7 citations · 10 across the 5 of their papers we have counts for
5 papers
Hidden Markov and semi-Markov models: When and why are these models useful for classifying states in time series data?
Sofia Ruiz-Suarez, Vianey Leos-Barajas, Juan Manuel Morales
Hidden Markov models (HMMs) and their extensions have proven to be powerful tools for classification of observations that stem from systems with temporal dependence as they take in…
Running on empty: Recharge dynamics from animal movement data
Mevin B. Hooten, Henry R. Scharf, Juan M. Morales
Vital rates such as survival and recruitment have always been important in the study of population and community ecology. At the individual level, physiological processes such as e…
Multi-scale modeling of animal movement and general behavior data using hidden Markov models with hierarchical structures
Vianey Leos-Barajas, Eric Gangloff, Timo Adam +4
Hidden Markov models (HMMs) are commonly used to model animal movement data and infer aspects of animal behavior. An HMM assumes that each data point from a time series of observat…
Using efficient parallelization in Graphic Processing Units to parameterize stochastic fire propagation models
Mónica Denham, Karina Laneri
Fire propagation is a major concern in the world in general and in Argentinian northwestern Patagonia in particular where every year hundreds of hectares are affected by both natur…
Space use by foragers consuming renewable resources
Guillermo Abramson, Marcelo N Kuperman, Juan M Morales +1
We study a simple model of a forager as a walk that modifies a relaxing substrate. Within it simplicity, this provides an insight on a number of relevant and non-intuitive facts. E…