Results 1 to 10 of about 3,771,662 (139)

Gibbs Variable Selection Using BUGS [PDF]

Journal of Statistical Software, 2002
In this paper we discuss and present in detail the implementation of Gibbs variable selection as defined by Dellaportas et al. (2000, 2002) using the BUGS software (Spiegelhalter et al. , 1996a,b,c).
Ioannis Ntzoufras
doaj   +4 more sources

Systematic Review of Variable Selection Bias in Species Distribution Models for Aedes vexans (Diptera: Culicidae) [PDF]

Insects
We conducted a systematic literature review, following PRISMA guidelines, to assess whether existing species distribution models for Aedes vexans reflect its known ecological requirements.
Peter Pothmann, Helge Kampen, Doreen Werner, Hans-Hermann Thulke   +3 more
doaj   +2 more sources

Variable selection methods for descriptive modeling [PDF]

PLoS ONE
A. D. V. Tharkeshi T. Dharmaratne, Alysha De Livera, Stelios Georgiou, Stella Stylianou   +3 more
doaj   +2 more sources

Variable selection for decentralized control [PDF]

Modeling, Identification and Control, 1992
Decentralized controllers (single-loop controllers applied to multivariable plants) are often preferred in practice because they are robust and relatively simple to understand and to change. The design of such a control system starts with pairing inputs (
Sigurd Skogestad, Manfred Morari
doaj   +1 more source

Variable Selection of Lasso and Large Model

IEEE Access, 2023
In order to clarify the variable selection of Lasso, Lasso is compared with two other variable selection methods AIC and forward stagewise. First, the variable selection of Lasso was compared with that of AIC, and it was discovered that Lasso has a wider
Huiyi Xia
doaj   +1 more source

Variable Selection for Spatial Logistic Autoregressive Models

Mathematics, 2022
When the spatial response variables are discrete, the spatial logistic autoregressive model adds an additional network structure to the ordinary logistic regression model to improve the classification accuracy. With the emergence of high-dimensional data
Jiaxuan Liang, Yi Cheng, Yuqi Su, Shuyue Xiao, Yunquan Song   +4 more
doaj   +1 more source

Variable selection using MM algorithms [PDF]

, 2005
Variable selection is fundamental to high-dimensional statistical modeling. Many variable selection techniques may be implemented by maximum penalized likelihood using various penalty functions.
Hunter, David R., Li, Runze
core   +3 more sources

Performance of variable selection methods using stability-based selection

BMC Research Notes, 2017
Background Variable selection is frequently carried out during the analysis of many types of high-dimensional data, including those in metabolomics. This study compared the predictive performance of four variable selection methods using stability-based ...
Danny Lu, Aalim Weljie, Alexander R. de Leon, Yarrow McConnell, Oliver F. Bathe, Karen Kopciuk   +5 more
doaj   +1 more source

Structured variable selection and estimation [PDF]

, 2009
In linear regression problems with related predictors, it is desirable to do variable selection and estimation by maintaining the hierarchical or structural relationships among predictors.
Joseph, V. Roshan, Yuan, Ming, Zou, Hui
core   +1 more source

Latent class analysis variable selection [PDF]

, 2009
We propose a method for selecting variables in latent class analysis, which is the most common model-based clustering method for discrete data. The method assesses a variable's usefulness for clustering by comparing two models, given the clustering ...
A.E. Raftery, A.L. McCutcheon, Adrian E. Raftery, C. Fraley, C. Keribin, C.C. Clogg, C.C. Clogg, D. Rusakov, G. Galimberti, G.J. McLachlan, J.A. Hagenaars, J.H. Gennari, L. Hubert, L.A. Goodman, Nema Dean, P.F. Lazarsfeld, R. Detrano, R.E. Kass, The International HapMap Consortium, W.M. Rand   +19 more
core   +4 more sources