Variable Selection
Robust Variable Selection
... a variable selection ...a variable selection procedure in terms of regression coefficients, other issues arise with model ...the variable selection procedure is ...
94
The Adaptive Lasso Method for Instrumental Variable Selection.
... stage selection the conventional TSLS or LIML method is ...correct variable selection (the number of strong instruments is at least equal to the number of endogenous ...the variable ...
93
Variable Selection Methods for Multivariate Process Monitoring
... The selection methodology uses external information to influence the selection ...Various variable selection procedures might be used to select relevant primary ...informative variable ...
5
A Theory of Dichotomous Valuation with Applications to Variable Selection
... 2010; Budina et al., 2015), partly owing to its simplicity and generality. The vast literature also provides us with many variations on the Shapley value (cf Donderer and Samet, 2002; Winter, 2002). Our research here ...
37
VAR forecasting using Bayesian variable selection
... model selection for regression models which can be generalized to VAR ...the variable selection algorithm of George et ...model selection in time-varying ...
34
Tuning variable selection procedures by adding noise
... in variable selection ...a variable selection procedure, both underfitting and overfitting result in biased estimates of the error ...response variable and tune the model ...
29
Controlling Variable Selection By the Addition of Pseudo-Variables
... a variable has a strong effect, then the benefit from bias reduction by introducing it into the model may exceed the increase in prediction ...on variable selection has been devoted to trying to ...
132
Controlling variable selection by the addition of pseudo variables
... compare variable selection methods, ...tune variable selection methods is ...forward selection based on adding additional noise to the response ...
26
Variable selection using least angle regression
... variables selection, common methods are being used are stepwise, forward and backward selection ...Stepwise selection has been proposed as a technique that combines advantages of forward and backward ...
16
Benefitting from the Variables that Variable Selection Discards
... The experiments with the three synthetic problems clearly demonstrate that the benefit from using variables as inputs or as extra outputs is different. The experiments with the two real problems suggest that similar ...
20
Structured Variable Selection with Sparsity-Inducing Norms
... a variable selection technique that therefore needs a second step for estimating the loadings (restricted to the selected nonzero ...this variable selection ...
48
Variable Selection in the Modeling of Nigeria Economic Growth
... response variable. Variable importance for prediction (VIP) is a useful tool in summarizing the contribution of a variable to a ...explanatory variable with High VIP score has greater ...
7
Choice of Priors and Variable Selection in Bayesian Regression
... observed that the convergence to the t- distribution is faster in the parameter beta5, observe the speedy convergence from the 5000 samples to the 15000, this makes it a potential variable for addition in the ...
25
Exploration of Variable Importance and Variable selection techniques in presence of correlated variables
... how variable importance measures in Random forest and SVM can be combined with recursive elimination and compared it with Bayesian Model ...crammed variable importance and variable selection ...
70
Permuted Inclusion Criterion: A Variable Selection Technique
... new variable selection technique called the Permuted Inclusion Criterion (PIC) based on augmenting the predictor space X with a row-permuted version denoted ...stopping. Variable selection ...
118
Variable selection using Random Forests
... the variable importance index based on random forests and to use it to propose a two-steps algorithm for two classical problems of variable selection starting from variable importance ...
11
Variable selection in model-based discriminant analysis
... general variable selection mod- elling proposed in Maugis et ...of variable selection modelling in model-based clustering (Raftery and Dean, 2006; Maugis et ...and variable ...
35
An Information Criterion for Variable Selection in Support Vector Machines
... based selection criteria (CV and GRM) have the worst ...a variable selection method for small sample sizes (n = 25), while the SVMICs give better results for larger sample ...
18
Optimality of Graphlet Screening in High Dimensional Variable Selection
... for the whole phase space. While this overlaps with our Corollaries 10 and 11, we must note that Ji and Jin (2011) deals with the much more difficult cases where r/ϑ can get arbitrary large; and to ensure the success in ...
50
Bayesian Variable Selection with Applications to Neuroimaging Data
... From the figures discussed in the case study, we see that there is an interval of time points where the distinction between the magnitude of the coefficients corresponding to the locations selected is significant. ...
151