Zobrazeno 1 - 10
of 683
pro vyhledávání: '"Wrapped normal distribution"'
We present a rotated hyperbolic wrapped normal distribution (RoWN), a simple yet effective alteration of a hyperbolic wrapped normal distribution (HWN). The HWN expands the domain of probabilistic modeling from Euclidean to hyperbolic space, where a
Externí odkaz:
http://arxiv.org/abs/2205.13371
Hyperbolic space is a geometry that is known to be well-suited for representation learning of data with an underlying hierarchical structure. In this paper, we present a novel hyperbolic distribution called \textit{pseudo-hyperbolic Gaussian}, a Gaus
Externí odkaz:
http://arxiv.org/abs/1902.02992
The wrapped normal distribution arises when a the density of a one-dimensional normal distribution is wrapped around the circle infinitely many times. At first look, evaluation of its probability density function appears tedious as an infinite series
Externí odkaz:
http://arxiv.org/abs/1405.6397
Conference
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Akademický článek
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Publikováno v:
Communications in Statistics - Theory and Methods. 42:660-672
In this article, we study the SB-robustness of various estimators of the mean direction (μ) and the concentration parameter (ρ) of the wrapped normal distribution. The functional corresponding to the sample mean direction is seen to be not SB-robus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08864a11669496fc1357e1cbc30dd9f2
https://doi.org/10.1080/03610926.2012.721911
https://doi.org/10.1080/03610926.2012.721911
Autor:
Gerhard Kurz, Uwe D. Hanebeck
Publikováno v:
CDC
Correlated uncertain angular quantities can be modeled using the bivariate wrapped normal distribution. In this paper, we focus on the problem of estimating the distribution's parameters from a given set of samples. For this purpose, we propose sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a485988742a5172c86f70a5ed0b18087
https://doi.org/10.1109/cdc.2015.7402373
https://doi.org/10.1109/cdc.2015.7402373
Autor:
Nodehi, Anahita
One of the main difficulties in any statistical method is whether the data could have actually been drawn from that fitted distribution or not. To extend in circular data, it is necessary to consider nature feature of this data. The Wrapped Normal an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6466c7ed5b9b458c8d60dd4c7e907bc
Publikováno v:
MFI
We introduce a novel probability distribution on the group of rigid motions SE(2) and we refer to this distribution as the partially wrapped normal distribution. Describing probabilities on SE(2) is of interest in a wide range of applications, for ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0f3005d86e0028a2df5982b7bbc8aa1
https://doi.org/10.1109/mfi.2014.6997733
https://doi.org/10.1109/mfi.2014.6997733
The wrapped normal distribution arises when a the density of a one-dimensional normal distribution is wrapped around the circle infinitely many times. At first look, evaluation of its probability density function appears tedious as an infinite series
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fadf4fd5435fbd5e420d2ed615557277
http://arxiv.org/abs/1405.6397
http://arxiv.org/abs/1405.6397