Online citations, reference lists, and bibliographies.
Please confirm you are human
(Sign Up for free to never see this)
← Back to Search

[A Statistical View Of Some Chemometrics Regression Tools]: Response

I. Frank, J. Friedman
Published 1993 · Mathematics

Save to my Library
Download PDF
Analyze on Scholarcy
Share



This paper is referenced by
10.5705/SS.2012.364
Penalized Q-Learning for Dynamic Treatment Regimens.
Rui Song (2015)
10.1080/03610918.2015.1069346
Robust modal estimation and variable selection for single-index varying-coefficient models
J. Yang (2017)
10.1081/STA-200063266
Characterization of Ridge Trace Behavior
R. Zhang (2005)
Computation of 3 D Implant Coordinates for Prostate Brachytherapy
Y. Gu (1999)
10.1007/BF00877428
Multivariate analysis of aquatic toxicity data with PLS
Lennart Eriksson (2004)
10.1109/CDC.2005.1583483
Dealing with Collinearity in FIR models using Multiscale Estimation
M. Nounou (2005)
10.1214/09-EJS523
Confidence sets based on penalized maximum likelihood estimators in Gaussian regression
Benedikt M. Potscher (2008)
Selection of Copulas for Risk Management ∗
Z. Cai (2009)
Multi-step statistical methods for simultaneous inference in genetics
J. Pečánka (2016)
10.3389/fgene.2016.00032
EM Adaptive LASSO—A Multilocus Modeling Strategy for Detecting SNPs Associated with Zero-inflated Count Phenotypes
Himel Mallick (2016)
10.1080/03610920601036382
Constructive Cross-Validation in Linear Prediction
Dan J. Spitzner (2007)
10.1214/13-AOAS668
BAYESIAN SHRINKAGE METHODS FOR PARTIALLY OBSERVED DATA WITH MANY PREDICTORS.
P. Boonstra (2013)
From Multivariate to Functional Linear Regression
L. Prchal (2005)
An Modified PLSR Method in Prediction
B. Cheng (2006)
An Integrated Approach to Exploit Linkage Disequilibrium for Ultra High Dimensional Genome-wide Data
Michelle Carlsen (2015)
10.1016/j.patrec.2012.01.004
Selection properties of type II maximum likelihood (empirical Bayes) in linear models with individual variance components for predictors
T. Jamil (2012)
10.1002/cbdv.200800111
Quantitative Structure–Activity Relationship (QSAR) Modeling of Human Blood : Air Partitioning with Proper Statistical Methods and Validation
S. Basak (2009)
10.1080/01621459.2015.1092974
Conditional Sure Independence Screening
Emre Barut (2016)
10.1016/J.SPL.2014.04.013
Robust variable selection for nonlinear models with diverging number of parameters
Z. Lv (2014)
10.5539/jmr.v12n2p1
Statistical Inference on Semiparametric Spatial Additive Model
Chuanhua Wei (2020)
Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression
C. Bernard-Michel (2008)
10.1016/J.SPL.2009.07.022
Concentration reversals in ridge regression
D. R. Jensen (2009)
Generalized Elastic Net Regression
V. Nia (2013)
10.1177/0962280216643117
Statistical methods for body mass index: A selective review
Keming Yu (2018)
10.5167/UZH-137364
Sharp convergence rates for forward regression in high-dimensional sparse linear models
Damian Kozbur (2017)
10.1016/j.jmva.2009.03.001
Thresholding projection estimators in functional linear models
H. Cardot (2010)
10.1002/CEM.701
Multivariate calibration stability: a comparison of methods
B. Marx (2002)
10.1016/j.csda.2007.02.006
Support vector machines with adaptive Lq penalty
Yufeng Liu (2007)
10.1016/S0169-7439(03)00029-7
Multivariate calibration with temperature interaction using two-dimensional penalized signal regression
P. Eilers (2003)
Prediction performance of single index principal fitted component models
Jia-Ern Pai (2012)
10.1117/12.590540
Detection of CT occult aneurismal subarachnoid hemorrhage using a novel spectrophotometric analysis of cerebral spinal fluid
Vasant Salgaonkar (2005)
Penalized Logistic Regression in Gene Expression Analysis
M. Schimek (2003)
See more
Semantic Scholar Logo Some data provided by SemanticScholar