This article includes a list of references, related reading, or external links, but its sources remain unclear because it lacks inline citations. Please help improve this article by introducing more precise citations.(November 2010) (Learn how and when to remove this message)
In statistics, projection pursuit regression (PPR) is a statistical model developed by Jerome H. Friedman and Werner Stuetzle that extends additive models. This model adapts the additive models in that it first projects the data matrix of explanatory variables in the optimal direction before applying smoothing functions to these explanatory variables.
and 27 Related for: Projection pursuit regression information
In statistics, projectionpursuitregression (PPR) is a statistical model developed by Jerome H. Friedman and Werner Stuetzle that extends additive models...
Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression; instead of finding...
Psychological projection is a defence mechanism of alterity concerning "inside" content mistaken to be coming from the "outside" Other. It forms the basis...
function Progressively measurable process Prognostics ProjectionpursuitProjectionpursuitregression Proof of Stein's example Propagation of uncertainty...
Matching pursuit (MP) is a sparse approximation algorithm which finds the "best matching" projections of multidimensional data onto the span of an over-complete...
works of her father, Sigmund Freud: repression, regression, reaction formation, isolation, undoing, projection, introjection, turning against one's own person...
is essentially a multivariate, parallel version of projectionpursuit. Whereas projectionpursuit extracts a series of signals one at a time from a set...
Targeted projectionpursuit Heat map Bar chart Horizon graph Glyph-based visualization methods such as PhenoPlot and Chernoff faces Projection methods...
principal components and then run the regression against them, a method called principal component regression. Dimensionality reduction may also be appropriate...
easier alternative to linear regression. In 1974, he developed, with Jerome H. Friedman, the concept of the projectionpursuit. John Tukey contributed greatly...
Minimization (FAM), Iteratively Reweighted Least Squares (IRLS ) or alternating projections (AP). The 2014 guaranteed algorithm for the robust PCA problem (with...
penalizes the regression coefficients with an L1 penalty, shrinking many of them to zero. Any features which have non-zero regression coefficients are...
1080/00031305.2016.1277159. S2CID 55075085. Friedman, J. (1987). "Exploratory ProjectionPursuit" (PDF). Journal of the American Statistical Association. 82 (397):...
of projection as a defense mechanism has been confirmed in paranoia, as well as "the patient's vulnerability to malignant narcissistic regression". Because...
276. doi:10.1511/2009.79.276. S2CID 349102. Tibshirani, Robert (1996). "Regression shrinkage and selection via the lasso". Journal of the Royal Statistical...
geometrically similar to the holotype specimen. By using multivariate regression equations, these authors also suggested an alternative weight of 6.5 t...
limit of this iterative projection converges to the optimal primal dual pair.[citation needed] In the case of a basis pursuit-type problem min x : A x...
transferred to a sparse space, different recovery algorithms like basis pursuit, CoSaMP or fast non-iterative algorithms can be used to recover the signal...
past-life regressions as a therapeutic method, calling it unethical. Additionally, the hypnotic methodology that underpins past-life regression has been...
exposure concentrations were used. Results from multivariate logistic regression analysis suggest that current smokers tended to be less sensitive to the...
Global Information