Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Lyubchich, Vyacheslav"'
Autor:
Dey, Asim K.1,2 (AUTHOR), Lyubchich, Vyacheslav3 (AUTHOR), Gel, Yulia R.4 (AUTHOR) ygel@nsf.gov
Publikováno v:
Journal of Agricultural, Biological & Environmental Statistics (JABES). Mar2024, Vol. 29 Issue 1, p36-55. 20p.
Insurance industry is one of the most vulnerable sectors to climate change. Assessment of future number of claims and incurred losses is critical for disaster preparedness and risk management. In this project, we study the effect of precipitation on
Externí odkaz:
http://arxiv.org/abs/2103.08761
Publikováno v:
Environmetrics, 2020
As per the records of theWorld Health Organization, the first formally reported incidence of Zika virus occurred in Brazil in May 2015. The disease then rapidly spread to other countries in Americas and East Asia, affecting more than 1,000,000 people
Externí odkaz:
http://arxiv.org/abs/2009.13423
Publikováno v:
The R Journal (2018) 10:2, pages 95-113
Complex networks are used to describe a broad range of disparate social systems and natural phenomena, from power grids to customer segmentation to human brain connectome. Challenges of parametric model specification and validation inspire a search f
Externí odkaz:
http://arxiv.org/abs/1902.09029
Autor:
Frey, Benjamin1 benalexfrey@gmail.com, Lyubchich, Vyacheslav1, Sluis, Michelle Zapp2, Miller, Nathaniel3, Secor, David1
Publikováno v:
Fishery Bulletin. 2023, Vol. 121 Issue 4, p188-198. 11p.
Akademický článek
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Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 May . 118(21), 1-9.
Externí odkaz:
https://www.jstor.org/stable/27040591
Autor:
Gray, Matthew W., Alexander, Stephanie T., Beal, Brian F., Bliss, Tom, Burge, Colleen A., Cram, Jacob A., Luca, Michael De, Dumhart, James, Glibert, Patricia M., Gonsior, Michael, Heyes, Andrew, Huebert, Klaus B., Lyubchich, Vyacheslav, McFarland, Katherine, Parker, Matt, Plough, Louis V., Schott, Eric J., Wainger, Lisa A., Wikfors, Gary H., Wilbur, Ami E.
Publikováno v:
In Aquaculture 15 January 2022 546
In this paper, we propose new nonparametric approach to network inference that may be viewed as a fusion of block sampling procedures for temporally and spatially dependent processes with the classical network methodology. We develop estimation and u
Externí odkaz:
http://arxiv.org/abs/1402.3647