Zobrazeno 1 - 10
of 425
pro vyhledávání: '"Cook, Scott A."'
Spatial point process models are widely applied to point pattern data from various fields in the social and environmental sciences. However, a serious hurdle in fitting point process models is the presence of duplicated points, wherein multiple obser
Externí odkaz:
http://arxiv.org/abs/2405.15192
Publikováno v:
Harvard Business Review. Jan/Feb2024, Vol. 102 Issue 1, p118-125. 8p. 3 Black and White Photographs.
Autor:
Ahmed, Jan, Chumley, Timothy, Cook, Scott, Cox, Christopher, Grant, Hakiem, Petela, Nicholas, Rothrock, Bethany, Xhafaj, Ridnald
The ideal Galton board and Lorentz gas billiard models have been studied numerically and analytically primarily in settings where friction and rotational velocity are neglected. We eliminate these simplifying assumptions and study the resulting dynam
Externí odkaz:
http://arxiv.org/abs/2208.07790
Compared to widely used likelihood-based approaches, the minimum contrast (MC) method offers a computationally efficient method for estimation and inference of spatial point processes. These relative gains in computing time become more pronounced whe
Externí odkaz:
http://arxiv.org/abs/2208.07044
Publikováno v:
In Heliyon 30 September 2024 10(18)
Autor:
Armfield, Dylan, Boxwell, Sam, McNamara, Laoise, Cook, Scott, Conway, Shane, Celikin, Mert, Cardiff, Philip
Publikováno v:
In Journal of the Mechanical Behavior of Biomedical Materials September 2024 157
Publikováno v:
In International Journal of Fatigue January 2025 190
Autor:
Jun, Mikyoung, Cook, Scott
We develop flexible multivariate spatio-temporal Hawkes process models to analyze patterns of terrorism. Previous applications of point process methods to political violence data mainly utilize temporal Hawkes process models, neglecting spatial varia
Externí odkaz:
http://arxiv.org/abs/2202.12346
Event data are increasingly common in applied political science research. While these data are inherently locational, political scientists predominately analyze aggregate summaries of these events as areal data. In so doing, they lose much of the inf
Externí odkaz:
http://arxiv.org/abs/2108.12566
Publikováno v:
In Computational Statistics and Data Analysis January 2023 177