Results 31 to 40 of about 3,364,346 (276)
Sparse Semi-Functional Partial Linear Single-Index Regression
Proceedings, 2018 The variable selection problem is studied in the sparse semi-functional partial linear model, with single-index type influence of the functional covariate in the response. The penalized least squares procedure is employed for this task.
Silvia Novo +2 more
doaj +1 more source
Scaled Sparse Linear Regression
, 2012 Scaled sparse linear regression jointly estimates the regression coefficients and noise level in a linear model. It chooses an equilibrium with a sparse regression method by iteratively estimating the noise level via the mean residual square and scaling ...
Sun, Tingni, Zhang, Cun-Hui
core +1 more source
On the complexity of switching linear regression [PDF]
, 2016 This technical note extends recent results on the computational complexity of globally minimizing the error of piecewise-affine models to the related problem of minimizing the error of switching linear regression models.
Lauer, Fabien
core +4 more sources
Fast Censored Linear Regression [PDF]
Scandinavian Journal of Statistics, 2013 ABSTRACTWeighted log‐rank estimating function has become a standard estimation method for the censored linear regression model, or the accelerated failure time model. Well established statistically, the estimator defined as a consistent root has, however, rather poor computational properties because the estimating function is neither continuous nor, in
openaire +3 more sources
Multiple Linear Regression versus Automatic Linear Modelling
Arquivo Brasileiro de Medicina Veterinária e ZootecniaIn this study, performances of Multiple Linear Regression and Automatic Linear Modelling are compared for different sample sizes and number of predictors. A comprehensive Monte Carlo simulation study was carried out for this purpose.
S. Genç, M. Mendeş
doaj +1 more source
Varying-coefficient functional linear regression [PDF]
, 2010 Functional linear regression analysis aims to model regression relations which include a functional predictor. The analog of the regression parameter vector or matrix in conventional multivariate or multiple-response linear regression models is a ...
Fan, Jianqing +2 more
core +1 more source
Current status linear regression
, 2017 We construct $\sqrt{n}$-consistent and asymptotically normal estimates for the finite dimensional regression parameter in the current status linear regression model, which do not require any smoothing device and are based on maximum likelihood estimates (
Groeneboom, Piet, Hendrickx, Kim
core +1 more source
Truthful Linear Regression [PDF]
, 2015 We consider the problem of fitting a linear model to data held by individuals who are concerned about their privacy. Incentivizing most players to truthfully report their data to the analyst constrains our design to mechanisms that provide a privacy ...
Cummings, Rachel +2 more
core +3 more sources
Investigation of Multi Linear Regression Methods on Estimation of Free Vibration Analysis of Laminated Composite Shallow Shells [PDF]
, 2017 This paper presents regression method's in estimating the free vibration analysis and compared with SDSST method. In this study, the free vibration analysis of the cross-ply laminated composite cylindrical shallow shells has been studied using shear ...
Cansiz, O. F. (Omer) +3 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm +10 more
wiley +1 more source