Results 11 to 20 of about 2,771,485 (258)
Robust Sliced Inverse Regression Procedures [PDF]
, 1998 Sliced Inverse Regression (SIR) is a promising technique for the purpose of dimension reduction. Several properties of this relatively new method have been examined already, but little attention has been paid to robustness aspects. We show that SIR is very sensitive towards outliers in the data. Therefore a generalized estimation procedure which allows
Gather, Ursula +2 more
core +6 more sources
Identification of Meteorological Parameters Affecting Water Consumption in Household Sector of Qom [PDF]
آب و فاضلاب, 2018 Prediction of water consumption and its effective factors is an important step in water crisis management. Studies showed that meteorological parameters are considered as the most important factor for short-term prediction of water consumption.
Ghasem Amini, Zohre Saiedi
doaj +1 more source
An Adaptive-to-Model Test for Parametric Functional Single-Index Model
Mathematics, 2023 Model checking methods based on non-parametric estimation are widely used because of their tractable limiting null distributions and being sensitive to high-frequency oscillation alternative models.
Lili Xia, Tingyu Lai, Zhongzhan Zhang
doaj +1 more source
Online Kernel Sliced Inverse Regression [PDF]
, 2023 Online dimension reduction is a common method for high-dimensional streaming data processing. Online principal component analysis, online sliced inverse regression, online kernel principal component analysis and other methods have been studied in depth ...
Cui, Wenquan +3 more
core +1 more source
A Note on Sliced Inverse Regression with Regularizations [PDF]
Biometrics, 2008 Summary In Li and Yin (2008, Biometrics64, 124–131), a ridge SIR estimator is introduced as the solution of a minimization problem and computed thanks to an alternating least‐squares algorithm. This methodology reveals good performance in practice. In this note, we focus on the theoretical properties of the estimator.
Bernard-Michel, Caroline +2 more
openaire +4 more sources
SNP set association analysis for genome-wide association studies. [PDF]
PLoS ONE, 2013 Genome-wide association study (GWAS) is a promising approach for identifying common genetic variants of the diseases on the basis of millions of single nucleotide polymorphisms (SNPs).
Min Cai +9 more
doaj +1 more source
Protection Scheme of Power Transformer Based on Time–Frequency Analysis and KSIR-SSVM [PDF]
Journal of Artificial Intelligence and Data Mining, 2013 The aim of this paper is to extend a hybrid protection plan for Power Transformer (PT) based on MRA-KSIR-SSVM. This paper offers a new scheme for protection of power transformers to distinguish internal faults from inrush currents.
mehdi hajian, Asghar Akbari Foroud
doaj +1 more source
A Comparative Study of Five Association Tests Based on CpG Set for Epigenome-Wide Association Studies. [PDF]
PLoS ONE, 2016 An epigenome-wide association study (EWAS) is a large-scale study of human disease-associated epigenetic variation, specifically variation in DNA methylation.
Qiuyi Zhang +6 more
doaj +1 more source
Dimension Reduction Regression in R
Journal of Statistical Software, 2002 Regression is the study of the dependence of a response variable y on a collection predictors p collected in x. In dimension reduction regression, we seek to find a few linear combinations β1x,...,βdx, such that all the information about the regression ...
Sanford Weisberg
doaj +1 more source
Heliyon, 2020 Dimension reduction is often a preliminary step in the analysis of data sets with a large number of variables. Most classical, both supervised and unsupervised, dimension reduction methods such as principal component analysis (PCA), independent component
Daniel Fischer +2 more
doaj +1 more source