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- Bayesian modelling (1)
- Citizen science (1)
- Data translation (1)
- Data translator (1)
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- Forest fire (1)
- Habitat condition (1)
- Heuristic optimization (1)
- Invasive species (1)
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- Knowledge exchange (1)
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- Shape constrained estimation (1)
- Streptopelia decaocto (1)
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Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Invasion Dynamics Of The European Collared-Dove In North America Are Explained By Combined Effects Of Habitat And Climate, Yiran Shao, Danielle Ethier, Simon Bonner
Invasion Dynamics Of The European Collared-Dove In North America Are Explained By Combined Effects Of Habitat And Climate, Yiran Shao, Danielle Ethier, Simon Bonner
Statistical and Actuarial Sciences Publications
Global biodiversity is increasingly threatened by the spread of invasive species. Understanding the mechanisms influencing the initial colonization and persistence of invaders is therefore needed if conservation actions are to prevent new invasions or strive to slow their spread. The Eurasian Collared-Dove (Streptopelia decaocto, EUCO) is one of the most successful avian invasive species in North America; however, to our knowledge, no study has simultaneously examined the role that climate-matching, human activity, directional propagation, and local density have in this invasion process. Our research expands upon a cellular-automata-based hierarchical model developed to assess directional invasion dynamics to further quantify the …
A Conceptual Framework For Knowledge Exchange In A Wildland Fire Research And Practice Context, Colin B. Mcfayden, Lynn M. Johnston, Douglas G. Woolford, Colleen George, Den Boychuk, Daniel Johnston, B. Mike Wotton, Joshua M. Johnston
A Conceptual Framework For Knowledge Exchange In A Wildland Fire Research And Practice Context, Colin B. Mcfayden, Lynn M. Johnston, Douglas G. Woolford, Colleen George, Den Boychuk, Daniel Johnston, B. Mike Wotton, Joshua M. Johnston
Statistical and Actuarial Sciences Publications
No abstract provided.
A Greedy Algorithm For Unimodal Kernel Density Estimation By Data Sharpening, Mark A. Wolters
A Greedy Algorithm For Unimodal Kernel Density Estimation By Data Sharpening, Mark A. Wolters
Statistical and Actuarial Sciences Publications
Nonparametric methods for smoothing, regression, and density estimation produce estimators with great shape flexibility. Although this flexibility is an advantage, the practical value of nonparametric methods would be increased if qualitative constraints—natural-language shape restrictions—could also be imposed on the estimator. In density estimation, the most common such constraints are monotonicity (the density must be nondecreasing or nonincreasing) and unimodality (the density must have only one peak). The work presented here takes unimodal kernel density estimation as a representative problem in constrained nonparametric estimation. The method proposed for handling the constraint is data sharpening. A greedy algorithm is described for achieving …