Clusterwise linear regressionpenalized likelihoodregularized MLcovariate selectionIn clusterwise regression analysis, the goal is to predict a response variable based on a set of explanatory variables, each with cluster-specific effects. In many real-life problems, the number of candidate predictors is ...
(2016). A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data. In BMC proceedings (Vol. 10, No. 7, p. 53). BioMed Central.Papachristou C, Ober C, Abney M. A lasso penalized re- ...
Penalized regression : the bridge versus the lasso. Journal of computational and Graphical Statis- tics,7,109-148.Hoerl, A. E. and Kennar... T Leea,C Park,YJ Yoonc 被引量: 0发表: 0年 The sparsity and bias of the Lasso selection in high-dimensional linear\n regression Meinshausen and...
Penalized Regressions: The BridgeVersus the LassoWenjiang J. FUBridge regression, a special family of penalized regressions of a penalty function..
Generalized linear mixed models (GLMMs), typically used for analyzing correlated data, can also be used for smoothing by considering the knot coefficients from a regression spline as random effects. The resulting models are called semiparametric mixed models (SPMMs). Allowing the random knot coefficie...
In the regression set- ting, let y i be the response for case i, x ij be the value of predictor j for case i, and β j be the regression coefficient corresponding to predictor j. The in- tercept µ is ignored in the lasso penalty, whose strength is determined by the Received ...
对variance-bias tradeoff的分析有一定帮助。LASSO是纯算法的解法，他是LAR（least angle regression）的...
Penalized single-index quantile regression span style=font-family: Times New Roman; font-size: small;/spanThe single-index (SI) regression and single-index quantile (SIQ) estimation聽 methods produc... A Alkenani,K Yu - 《International Journal of Statistics & Probability》 被引量: 39发表: 20...
Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net To install: the released version from CRAN:install.packages("hqreg") the latest version (requiredevtools):install_github("CY-dev/hqreg") ...
For a logit lasso, a logistic regression gives the postselection coefficients; for a probit lasso, a probit regression gives them; and for a Poisson lasso, a Poisson regression gives them. lassocoef also has a sort(coef, coef type) option, which controls the order in which the variables ...