hidden Markov model

State-space models for ecological time-series data: Practical model-fitting
State-space models are an increasingly common and important tool in the quantitative ecologists’ armoury, particularly for the analysis …
Ken Newman, Ruth King, Víctor Elvira, Perry de Valpine, Rachel S. McCrea, Byron J. T. Morgan
Last updated on Jun 9, 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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