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CSDA
2006
142views more  CSDA 2006»
13 years 9 months ago
Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
Fitting of non-Gaussian hierarchical random effects models by approximate maximum likelihood can be made automatic to the same extent that Bayesian model fitting can be automated ...
Hans J. Skaug, David A. Fournier
CSDA
2006
116views more  CSDA 2006»
13 years 9 months ago
Bayesian multiscale analysis for time series data
A recently proposed Bayesian multiscale tool for exploratory analysis of time series data is reconsidered and umerous important improvements are suggested. The improvements are in...
Tor Arne Øigård, Håvard Rue, Fr...
CSDA
2006
100views more  CSDA 2006»
13 years 9 months ago
Identification of interaction patterns and classification with applications to microarray data
Emerging patterns represent a class of interaction structures which has been recently proposed as a tool in data mining. In this paper, a new and more general definition refering ...
Anne-Laure Boulesteix, Gerhard Tutz
CSDA
2006
107views more  CSDA 2006»
13 years 9 months ago
Optimal confidence interval for the largest normal mean under heteroscedasticity
A two-stage sampling procedure for obtaining an optimal confidence interval for the largest or smallest mean of k independent normal populations is proposed, where the population ...
Hubert J. Chen, Miin-Jye Wen
CSDA
2006
304views more  CSDA 2006»
13 years 9 months ago
Using principal components for estimating logistic regression with high-dimensional multicollinear data
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...