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pro vyhledávání: '"Schwob, Michael R"'
Compositional data are an increasingly prevalent data source in spatial statistics. Analysis of such data is typically done on log-ratio transformations or via Dirichlet regression. However, these approaches often make unnecessarily strong assumption
Externí odkaz:
http://arxiv.org/abs/2410.03648
Mechanistic statistical models are commonly used to study the flow of biological processes. For example, in landscape genetics, the aim is to infer spatial mechanisms that govern gene flow in populations. Existing statistical approaches in landscape
Externí odkaz:
http://arxiv.org/abs/2311.01341
Methods for population estimation and inference have evolved over the past decade to allow for the incorporation of spatial information when using capture-recapture study designs. Traditional approaches to specifying spatial capture-recapture (SCR) m
Externí odkaz:
http://arxiv.org/abs/2305.04141
To study population dynamics, ecologists and wildlife biologists use relative abundance data, which are often subject to temporal preferential sampling. Temporal preferential sampling occurs when sampling effort varies across time. To account for pre
Externí odkaz:
http://arxiv.org/abs/2212.05180
Ecologists increasingly rely on Bayesian methods to fit capture-recapture models. Capture-recapture models are used to estimate abundance while accounting for imperfect detectability in individual-level data. A variety of implementations exist for su
Externí odkaz:
http://arxiv.org/abs/2205.04453
Publikováno v:
In Spatial Statistics March 2024 59
Proposed in 1937, the Collatz conjecture has remained in the spotlight for mathematicians and computer scientists alike due to its simple proposal, yet intractable proof. In this paper, we propose several novel theorems, corollaries, and algorithms t
Externí odkaz:
http://arxiv.org/abs/2104.10713
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Autor:
Schwob, Michael R.1 (AUTHOR) schwob@utexas.edu, Hooten, Mevin B.1 (AUTHOR), McDevitt-Galles, Travis2 (AUTHOR)
Publikováno v:
Journal of Agricultural, Biological & Environmental Statistics (JABES). Dec2023, Vol. 28 Issue 4, p774-791. 18p.
Akademický článek
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