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pro vyhledávání: '"Yang, Wen-Hsi"'
We show that any application of the technique of unbiased simulation becomes perfect simulation when coalescence of the two coupled Markov chains can be practically assured in advance. This happens when a fixed number of iterations is high enough tha
Externí odkaz:
http://arxiv.org/abs/2308.07176
Environmental scientists frequently rely on time series of explanatory variables to explain their impact on an important response variable. However, sometimes, researchers are less interested in raw observations of an explanatory variable than in der
Externí odkaz:
http://arxiv.org/abs/2303.16073
Nonstationary time series data exist in various scientific disciplines, including environmental science, biology, signal processing, econometrics, among others. Many Bayesian models have been developed to handle nonstationary time series. The time-va
Externí odkaz:
http://arxiv.org/abs/2206.12280
Publikováno v:
In Computational Statistics and Data Analysis May 2023 181
Autor:
Foster, Scott D., Peel, David, Hosack, Geoffrey R., Hoskins, Andrew, Mitchell, David J., Proft, Kirstin, Yang, Wen‐Hsi, Uribe‐Rivera, David E, Froese, Jens G.
Publikováno v:
Ecography; Jun2024, Vol. 2024 Issue 6, p1-10, 10p
Modeling nonstationary processes is of paramount importance to many scientific disciplines including environmental science, ecology, and finance, among others. Consequently, flexible methodology that provides accurate estimation across a wide range o
Externí odkaz:
http://arxiv.org/abs/1408.2757
Autor:
Pagendam, Dan, Snoad, Nigel, Yang, Wen-Hsi, Segoli, Michal, Ritchie, Scott, Trewin, Brendan, Beebe, Nigel
Publikováno v:
Journal of Agricultural, Biological, and Environmental Statistics, 2018 Dec 01. 23(4), 446-462.
Externí odkaz:
https://www.jstor.org/stable/48720293
Publikováno v:
Stats; Dec2023, Vol. 6 Issue 4, p1037-1052, 16p
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Publikováno v:
In Journal of Hydrology May 2015 524:768-779