Results 51 to 60 of about 99 (82)
Penalized Discriminant Analysis
, 1995 Fisher's linear discriminant analysis (LDA) is a popular data-analytic tool for studying the relationship between a set of predictors and a categorical response. In this paper we describe a penalized version of LDA.
Andreas Buja +2 more
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Multivariate Regression Estimation: Local Polynomial Fitting For Time Series
, 1996 We consider the estimation of the multivariate regression function m (x 1 , . . . , x d ) = E [y (Y d ) | X 1 = x 1 , . . . , X d = x d ], and its partial derivatives, for stationary random processes {Y i , X i } using local higher-order polynomial ...
Elias Masry
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A two-sample test when data are contaminated
In this paper we consider the problem of testing whether two samples of contaminated data arise from the same distribution. Is is assumed that the contaminations are additive noises with known, or estimated moments.
Denys Pommeret
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Functional estimation for Lvy measures of semimartingales with Poissonian jumps
We consider semimartingales with jumps that have finite Lvy measures. The purpose of this article is to estimate integral-type functionals of the Lvy measures from discrete observations.
Shimizu, Yasutaka
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Constrained Smoothing Splines Revisited
, 1997 In some regression settings one would like to combine the flexibility of nonparametric smoothing with some prior knowledge about the regression curve. Such prior knowledge may come from a physical or economic theory, leading to shape constraints such as ...
Berwin A. Turlach
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Minimax Estimation via Wavelets for Indirect Long-Memory Data
, 1997 In this paper we model linear inverse problems with long-range dependence by a fractional Gaussian noise model and study function estimation based on observations from the model. By using two wavelet-vaguelette decompositions, one for the inverse problem
Yazhen Wang
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Strong convergence in nonparametric regression with truncated dependent data
In this paper we derive rates of uniform strong convergence for the kernel estimator of the regression function in a left-truncation model. It is assumed that the lifetime observations with multivariate covariates form a stationary [alpha]-mixing ...
Liang, Han-Ying, Qi, Yongcheng, Li, Deli
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, 1995 ralized cross validation (GCV), provided that matrix decompositions of size n \Theta n can be carried out, where n is the sample size. We review the randomized trace technique and the backfitting algorithm, and remark that they can be combined to solve ...
Zhen Luo, Grace Wahba
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Wavelet Regression For Random Uniform Design
, 1997 The current research on wavelet regression has been mostly focused on equispaced samples. In general nonequispaced samples require different treatment.
Lawrence D. Brown, T. Tony Cai
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On Choosing A Non-Integer Resolution Level When Using Wavelet Methods
, 1997 . In curve estimation using wavelet methods it is common to select the resolution level to be an integer, so as to exploit the computational advantages of the pyramid or cascade algorithm.
Peter Hall +3 more
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