Variable Selection in Partially Linear Proportional Hazards Model with Grouped Covariates and a Diverging Number of ParametersIn regression models with a grouping structure among the explanatory variables, variable selection at the group and within group individual variable level is desired to improve model...
A hierarchical regularization method is proposed to simultaneously estimate parameters and select important variables at both the group level and the within-group level. For the situations in which the number of parameters tends to ∞ as the sample size increases, we establish an oracle property and...
NUMBEROFPARAMETERS 1 BYCLIFFORDLAMANDJIANQINGFAN PrincetonUniversity Thegeneralizedvaryingcoefficientpartiallylinearmodelwithagrow- ingnumberofpredictorsarisesinmanycontemporaryscientificendeavor. Inthispaperwesetfootonboththeoreticalandpracticalsidesofprofile likelihoodestimationandinference.Whenthenumberofparameter...
In this paper, we study the robust variable selection and estimation based on rank regression and SCAD penalty function in linear regression models when the number of parameters diverges with the sample size increasing. The proposed method is resistant to heavy-tailed errors or outliers in the resp...
(parameter for inferCNV object: ref_group_names = NULL; parameters for run: cutoff = 0.1, cluster_by_groups = FALSE, denoise = TRUE). Using the denoised outputs, we identified by visual inspection a subgroup of all benign spots that harboured few to no inferred CNVs (...
optimizer = opt_func(model.parameters(), lr) history = []# for recording epoch-wise resultsforepochinrange(epochs):# Training Phaseforbatchintrain_loader: loss = model.training_step(batch) loss.backward() optimizer.step() optimizer.zero_grad()# Validation phaseresult = evaluate(model, val_...
The relationships that control seed production in trees are fundamental to understanding the evolution of forest species and their capacity to recover from increasing losses to drought, fire, and harvest. A synthesis of fecundity data from 714 species wo
With the aid of the singular value decomposition of the centered designed matrix, we reparameterize the ANOVA models with linear constraints for uniqueness into a standard linear regression model without any constraint. We derive the Bayes factors based on mixtures of g-priors and study their ...
Krothapalli: The role of photographic parameters in Laser-Speckle of particle image displacement velocimetry, Exp. Fluids 5, 23–31 (1987) Google Scholar C.D. Meinhart, R.J. Adrian: Measurements of the zero-pressure-gradient turbulent boundary layer using particle image velocimetry, AIAA Paper...
tailored these methods in such a way that they can also be applied in the context of overlapping clustering. Finally, two (cross-) validation based strategies are introduced that were specifically tailored to an ADPROCLUS context. The total number of estimated ADPROCLUS parameters (i.e.,IK...