Results 51 to 60 of about 674 (121)

Hybrid models of sparse and robust regression to solve heterogeneity problem in black pepper big data. [PDF]

Sci Rep
Kumar PR, Ibidoja OJ, Ali MKM, Ishak WRW.   +3 more
europepmc   +1 more source

Some Statistical Properties of Spectral Regression Estimators

, 2019
In this thesis we explore different Spectral Regression Estimators in order to solve the prob- lem in regression where we have multiple columns that are linearly dependent: We explore two scenarios • Scenario 1: p \u3c\u3c n where there exists at least ...
Hassan, Nawal
core  

A network-guided penalized regression with application to proteomics data. [PDF]

Bioinform Adv
Ahn S, Oh EJ.
europepmc   +1 more source

On the Practice of Rescaling Covariates

Whether doing parametric or nonparametric regression with shrinkage, thresholding, penalized likelihood, Bayesian posterior estimators (e.g., "ridge regression, lasso, principal component regression, waveshrink" or "Markov random field"), it is common ...
Sylvain Sardy
core   +1 more source

Bayesian variable selection for genome-wide association study of grain traits in rice. [PDF]

PLoS One
Basu R, Mukhopadhyay S, Adhikari K.
europepmc   +1 more source

Correlation adjusted penalization in regression analysis

, 2012
The PhD thesis introduces two new types of correlation adjusted penalization methods to address the issue of multicollinearity in regression analysis. The main purpose is to achieve simultaneous shrinkage of parameter estimators and variable selection ...
Tan, Qi Er
core  

Efficient Post-Shrinkage Estimation Strategies in High-Dimensional Cox's Proportional Hazards Models. [PDF]

Entropy (Basel)
Ahmed SE, Arabi Belaghi R, Hussein AA.
europepmc   +1 more source

Benchmarking Sparse Variable Selection Methods for Genomic Data Analyses. [PDF]

Stat Med
Kollipara HSS, Maiti T, Chakraborty S, Sinha S.   +3 more
europepmc   +1 more source

MMGS: a novel genomic prediction framework to integrate genotype, environment and their interactions for multi-environment breeding trials. [PDF]

Hortic Res
Zhu M, Zheng Z, Liu W, Han Y, Mou W, Yin T, Dai X, Wu H, Yang Y, Zan Y, Liu J.   +10 more
europepmc   +1 more source

Scalable geometric learning with correlation-based functional brain networks. [PDF]

Sci Rep
You K, Lee Y, Park HJ.
europepmc   +1 more source