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MA
2010
Springer
140views Communications» more  MA 2010»
13 years 3 months ago
The Dirichlet Markov Ensemble
We equip the polytope of n × n Markov matrices with the normalized trace of the Lebesgue measure of Rn2 . This probability space provides random Markov matrices, with i.i.d. rows...
Djalil Chafaï
MA
2010
Springer
128views Communications» more  MA 2010»
13 years 3 months ago
Single-index quantile regression
Tracy Z. Wu, Keming Yu, Yan Yu
MA
2010
Springer
122views Communications» more  MA 2010»
13 years 3 months ago
Thresholding methods to estimate copula density
Abstract: This paper deals with the problem of multivariate copula density estimation. Using wavelet methods we provide two shrinkage procedures based on thresholding rules for whi...
F. Autin, E. Le Pennec, K. Tribouley
MA
2010
Springer
132views Communications» more  MA 2010»
13 years 3 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
MA
2010
Springer
98views Communications» more  MA 2010»
13 years 3 months ago
The Stein phenomenon for monotone incomplete multivariate normal data
We establish the Stein phenomenon in the context of two-step, monotone incomplete data drawn from Np+q(µ, Σ), a multivariate normal population with mean µ and covariance matrix...
Donald St. P. Richards, Tomoya Yamada
MA
2010
Springer
88views Communications» more  MA 2010»
13 years 3 months ago
PRIM analysis
This paper analyzes a data mining/bump hunting technique known as PRIM (Fisher and Friedman, 1999). PRIM finds regions in high-dimensional input space with large values of a real...
Wolfgang Polonik, Zailong Wang
MA
2010
Springer
110views Communications» more  MA 2010»
13 years 3 months ago
Multivariate comonotonicity
In this paper we consider several multivariate extensions of comonotonicity. We show that naive extensions do not enjoy some of the main properties of the univariate concept. In o...
Giovanni Puccetti, Marco Scarsini