hierarchical model

Phylogenetic occupancy models integrate imperfect detection and phylogenetic signal to analyze community structure
Biological communities are structured phylogenetically—closely related species are typically more likely to be found at the same sites. …
Luke O. Frishkoff, Perry de Valpine, Leithen K. M'Gonigle
Last updated on Jun 8, 2022
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Efficient Markov chain Monte Carlo sampling for hierarchical hidden Markov models
Traditional Markov chain Monte Carlo (MCMC) sampling of hidden Markov models (HMMs) involves latent states underlying an imperfect …
Daniel Turek, Perry de Valpine, Christopher J. Paciorek
Last updated on Jun 8, 2022
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Statistical ecology comes of age
The desire to predict the consequences of global environmental change has been the driver towards more realistic models embracing the …
Olivier Gimenez, Stephen T. Buckland, Byron J. T. Morgan, Nicolas Bez, Sophie Bertrand, Rémi Choquet, Stéphane Dray, Marie-Pierre Etienne, Rachel Fewster, Frédéric Gosselin, Bastien Mérigot, Pascal Monestiez, Juan M. Morales, Frédéric Mortier, François Munoz, Otso Ovaskainen, Sandrine Pavoine, Roger Pradel, Frank M. Schurr, Len Thomas, Wilfried Thuiller, Verena Trenkel, Perry de Valpine, Eric Rexstad
Last updated on Jun 8, 2022
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Estimating tree growth from complex forest monitoring data
Understanding tree growth as a function of tree size is important for a multitude of ecological and management applications. …
Melissa Eitzel, John Battles, Robert York, Jonas Knape, Perry de Valpine
Last updated on Jun 8, 2022
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