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A general method for constructing pseudoGaussian tests
 J. Japan Statist. Soc
, 2008
"... A general method for constructing pseudoGaussian tests—reducing to traditional Gaussian tests under Gaussian densities but remaining valid under nonGaussian ones—is proposed. This method provides a solution to several open problems in classical multivariate analysis. One of them is the test of t ..."
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Cited by 9 (3 self)
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A general method for constructing pseudoGaussian tests—reducing to traditional Gaussian tests under Gaussian densities but remaining valid under nonGaussian ones—is proposed. This method provides a solution to several open problems in classical multivariate analysis. One of them is the test
PseudoGaussian tests for common principal components
, 2008
"... The socalled Common Principal Components (CPC) Model, in which the covariance matrices Σi of m populations are assumed to have identical eigenvectors, was introduced by Flury (1984). While Gaussian parametric inference methods (Gaussian maximum likelihood estimation; Gaussian likelihood ratio testi ..."
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Cited by 4 (4 self)
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testing) are fully developed for this model, relatively little has been done to extend their validity beyond the Gaussian case. In this paper, we show how Flury (1984)’s Gaussian likelihood ratio test (LRT) for the hypothesis of CPC can be modified into a pseudoGaussian test which remains valid under
Davy PAINDAVEINEA general Method for Constructing PseudoGaussian Tests
, 2007
"... A general method for constructing pseudoGaussian tests—reducing to traditional Gaussian tests under Gaussian densities but remaining valid under nonGaussian ones—is proposed. This method provides a solution to several open problems in classical multivariate analysis. One of them is the test of hom ..."
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A general method for constructing pseudoGaussian tests—reducing to traditional Gaussian tests under Gaussian densities but remaining valid under nonGaussian ones—is proposed. This method provides a solution to several open problems in classical multivariate analysis. One of them is the test
PseudoGaussian quantum models
, 2008
"... A new family of onedimensional quantum models is proposed in terms of new potentials with a Gaussian asymptotic behavior but approaching to the potential of the harmonic oscillator when x → 0. It is shown that, in the energy basis of the harmonic oscillator, the matrix elements of the Hamiltonian o ..."
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of the Gaussian wells which indicates that inside the well the quantum motion is close to an harmonic one. Here we would like to continue this study in the case of the nonrelativistic quantum system, looking for general onedimensional models with pseudoGaussian potentials. Our purpose is to define a large
A Chernoff–Savage result for shape. On the nonadmissibility of pseudoGaussian methods
 J. Multivariate Anal
, 2006
"... Chernoff and Savage (1958) established that, in the context of univariate location models, Gaussianscore rankbased procedures uniformly dominate—in terms of Pitman asymptotic relative efficiencies—their pseudoGaussian parametric counterparts. This result, which had quite an impact on the success ..."
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Cited by 11 (9 self)
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distribution. The Pitman nonadmissibility of the pseudoGaussian maximum likelihood estimator for shape and that of the pseudoGaussian likehood ratio test of sphericity follow.
High confidence visual recognition of persons by a test of statistical independence
 IEEE Trans. on Pattern Analysis and Machine Intelligence
, 1993
"... Abstruct A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence. The most unique phenotypic feature visible in a person’s face is the detailed texture of each eye’s iris: An estimate of its statistical complexity in a samp ..."
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Cited by 596 (8 self)
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Abstruct A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence. The most unique phenotypic feature visible in a person’s face is the detailed texture of each eye’s iris: An estimate of its statistical complexity in a
A Bayesian Framework for the Analysis of Microarray Expression Data: Regularized tTest and Statistical Inferences of Gene Changes
 Bioinformatics
, 2001
"... Motivation: DNA microarrays are now capable of providing genomewide patterns of gene expression across many different conditions. The first level of analysis of these patterns requires determining whether observed differences in expression are significant or not. Current methods are unsatisfactory ..."
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Cited by 485 (6 self)
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with neighboring genes. An additional hyperparameter, inversely related to the number of empirical observations, determines the strength of the background variance. Simulations show that these point estimates, combined with a ttest, provide a systematic inference approach that compares favorably with simple ttest
Bayes Factors
, 1995
"... In a 1935 paper, and in his book Theory of Probability, Jeffreys developed a methodology for quantifying the evidence in favor of a scientific theory. The centerpiece was a number, now called the Bayes factor, which is the posterior odds of the null hypothesis when the prior probability on the null ..."
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Cited by 1766 (74 self)
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is onehalf. Although there has been much discussion of Bayesian hypothesis testing in the context of criticism of P values, less attention has been given to the Bayes factor as a practical tool of applied statistics. In this paper we review and discuss the uses of Bayes factors in the context of five
Estimating the Support of a HighDimensional Distribution
, 1999
"... Suppose you are given some dataset drawn from an underlying probability distribution P and you want to estimate a "simple" subset S of input space such that the probability that a test point drawn from P lies outside of S is bounded by some a priori specified between 0 and 1. We propo ..."
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Cited by 766 (29 self)
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Suppose you are given some dataset drawn from an underlying probability distribution P and you want to estimate a "simple" subset S of input space such that the probability that a test point drawn from P lies outside of S is bounded by some a priori specified between 0 and 1. We
Iterative point matching for registration of freeform curves and surfaces
, 1994
"... A heuristic method has been developed for registering two sets of 3D curves obtained by using an edgebased stereo system, or two dense 3D maps obtained by using a correlationbased stereo system. Geometric matching in general is a difficult unsolved problem in computer vision. Fortunately, in ma ..."
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Cited by 659 (7 self)
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correspondences, which reduces the average distance between points in the two sets. Both synthetic and real data have been used to test the algorithm, and the results show that it is efficient and robust, and yields an accurate motion estimate.
Results 1  10
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66,434