Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Miroslav Šiman"'
Autor:
Daniel Hlubinka, Miroslav Šiman
Publikováno v:
Revstat Statistical Journal, Vol 18, Iss 3 (2020)
The article extends linear and nonlinear quantile regression to the case of vector responses by generalizing multivariate elliptical quantiles to a regression context. In particular, it introduces parametric elliptical quantile regression in a genera
Externí odkaz:
https://doaj.org/article/322604e87a054b5bad335126d1c59160
Autor:
Šárka Hudecová, Miroslav Šiman
Publikováno v:
Journal of Nonparametric Statistics. :1-17
Publikováno v:
Scandinavian Journal of Statistics. 49:1586-1604
Publikováno v:
Journal of Nonparametric Statistics. 32:93-108
The article presents, discusses, and explores incomplete variants of interdirections, lift-interdirections, and symmetrised lift-interdirections (with a few incomplete designs). Although they are e...
Autor:
Šárka Hudecová, Miroslav Šiman
Publikováno v:
Electronic Journal of Statistics. 15
The article describes how directional quantiles can be useful for testing the null hypothesis that a multivariate distribution is symmetric around a line in a given direction. It also generalizes the proposed tests to residual distributions in a line
Autor:
Miroslav Šiman, Pavel Boček
Publikováno v:
Kybernetika. :480-492
Recently, the eminently popular standard quantile regression has been generalized to the multiple-output regression setup by means of directional regression quantiles in two rather interrelated ways. Unfortunately, they lead to complicated optimizati
Autor:
Miroslav Šiman, Pavel Boček
Publikováno v:
Computational Statistics. 32:929-946
The article deals with certain quantile regression methods for vector responses. In particular, it describes weighted and locally polynomial extensions to the projectional quantile regression, discusses their properties, addresses their computational
Autor:
Miroslav Šiman, Pavel Boček
Publikováno v:
Kybernetika. :28-51
Although many words have been written about two recent directional (regression) quantile concepts, their applications, and the algorithms for computing associated (regression) quantile regions, their software implementation is still not widely availa
Autor:
Marc Hallin, Miroslav Šiman
Publikováno v:
Statistics & Probability Letters. 109:232-237
This article extends linear quantile regression to an elliptical multiple-output regression setup. The definition of the proposed concept leads to a convex optimization problem. Its elementary properties, and the consistency of its sample counterpart
Autor:
Miroslav Šiman, Marc Hallin
Publikováno v:
Handbook of Quantile Regression ISBN: 9781315120256
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27d206e3b8cfa947408364b30532b55d
https://doi.org/10.1201/9781315120256-12
https://doi.org/10.1201/9781315120256-12