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MA
2010
Springer
114views Communications» more  MA 2010»
15 years 5 months ago
Finite-sample inference with monotone incomplete multivariate normal data, II
We continue our recent work on finite-sample, i.e., non-asymptotic, inference with two-step, monotone incomplete data from Nd(µ, Σ), a multivariate normal population with mean ...
Wan-Ying Chang, Donald St. P. Richards
MA
2010
Springer
94views Communications» more  MA 2010»
15 years 5 months ago
On sparse estimation for semiparametric linear transformation models
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Hao Helen Zhang, Wenbin Lu, Hansheng Wang
MA
2010
Springer
149views Communications» more  MA 2010»
15 years 5 months ago
A nonparametric approach to 3D shape analysis from digital camera images - I
In this article, for the first time, one develops a nonparametric methodology for an analysis of shapes of configurations of landmarks on real 3D objects from regular camera pho...
V. Patrangenaru, X. Liu, S. Sugathadasa
MA
2010
Springer
172views Communications» more  MA 2010»
15 years 5 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
MA
2010
Springer
135views Communications» more  MA 2010»
15 years 5 months ago
Nonparametric comparison of regression functions
In this work we provide a new methodology for comparing regression functions m1 and m2 from two samples. Since apart from smoothness no other (parametric) assumptions are required...
Ramidha Srihera, Winfried Stute
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