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Non‐Markovian maximum likelihood estimation of autocorrelated movement processes [PDF]

open access: yesMethods in Ecology and Evolution, 2014
SummaryBy viewing animal movement paths as realizations of a continuous stochastic process, we introduce a rigorous likelihood method for estimating the statistical parameters of movement processes. This method makes no assumption of a hidden Markov property, places no special emphasis on the sampling rate, is insensitive to irregular sampling and data
Fleming, Christen H.   +5 more
openaire   +2 more sources

Estimates for first exit times of non-Markovian Itô processes [PDF]

open access: yesStochastics, 2008
First exit times and their path-wise dependence on trajectories are studied for non-Markovian Ito processes. Estimates of distances between two exit times are obtained. In particular, it follows that first exit times of two Ito processes are close if their trajectories are close.
openaire   +2 more sources

Neural barcoding representing cortical spatiotemporal dynamics based on continuous-time Markov chains. [PDF]

open access: yesCell Rep Methods
Culp JM   +5 more
europepmc   +1 more source

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