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07/08/2022
Copula Modelling of Serially Correlated Multivariate Data with Hidden Structures
We propose a copula-based extension of the hidden Markov model (HMM) whi...
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05/24/2021
Hidden Markov and semi-Markov models: When and why are these models useful to classify states in time series data?
Hidden Markov models (HMMs) and their extensions have proven to be power...
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02/02/2020
The Discrete Adjoint Method: Efficient Derivatives for Functions of Discrete Sequences
Gradient-based techniques are becoming increasingly critical in quantita...
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07/23/2019
Approximate Bayesian inference for a "steps and turns" continuous-time random walk observed at regular time intervals
The study of animal movement is challenging because it is a process modu...
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06/27/2018
An Introduction to Animal Movement Modeling with Hidden Markov Models using Stan for Bayesian Inference
Hidden Markov models (HMMs) are popular time series model in many fields...
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03/15/2018