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CSDA
2007
126views more  CSDA 2007»
15 years 6 months ago
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
Yongqiang Tang, Subhashis Ghosal
CSDA
2007
123views more  CSDA 2007»
15 years 6 months ago
Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table
In two-way contingency tables analysis, a popular class of models for describing the structure of the association between the two categorical variables are the so-called “associ...
G. Iliopoulos, Maria Kateri, Ioannis Ntzoufras
CSDA
2007
88views more  CSDA 2007»
15 years 6 months ago
A study of partial F tests for multiple linear regression models
Partial F tests play a central role in model selections in multiple linear regression models. This paper studies the partial F tests from the view point of simultaneous confidence...
Mortaza Jamshidian, Robert I. Jennrich, Wei Liu
160
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CSDA
2007
102views more  CSDA 2007»
15 years 6 months ago
Smooth functions and local extreme values
Given a sample of n observations y1, . . . , yn at time points t1, . . . , tn we consider the problem of specifying a function ˜f such that ˜f • is smooth, • fits the data ...
A. Kovac
183
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CSDA
2007
114views more  CSDA 2007»
15 years 6 months ago
Relaxed Lasso
The Lasso is an attractive regularisation method for high dimensional regression. It combines variable selection with an efficient computational procedure. However, the rate of co...
Nicolai Meinshausen
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