Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Agnese Panzera"'
Publikováno v:
Proceedings, Vol 21, Iss 1, p 27 (2019)
Non-parametric regression with a circular response variable and a unidimensional linear regressor is a topic which was discussed in the literature. In this work, we extend the results to the case of multivariate linear explanatory variables. Nonparam
Externí odkaz:
https://doaj.org/article/dbad6a03f32146ed879eaebdd297e9e1
Until now the problem of estimating circular densities when data are observed with errors has been mainly treated by Fourier series methods. We propose kernel-based estimators exhibiting simple construction and easy implementation. Specifically, we c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::310c823f796d299e7297f2e7a0b3ebfc
Publikováno v:
TEST. 30:650-672
Nonparametric estimators of a regression function with circular response and $${\mathbb {R}}^d$$ -valued predictor are considered in this work. Local polynomial estimators are proposed and studied. Expressions for the asymptotic conditional bias and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01ec3cb9a720d0f8a68927a1f3a19c61
https://doi.org/10.1007/s11749-020-00736-w
https://doi.org/10.1007/s11749-020-00736-w
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030573058
We consider the problem of nonparametrically estimating a circular density from data contaminated by angular measurement errors. Specifically, we obtain a kernel-type estimator with weight functions that are reminiscent of deconvolution kernels. Here
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::154b31f6ca0604865d5eab56b284ff24
https://doi.org/10.1007/978-3-030-57306-5_17
https://doi.org/10.1007/978-3-030-57306-5_17
Classifying observations coming from two different spherical populations by using a nonparametric method appears to be an unexplored field, although clearly worth to pursue. We propose some decision rules based on spherical kernel density estimation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d97cf444bc4f7639d6f258f7d69179a
https://eprints.whiterose.ac.uk/138925/1/sphereclassA5.pdf
https://eprints.whiterose.ac.uk/138925/1/sphereclassA5.pdf
We discuss local regression estimators when the predictor lies on the d -dimensional sphere and the response is binary. Despite Di Marzio et al. (2018b), who introduce spherical kernel density classification, we build on the theory of local polynomia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::768e10e224bbbfeb28f5227106f62bb0
https://eprints.whiterose.ac.uk/138926/1/sphereclassB4.pdf
https://eprints.whiterose.ac.uk/138926/1/sphereclassB4.pdf
Publikováno v:
Journal of Statistical Computation and Simulation. 86:2560-2572
Local likelihood has been mainly developed from an asymptotic point of view, with little attention to finite sample size issues. The present paper provides simulation evidence of how likelihood density estimation practically performs from two points
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81aa91a403fc738a009ea9305f8b9f16
https://doi.org/10.1080/00949655.2016.1149588
https://doi.org/10.1080/00949655.2016.1149588
Publikováno v:
Journal of Statistical Planning and Inference. 170:1-14
We discuss nonparametric estimation of conditional quantiles of a circular distribution when the conditioning variable is either linear or circular. Two different approaches are pursued: inversion of a conditional distribution function estimator, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc008f1e37aaa9710edcbd33f7ecf60b
https://doi.org/10.1016/j.jspi.2015.08.004
https://doi.org/10.1016/j.jspi.2015.08.004
Publikováno v:
Journal of Statistical Computation and Simulation. 86:2573-2582
The conditional density offers the most informative summary of the relationship between explanatory and response variables. We need to estimate it in place of the simple conditional mean when its shape is not well-behaved. A motivation for estimating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd99b6ea858ae0d161f6633d0f705f59
https://doi.org/10.1080/00949655.2016.1146279
https://doi.org/10.1080/00949655.2016.1146279
Publikováno v:
Applied Directional Statistics ISBN: 9781315228570
Circular data occur when the sample space is the unit circle. The peculiarity of a circular measurement scale is that its beginning and its end coincide. After both an origin and an orientation have been chosen, a circular observation can be measured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8923cbc6b1babe2f2d83742187ae30
https://doi.org/10.1201/9781315228570-19
https://doi.org/10.1201/9781315228570-19