
SemiPar
 Referenced in 726 articles
[sw07116]
 linear mixed model or its generalized counterpart. This book is very much problemdriven. Examples ... from their collaborative research have driven the selection of material and emphases and are used ... have a good working knowledge of linear models and the desire to begin using more...

SimpleMKL
 Referenced in 67 articles
[sw12290]
 applied beyond binary classification, for problems like regression, clustering (oneclass classification) or multiclass classification ... wavelet kernels and on some model selection problems related to multiclass classification problems...

sparsenet
 Referenced in 89 articles
[sw19133]
 penalties. We address the problem of sparse selection in linear models. A number of nonconvex...

DIMACS
 Referenced in 571 articles
[sw08221]
 case analysis is overly pessimistic and probabilistic models are too unrealistic: experimentation can provide guides ... brings algorithmic questions closer to the original problems that motivated theoretical work. It also tests ... provides an opportunity to develop and test problem instances, instance generators, and other methods ... DIMACS book series; these contain selected papers from the workshops that culminate each challenge...

CAPUSHE
 Referenced in 55 articles
[sw13365]
 implementation. Model selection is a general paradigm which includes many statistical problems...

Proc Traj
 Referenced in 13 articles
[sw11097]
 information criterion to address the problem of model selection, including the estimation of the number...

MixMoGenD
 Referenced in 6 articles
[sw08624]
 loci is seen as a model selection problem. The competing models are compared using penalized ... associated algorithm named mixture model for genotype data (MixMoGenD) has been implemented using C++ programming ... avoid an exhaustive search of the optimum model, we propose a modified BackwardStepwise algorithm ... enables a better search of the optimum model among all possible cardinalities...

huge
 Referenced in 44 articles
[sw08466]
 dependent model selection, data generation and graph visualization; (4) a minor convergence problem...

gss
 Referenced in 293 articles
[sw06099]
 suitable for both univariate and multivariate problems. In this book, the author presents a comprehensive ... multivariate models with builtin ANOVA decompositions. Extensive discussions are devoted to model construction, smoothing ... parameter selection, computation, and asymptotic convergence. Most of the computational and data analytical tools discussed...

BartPy
 Referenced in 83 articles
[sw40584]
 also be used for modelfree variable selection. BART’s many features are illustrated with ... experiment and on a drug discovery classification problem...

LogitBoost
 Referenced in 18 articles
[sw08543]
 longstanding problem for the past decade applied model selection criteria to estimate the stopping iteration ... detection method on the values of model selection criteria during the training stage. This method ... also extended to twoclass classification problems which are very common in medical and bioinformatics...

BayesTree
 Referenced in 64 articles
[sw07995]
 also be used for modelfree variable selection. BART’s many features are illustrated with ... experiment and on a drug discovery classification problem...

MDL4BMF
 Referenced in 7 articles
[sw28420]
 This, however, requires solving the “model order selection problem” of determining the proper rank ... method for selecting the correct model order for BMF has been available. In this article ... principle for this task. Besides solving the problem, this wellfounded approach has numerous benefits...

qtlbim
 Referenced in 7 articles
[sw17320]
 commonly viewed as a problem of model selection. Various model selection criteria have been proposed...

sampleSelection
 Referenced in 13 articles
[sw08258]
 type sample selection models in R. We discuss the sample selection problem as well ... semiparametric estimation methods in its toolbox, Heckman models are an integral part of the modern...

EBayesThresh
 Referenced in 127 articles
[sw11104]
 possibly sparse sequence” and ”Empirical Bayes selection of wavelet thresholds” by Iain M. Johnstone ... applicable directly, but should still provide a model for the user to write their ... permission of the authors. Please bring any problems or errors to the author’s attention...

selectiveInference
 Referenced in 21 articles
[sw19124]
 PostSelection Inference. New tools for postselection inference, for use with forward stepwise regression ... many means problem. The lasso function implements Gaussian, logistic and Cox survival models...

PeakSeg
 Referenced in 2 articles
[sw32352]
 count data. Peak detection is a central problem in genomic data analysis, and current algorithms ... PeakSeg, a new constrained maximum likelihood segmentation model for peak detection with an efficient inference ... learning of penalties for the critical model selection problem. We show that the supervised method...

FSDA
 Referenced in 20 articles
[sw11737]
 estimation. To address problems where data deviate from typical model assumptions, tools are available ... robust data transformation and robust model selection. When different views of the data are available ... distances of such units from a fitted model, FSDA links such views and offers ... possibility to interact with them. For example, selections of objects in a plot are highlighted...

CMAES
 Referenced in 120 articles
[sw05063]
 linear or nonconvex continuous optimization problems. They belong to the class of evolutionary algorithms ... variation (via mutation and recombination) and selection: in each generation (iteration) new individuals (candidate solutions ... stochastic way, and then some individuals are selected for the next generation based on their ... matrix amounts to learning a second order model of the underlying objective function similar...