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Projection Pursuit Regression
 Journal of the American Statistical Association
, 1981
"... A new method for nonparametric multiple regression is presented. The procedure models the regression surface as a sum of general smooth functions of linear combinations of the predictor variables in an iterative manner. It is more general than standard stepwise and stagewise regression procedures, ..."
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Cited by 550 (6 self)
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A new method for nonparametric multiple regression is presented. The procedure models the regression surface as a sum of general smooth functions of linear combinations of the predictor variables in an iterative manner. It is more general than standard stepwise and stagewise regression procedures
Jump Detection In Regression Surfaces
 Journal of Computational and Graphical Statistics
, 1994
"... We consider the problem of locating the jumps in regression surfaces. A least squares plane is fitted in a neighborhood of a design point in question. The gradient vector of this plane contains both the continuous and jump information of the regression surface at this design point. We try to remove ..."
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Cited by 13 (11 self)
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We consider the problem of locating the jumps in regression surfaces. A least squares plane is fitted in a neighborhood of a design point in question. The gradient vector of this plane contains both the continuous and jump information of the regression surface at this design point. We try to remove
Discontinuity Detection in Regression Surfaces
"... We consider the problem of locating jumps in regression surfaces. A jump detection algorithm is suggested based on local least squares estimation. This method requires O(Nk) computations, where N is the sample size and k is the window width of the neighborhood. This property makes it possible to ha ..."
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We consider the problem of locating jumps in regression surfaces. A jump detection algorithm is suggested based on local least squares estimation. This method requires O(Nk) computations, where N is the sample size and k is the window width of the neighborhood. This property makes it possible
Discontinuous Regression Surfaces Fitting
, 1998
"... We suggest a threestage procedure to recover discontinuous regression surfaces when noisy data are present. In the first stage, jump candidate points are detected using a jump detection criterion. A local principal component line is then fitted through these points in a neighborhood of a design poi ..."
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Cited by 13 (6 self)
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We suggest a threestage procedure to recover discontinuous regression surfaces when noisy data are present. In the first stage, jump candidate points are detected using a jump detection criterion. A local principal component line is then fitted through these points in a neighborhood of a design
Average Regression Surface for Dependent Data
, 2000
"... We study the estimation of the additive components in additive regression models, based on the weighted sample average of regression surface, for stationary ffmixing processes. Explicit expression of this method makes possible a fast computation and allows an asymptotic analysis. The estimation pro ..."
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Cited by 2 (0 self)
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We study the estimation of the additive components in additive regression models, based on the weighted sample average of regression surface, for stationary ffmixing processes. Explicit expression of this method makes possible a fast computation and allows an asymptotic analysis. The estimation
Critical values for cointegration tests
 Eds.), LongRun Economic Relationship: Readings in Cointegration
, 1991
"... This paper provides tables of critical values for some popular tests of cointegration and unit roots. Although these tables are necessarily based on computer simulations, they are much more accurate than those previously available. The results of the simulation experiments are summarized by means of ..."
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Cited by 506 (3 self)
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of response surface regressions in which critical values depend on the sample size. From these regressions, asymptotic critical values can be read off directly, and critical values for any finite sample size can easily be computed with a hand calculator. Added in 2010 version: A new appendix contains
Apoptosis: a Basic Biological Phenomenon with Wideranging Implications in Tissue Kinetics
 Br. J. Cancer
, 1972
"... Summary.The term apoptosis is proposed for a hitherto little recognized mechanism of controlled cell deletion, which appears to play a complementary but opposite role to mitosis in the regulation of animal cell populations. Its morphological features suggest that it is an active, inherently program ..."
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Cited by 641 (6 self)
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number of membranebound, ultrastructurally wellpreserved fragments. In the second stage these apoptotic bodies are shed from epitheliallined surfaces or are taken up by other cells, where they undergo a series of changes resembling in vitro autolysis within phagosomes, and are rapidly degraded
A Nonparametric Procedure to Detect Jumps in Regression Surfaces
 Journal of Computational and Graphical Statistics
, 1998
"... A local smoothing procedure is proposed for detecting jump location curves of regression surfaces. This procedure simpli es the computation of some existing jump detectors in the statistical literature. It also generalizes the Sobel edge detector in the image processing literature such that more ..."
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Cited by 9 (5 self)
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A local smoothing procedure is proposed for detecting jump location curves of regression surfaces. This procedure simpli es the computation of some existing jump detectors in the statistical literature. It also generalizes the Sobel edge detector in the image processing literature
The local piecewisely linear kernel smoothing procedure for fitting jump regression surfaces
 Technometrics
, 2004
"... It is known that a surface fitted by conventional local smoothing procedures is not statistically consistent at the jump locations of the true regression surface. In this paper, a procedure is suggested for modifying conventional local smoothing procedures such that the modified procedures can fit t ..."
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Cited by 7 (4 self)
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It is known that a surface fitted by conventional local smoothing procedures is not statistically consistent at the jump locations of the true regression surface. In this paper, a procedure is suggested for modifying conventional local smoothing procedures such that the modified procedures can fit
Jump detection in regression surfaces using both firstorder and secondorder derivatives
 Journal of Computational and Graphical Statistics
, 2007
"... We consider the problem of detecting jump location curves of regression surfaces. In the literature, most existing methods detect jumps in regression surfaces based on estimation of either the firstorder or the secondorder derivatives of regression surfaces. Methods based on the firstorder deriva ..."
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Cited by 8 (8 self)
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We consider the problem of detecting jump location curves of regression surfaces. In the literature, most existing methods detect jumps in regression surfaces based on estimation of either the firstorder or the secondorder derivatives of regression surfaces. Methods based on the first
Results 1  10
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2,882