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searching for Ridge regression 73 found (117 total)

alternate case: ridge regression

Gaussian process (5,508 words) [view diff] no match in snippet view article find links to article

In probability theory and statistics, a Gaussian process is a stochastic process (a collection of random variables indexed by time or space), such that
Mark Pagel (740 words) [view diff] exact match in snippet view article find links to article
Washington where he was awarded a PhD in Mathematics in 1980 for work on ridge regression. During the late 1980s, Pagel worked on developing ways to analyse
Spike-triggered average (1,176 words) [view diff] exact match in snippet view article find links to article
variance). A common approach to this problem is ridge regression. The regularized STA, computed using ridge regression, can be written STAridge=Tnsp(XTX+λI)−1XTy
Goodness of fit (1,151 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Regression validation (1,117 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Multinomial probit (701 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Nonparametric regression (670 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Jan Kmenta (1,495 words) [view diff] exact match in snippet view article find links to article
missing observations, estimation of production function parameters, and ridge regression among many others. Much of his published research is focused on econometric
Binary regression (581 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Ordered probit (489 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Nonlinear regression (1,394 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Isotonic regression (1,412 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Non-negative least squares (880 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Least-angle regression (769 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Random effects model (1,116 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Semiparametric regression (1,170 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Iteratively reweighted least squares (834 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Matt McGue (213 words) [view diff] exact match in snippet view article find links to article
Psychology Behavioral genetics Institutions University of Minnesota Thesis Ridge regression: Estimation and Prediction  (1981) Doctoral advisor Thomas J. Bouchard
Ordered logit (933 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Mlpack (407 words) [view diff] case mismatch in snippet view article find links to article
Nearest Neighbor (RANN) Simple Least-Squares Linear Regression (and Ridge Regression) Sparse Coding, Sparse dictionary learning Tree-based Neighbor Search
Mixed model (2,212 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Variance of the mean and predicted responses (1,123 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
General linear model (1,192 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Manifold regularization (3,872 words) [view diff] exact match in snippet view article find links to article
labels, subject to regularization. Ridge regression is one form of RLS; in general, RLS is the same as ridge regression combined with the kernel method.[citation
Linear least squares (5,382 words) [view diff] exact match in snippet view article find links to article
techniques can be applied in such cases, the most common of which is called ridge regression. If further information about the parameters is known, for example
Segmented regression (1,413 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Keith Mitchell (1,096 words) [view diff] exact match in snippet view article find links to article
Retrieved 1 October 2011. Mitchell, Keith Claudius (1980). A study of ridge regression and some examples of its application in multivariate analysis. Washington
Shogun (toolbox) (468 words) [view diff] case mismatch in snippet view article
SGD-QN, Vowpal Wabbit Clustering algorithms: k-means and GMM Kernel Ridge Regression, Support Vector Regression Hidden Markov Models K-Nearest Neighbors
Errors and residuals (2,168 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Binomial regression (2,055 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Mixed logit (1,804 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Multivariate probit model (1,416 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Studentized residual (1,576 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Robust regression (2,642 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Variance inflation factor (1,700 words) [view diff] case mismatch in snippet view article find links to article
Brooks/Cole. p. 615. Marquardt, D. W. (1970). "Generalized Inverses, Ridge Regression, Biased Linear Estimation, and Nonlinear Estimation". Technometrics
Nedret Billor (201 words) [view diff] case mismatch in snippet view article find links to article
University of Sheffield in 1992; her dissertation, Diagnostic Methods in Ridge Regression and Errors-in-variables Model, was supervised by Robert Loynes. She
Analytics (ice hockey) (1,671 words) [view diff] exact match in snippet view article
statistic a high quality of samples. RAPM uses a mathematical model with ridge regression that takes into account raw shot creation, Corsi and xG, and outside
Least absolute deviations (2,150 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Polynomial regression (2,414 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
George Casella (415 words) [view diff] case mismatch in snippet view article find links to article
University Cornell University University of Florida Thesis Minimax Ridge Regression Estimation (1977) Doctoral advisor Leon Jay Gleser Doctoral students
Local regression (2,557 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Generalized least squares (2,833 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Ordinal regression (1,301 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Bayesian multivariate linear regression (2,723 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Partial least squares regression (2,928 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
DeFries–Fulker regression (686 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Regression analysis (5,081 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Total least squares (3,293 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Generalized linear model (4,224 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Simple linear regression (4,719 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Probit model (3,251 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Psathyrostachys juncea (1,283 words) [view diff] case mismatch in snippet view article find links to article
Wang, Xianguo; Zhou, He; Han, Jianguo; Gislum, René (2011). "Path and Ridge Regression Analysis of Seed Yield and Seed Yield Components of Russian Wildrye
Fixed effects model (3,161 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Quantile regression (4,067 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Multilevel regression with poststratification (924 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Non-linear least squares (4,538 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Multinomial logistic regression (5,207 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
HeuristicLab (1,117 words) [view diff] case mismatch in snippet view article find links to article
Classification Support Vector Regression and Classification Elastic-Net Kernel Ridge Regression Decision Tree Regression Barnes-Hut t-SNE User-Defined Algorithm: Allows
Least-squares spectral analysis (3,371 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Nonlinear mixed-effects model (3,671 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Arellano–Bond estimator (2,164 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Multilevel model (4,805 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Errors-in-variables models (5,627 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Working–Hotelling procedure (2,085 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Fay–Herriot model (1,066 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Vector generalized linear model (4,737 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Extreme learning machine (3,660 words) [view diff] exact match in snippet view article find links to article
Steil, Jochen J. (2013). "Optimizing extreme learning machines via ridge regression and batch intrinsic plasticity". Neurocomputing. 102: 23–30. doi:10
Discrete choice (6,266 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
List of mass spectrometry software (3,936 words) [view diff] case mismatch in snippet view article find links to article
L. J. E.; Gevaert, K.; Clement, L. (2016). "Peptide-level Robust Ridge Regression Improves Estimation, Sensitivity, and Specificity in Data-dependent
Polygenic score (6,669 words) [view diff] case mismatch in snippet view article find links to article
S2CID 235732957. de Vlaming R, Groenen PJ (2015). "The Current and Future Use of Ridge Regression for Prediction in Quantitative Genetics". BioMed Research International
Variance function (4,499 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Gary Smith (economist) (3,098 words) [view diff] case mismatch in snippet view article
259-293. Smith, Gary, Campbell, Frank. (1980). “A Critique of Some Ridge Regression Methods,” Journal of the American Statistical Association, with discussion
Kernel embedding of distributions (9,735 words) [view diff] exact match in snippet view article find links to article
the outputs. In other words, one can consider the following kernel ridge regression problem ( λ > 0 ) {\displaystyle (\lambda >0)} J ( f ) = 1 ℓ ∑ i =