Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Rasmussen, Jakob G."'
Autor:
Møller, Jesper, Rasmussen, Jakob G.
There is a lack of point process models on linear networks. For an arbitrary linear network, we consider new models for a Cox process with an isotropic pair correlation function obtained in various ways by transforming an isotropic Gaussian process w
Externí odkaz:
http://arxiv.org/abs/2212.08402
In this paper we consider point processes specified on directed linear networks, i.e. linear networks with associated directions. We adapt the so-called conditional intensity function used for specifying point processes on the time line to the settin
Externí odkaz:
http://arxiv.org/abs/1812.09071
Autor:
Møller, Jesper1 (AUTHOR) jm@math.aau.dk, Rasmussen, Jakob G.1 (AUTHOR)
Publikováno v:
Scandinavian Journal of Statistics. Sep2024, Vol. 51 Issue 3, p1288-1322. 35p.
We develop parametric classes of covariance functions on linear networks and their extension to graphs with Euclidean edges, i.e., graphs with edges viewed as line segments or more general sets with a coordinate system allowing us to consider points
Externí odkaz:
http://arxiv.org/abs/1710.01295
Publikováno v:
The Annals of Statistics, 2020 Aug 01. 48(4), 2478-2503.
Externí odkaz:
https://www.jstor.org/stable/26931566
Analyzing point patterns with linear structures has recently been of interest in e.g. neuroscience and geography. To detect anisotropy in such cases, we introduce a functional summary statistic, called the cylindrical $K$-function, since it is a dire
Externí odkaz:
http://arxiv.org/abs/1503.07423
Publikováno v:
In Computer Networks 4 September 2017 124:157-169
Autor:
Rasmussen, Jakob G.1 (AUTHOR) jgr@math.aau.dk, Christensen, Heidi S.1 (AUTHOR)
Publikováno v:
Methodology & Computing in Applied Probability. Jun2021, Vol. 23 Issue 2, p647-667. 21p.
Autor:
Møller, Jesper, Rasmussen, Jakob G.
There is a lack of point process models on linear networks. For an arbitrary linear network, we use isotropic covariance functions with respect to the geodesic metric or the resistance metric to construct new models for isotropic Gaussian processes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9e6158b3012c3096e7ea1b75d4ead01
Publikováno v:
Journal of the American Statistical Association, 2008 Mar 01. 103(481), 162-177.
Externí odkaz:
https://www.jstor.org/stable/27640028