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» Model Selection Through Sparse Maximum Likelihood Estimation
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BMCBI
2008
186views more  BMCBI 2008»
13 years 7 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
ICASSP
2009
IEEE
14 years 2 months ago
Maximum-likelihood estimation of autoregressive models with conditional independence constraints
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberg...
SAC
2012
ACM
12 years 3 months ago
On a hybrid data cloning method and its application in generalized linear mixed models
Data cloning method is a new computational tool for computing maximum likelihood estimates in complex statistical models such as mixed models. This method is synthesized with inte...
Hossein Baghishani, Håvard Rue, Mohsen Moham...
ICASSP
2011
IEEE
12 years 11 months ago
A combined linear programming-maximum likelihood approach to radial velocity data analysis for extrasolar planet detection
In this paper we introduce a new technique for estimating the parameters of the Keplerian model commonly used in radial velocity data analysis for extrasolar planet detection. The...
Prabhu Babu, Petre Stoica
ICIP
2010
IEEE
13 years 5 months ago
Image modeling and enhancement via structured sparse model selection
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...