Frigessi, University of Oslo
- Brunero Liseo, Sapienza Università di Roma
- Steve Marron, UNC-Chapel Hill
- Refik O. Soyer, The George Washington University
TOPICS
A non exhaustive list of the subject areas covered in the conference includes:
- Likelihood inference in complex models;
- Bayesian models for high-dimensional complex-structured data;
- Statistical methods in machine learning;
- Time series and space/time modeling;
- Hidden Markov models;
- Risk analysis and reliability;
- Environmental statistics;
- Multilevel models in biostatistics;
- Statistical methods for medical imaging data;
- Statistical methods for health-care evaluations;
- Space-dependent functional data;
- Large p small n problems;
- Regression models with differential regularization;
- Manifold data and data over manifolds;
- Statistical methods for genomic data;
- Design and analysis of complex surveys;
- Efficient emulators of computer experiments.