Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Devan G. Becker"'
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0271904 (2022)
Research on the occurrence and the final size of wildland fires typically models these two events as two separate processes. In this work, we develop and apply a compound process framework for jointly modelling the frequency and the severity of wildl
Externí odkaz:
https://doaj.org/article/bf80b9c3eda94e0890fb4b1812d490fb
Publikováno v:
Journal of Quantitative Analysis in Sports. 17:107-115
Spatial point processes have been successfully used to model the relative efficiency of shot locations for each player in professional basketball games. Those analyses were possible because each player makes enough baskets to reliably fit a point pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62ffa51a1d6bf082533ea2575e09077f
https://doi.org/10.1515/jqas-2020-0012
https://doi.org/10.1515/jqas-2020-0012
Genetic sequencing is subject to many different types of errors, but most analyses treat the resultant sequences as if they are known without error. Next generation sequencing methods rely on significantly larger numbers of reads than previous sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca78116b8cccda06a5b2204bb7ba7f27
https://doi.org/10.1101/2021.11.30.470642
https://doi.org/10.1101/2021.11.30.470642
Publikováno v:
PloS one. 17(8)
Research on the occurrence and the final size of wildland fires typically models these two events as two separate processes. In this work, we develop and apply a compound process framework for jointly modelling the frequency and the severity of wildl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::846d29555ff76afe2357e92d5cac5c47
https://pubmed.ncbi.nlm.nih.gov/35984856
https://pubmed.ncbi.nlm.nih.gov/35984856
Publikováno v:
VISIGRAPP (3: IVAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7824b8214be1ae829d58d7bce4d8eb61
https://doi.org/10.5220/0010319602330239
https://doi.org/10.5220/0010319602330239
Publikováno v:
Journal of Statistical Computation and Simulation. 87:2023-2037
In this paper, we extend Choi and Hall's [Data sharpening as a prelude to density estimation. Biometrika. 1999;86(4):941–947] data sharpening algorithm for kernel density estimation to interval-censored data. Data sharpening has several advantages,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::813c8756fe45844758e29c67de01af53
https://doi.org/10.1080/00949655.2017.1308510
https://doi.org/10.1080/00949655.2017.1308510