Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jonas Krampe"'
Autor:
Jonas Krampe, Efstathios Paparoditis
Publikováno v:
Journal of Time Series Analysis. 42:554-579
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad8c18be389c2cccd2713b07dee3bc97
https://doi.org/10.1111/jtsa.12586
https://doi.org/10.1111/jtsa.12586
Autor:
Jonas Krampe, Timothy L. McMurry
Publikováno v:
Journal of Time Series Analysis. 42:201-221
The Wold decomposition gives a moving average (MA) representation of a purely non‐deterministic stationary process. In this article, we derive estimates of the Wold matrices for a d‐dimensional process by using a Cholesky decomposition of a bande
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f6508d680db65ed2b5b59200cf411e6
https://doi.org/10.1111/jtsa.12562
https://doi.org/10.1111/jtsa.12562
Autor:
Mirko Junge, Jonas Krampe
Publikováno v:
Accident; analysis and prevention. 138
Our goal was the development of a robust and data-driven approach to ISO 26262 injury severity (S-parameter) estimation, replacing the current heuristic methods. The situations investigated as part of an ISO 26262 hazard & risk analysis are broken do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d49a0e83185b61b20ad18d1c0e113665
https://pubmed.ncbi.nlm.nih.gov/32135304
https://pubmed.ncbi.nlm.nih.gov/32135304
Autor:
Jonas Krampe, Mirko Junge
Objective: The objective of this study was to quantify the population-based effects of a lower shoulder belt load limit on front row occupants in frontal car crashes. Method: Crashes of modern vehicles from the GIDAS (German In-Depth Accident Study)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd7a91a5e7b448fb3045545fbe98a01d
Autor:
Jonas Krampe, Mirko Junge
Publikováno v:
Accident Analysis & Prevention. 150:105884
Currently, advanced driver assistance systems (ADAS) and automated vehicles (AV) are designed for use in the existing road infrastructure. These partially and fully automated vehicles will be operated in a shared space not only with other vehicles bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12f5f3eb6b7935d3c57c776b3cb8490f
https://doi.org/10.1016/j.aap.2020.105884
https://doi.org/10.1016/j.aap.2020.105884
Autor:
Jonas Krampe
Publikováno v:
Electron. J. Statist. 13, no. 2 (2019), 4945-4976
This paper focuses on modeling the dynamic attributes of a dynamic network with a fixed number of vertices. These attributes are considered as time series which dependency structure is influenced by the underlying network. They are modeled by a multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e3b74c4c38654228e2651dc19e78de9
http://arxiv.org/abs/1807.01133
http://arxiv.org/abs/1807.01133
Objective: The objective of this article was the construction of injury risk functions (IRFs) for front row occupants in oblique frontal crashes and a comparison to IRF of nonoblique frontal crashes from the same data set. Method: Crashes of modern v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::892768ed2649d29a05f6fe5cbec9ec60
Fitting sparse models to high-dimensional time series is an important area of statistical inference. In this paper, we consider sparse vector autoregressive models and develop appropriate bootstrap methods to infer properties of such processes. Our b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e722df2b5b9a78ab5c184e1576794f14