Each Compstat meeting is organised around a number
of topics highlighted. On COMPSTAT'2010 sessions will be organised
reflecting topics of major interest for statistical computing and novel
developing areas.
Each organiser is responsible for his/her session and invites three key
speakers. Papers from these speakers will form a major part of the
proceedings volume. Up to 45 minutes are usually available for
presentation, including invited and open discussions.
The 14 selected areas are those below.
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ABC methods for genetic data
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Algorithms for Robust statistics
>>>
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Brain imaging
>>>
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Computational Econometrics
>>>
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Computer-intensive actuarial methods
>>>
-
Data stream mining
>>>
-
Functional Data Analysis
>>>
-
Kernel methods
>>>
-
Monte Carlo methods in system safety, reliability and risk analysis
>>>
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Optimization heuristics in statistical modelling
>>>
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Spatial statistics / spatial epidemiology
>>>
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ARS Session (Financial) Time Series
>>>
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KDD Session: Topological learning
>>>
-
IFCS Session:
New developments in two or highermode clustering; model based clustering and reduction for high dimensional data
>>>
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