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

open access: bronzeMethods 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   +4 more sources

The Challenge of Time-to-Event Analysis for Multiple Events: A Guided Tour From Time-to-First-Event to Recurrent Time-to-Event Analysis. [PDF]

open access: yesBiom J
ABSTRACT Clinical trials often compare a treatment to a control group concerning multiple possible combined time‐to‐event endpoints like hospital‐free survival. Thereby, the first endpoint may occur more than once (“recurrent”), whereas the second endpoint is absorbing. Inclusion of all observed events in the analysis can increase the power and provide
Schmeller S   +4 more
europepmc   +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

Genome sequencing uncovers the history of the Russian desman's gradual population decline and contributes to the evolutionary history of Talpidae. [PDF]

open access: yesBMC Ecol Evol
Kosushkin SA   +8 more
europepmc   +1 more source

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