Generalized Additive Models with Unknown Link Function Including Variable Selection [PDF]
, 2013 The generalized additive model is a well established and strong tool that allows to model smooth effects of predictors on the response. However, if the link function, which is typically chosen as the canonical link, is misspecified, substantial bias is ...
Gerhard Tutz +3 more
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Bidirectional branch and bound for controlled variable selection. Part III: local average loss minimization [PDF]
, 2010 The selection of controlled variables (CVs) from available measurements through exhaustive search is computationally forbidding for large-scale processes. We have recently proposed novel bidirectional branch and bound (B-3) approaches for CV selection
Kariwala, Vinay, Cao, Yi
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Assessing Variable Importance for Best Subset Selection
EntropyOne of the primary issues that arises in statistical modeling pertains to the assessment of the relative importance of each variable in the model. A variety of techniques have been proposed to quantify variable importance for regression models.
Jacob Seedorff, Joseph E. Cavanaugh
doaj +1 more source
Variable selection for causal inference, prediction, and descriptive research: a narrative review of recommendations. [PDF]
Eur Heart J OpenThere is a growing appreciation that the methods and analyses of medical studies should be tailored towards the type of research question. However, frequent conflation exists with respect to the reasons for statistically adjusting for variables in ...
Dyer BP.
europepmc +2 more sources
Gene selection: a Bayesian variable selection approach [PDF]
Bioinformatics, 2003 Abstract Selection of significant genes via expression patterns is an important problem in microarray experiments. Owing to small sample size and the large number of variables (genes), the selection process can be unstable. This paper proposes a hierarchical Bayesian model for gene (variable) selection.
Kyeong Eun Lee +4 more
openaire +2 more sources
Lineage tree analysis of immunoglobulin variable-region gene mutations in autoimmune diseases: chronic activation, normal selection [PDF]
, 2006 Autoimmune diseases show high diversity in the affected organs, clinical manifestations and disease dynamics. Yet they all share common features, such as the ectopic germinal centers found in many affected tissues.
Neta S. Zuckerman +29 more
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A comparative assessment of variable selection methods in urban water demand forecasting [PDF]
, 2018 Urban water demand is influenced by a variety of factors such as climate change, population growth, socio-economic conditions and policy issues. These variables are often correlated with each other, which may create a problem in building appropriate ...
Rahman, Ataur (R9573) +11 more
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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 ...
Nema Dean +4 more
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Computational Efficiency in Bayesian Model and Variable Selection [PDF]
This paper is concerned with the efficient implementation of Bayesian model averaging (BMA) and Bayesian variable selection, when the number of candidate variables and models is large, and estimation of posterior model probabilities must be based on a ...
Sune Karlsson, Jana Eklund
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Frontiers in Psychology, 2020 Human sound evaluations not only depend on the characteristics of the sound but are also driven by factors related to the listener and the situation. Our research aimed to investigate crucial factors influencing the perception of low-level sounds as they—
Siegbert Versümer +3 more
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