Publication date
July 2009
DOI Publisher
Elsevier BV ISSN
0378-3758 Citation count (estimate)
28Abstract
10.1016/j.jspi.2008.10.009Journal of Statistical Planning and Inference13972138-2146JSPI
10.1016/j.jspi.2008.10.009Journal of Statistical Planning and Inference13972138-2146JSPI
<p>The selection of suitable terms in random coefficient regression models is a challenging problem ...
We propose a novel varying coefficient model (VCM), called principal varying coefficient model (PVCM...
7 pages, 1 article*Methods of Parameter Selection in Exploratory Model Analyses* (Federer, Walter T....
Varying coefficient models are useful extensions of classical linear models. In practice, some of th...
Model selection methods provide a way to select one model among a set of models in a statistically v...
Varying coefficient models are useful extensions of classical lin- ear models. In practice, some of ...
A novel algorithm to simultaneously select and estimate the Single-Index Varying Coefficient models
The Global COE Program Math-for-Industry Education & Research HubグローバルCOEプログラム「マス･フォア･インダストリ教育研究拠点」V...
The varying coefficient model is a useful extension of the linear regression model. Nevertheless, ho...
The problem of statistical model selection in econometrics and statistics is reviewed. Model selecti...
Variable selection methods and model selection approaches are valuable statistical tools, which are ...
Nonparametric varying-coefficient models are commonly used for analyzing data measured repeatedly ov...
This paper proposes a new approach for model selection and applies it to a classical time series mod...
In this paper, we focus on the variable selection for semiparametric varying coefficient partially l...
AbstractThis paper focuses on the variable selections for semiparametric varying coefficient partial...
<p>The selection of suitable terms in random coefficient regression models is a challenging problem ...
We propose a novel varying coefficient model (VCM), called principal varying coefficient model (PVCM...
7 pages, 1 article*Methods of Parameter Selection in Exploratory Model Analyses* (Federer, Walter T....
Varying coefficient models are useful extensions of classical linear models. In practice, some of th...
Model selection methods provide a way to select one model among a set of models in a statistically v...
Varying coefficient models are useful extensions of classical lin- ear models. In practice, some of ...
A novel algorithm to simultaneously select and estimate the Single-Index Varying Coefficient models
The Global COE Program Math-for-Industry Education & Research HubグローバルCOEプログラム「マス･フォア･インダストリ教育研究拠点」V...
The varying coefficient model is a useful extension of the linear regression model. Nevertheless, ho...
The problem of statistical model selection in econometrics and statistics is reviewed. Model selecti...
Variable selection methods and model selection approaches are valuable statistical tools, which are ...
Nonparametric varying-coefficient models are commonly used for analyzing data measured repeatedly ov...
This paper proposes a new approach for model selection and applies it to a classical time series mod...
In this paper, we focus on the variable selection for semiparametric varying coefficient partially l...
AbstractThis paper focuses on the variable selections for semiparametric varying coefficient partial...
<p>The selection of suitable terms in random coefficient regression models is a challenging problem ...
We propose a novel varying coefficient model (VCM), called principal varying coefficient model (PVCM...
7 pages, 1 article*Methods of Parameter Selection in Exploratory Model Analyses* (Federer, Walter T....
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