Non‐Markovian maximum likelihood estimation of autocorrelated movement processes [PDF]
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
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Estimates for first exit times of non-Markovian Itô processes [PDF]
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
Who needs closure? Estimating abundance with a Markovian availability model for geographically open removal sampling. [PDF]
Perry RW +5 more
europepmc +1 more source
Neural barcoding representing cortical spatiotemporal dynamics based on continuous-time Markov chains. [PDF]
Culp JM +5 more
europepmc +1 more source
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]
Schmeller S +4 more
europepmc +1 more source
Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data. [PDF]
Raherinirina A +3 more
europepmc +1 more source
Artificial neural network analysis of a fractional cyber-epidemic model in wireless sensors under the proportional Hadamard-Caputo operator. [PDF]
Barakat MA +5 more
europepmc +1 more source
Quantifying local stability and noise levels from time series in the US Western Interconnection blackout on 10th August 1996. [PDF]
Heßler M, Kamps O.
europepmc +1 more source
Memory kernel minimization-based neural networks for discovering slow collective variables of biomolecular dynamics. [PDF]
Liu B, Cao S, Boysen JG, Xue M, Huang X.
europepmc +1 more source
Optimized Fractional-Order Extended Kalman Filtering for IMU-Based Attitude Estimation Using the Hippopotamus Algorithm. [PDF]
Yang X +5 more
europepmc +1 more source

