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pro vyhledávání: '"Michelot, Théo"'
Autor:
Michelot, Théo
Wild animals are commonly fitted with trackers that record their position through time, to learn about their behaviour. Broadly, statistical models for tracking data often fall into two categories: local models focus on describing small-scale movemen
Externí odkaz:
http://arxiv.org/abs/2406.15195
Step selection functions (SSFs) are flexible models to jointly describe animals' movement and habitat preferences. Their popularity has grown rapidly and extensions have been developed to increase their utility, including various distributions to des
Externí odkaz:
http://arxiv.org/abs/2308.15678
There is great interest in ecology to understand how wild animals are affected by anthropogenic disturbances, such as sounds. Behavioural response studies are an important approach to quantify the impact of naval activity on marine mammals. Controlle
Externí odkaz:
http://arxiv.org/abs/2212.09574
Autor:
Michelot, Théo
Hidden Markov models (HMMs) are widely applied in studies where a discrete-valued process of interest is observed indirectly. They have for example been used to model behaviour from human and animal tracking data, disease status from medical data, an
Externí odkaz:
http://arxiv.org/abs/2211.14139
Stochastic differential equations (SDEs) are popular tools to analyse time series data in many areas, such as mathematical finance, physics, and biology. They provide a mechanistic description of the phenomeon of interest, and their parameters often
Externí odkaz:
http://arxiv.org/abs/2008.09111
Habitat selection models are used in ecology to link the distribution of animals to environmental covariates, and identify habitats that are important for conservation. The most widely used models of this type, resource selection functions, assume in
Externí odkaz:
http://arxiv.org/abs/1810.10930
1. The utilisation distribution describes the relative probability of use of a spatial unit by an animal. It is natural to think of it as the long-term consequence of the animal's short-term movement decisions: it is the accumulation of small displac
Externí odkaz:
http://arxiv.org/abs/1810.10213
Autor:
Michelot, Théo, Blackwell, Paul G.
Continuous-time models have been developed to capture features of animal movement across temporal scales. In particular, one popular model is the continuous-time correlated random walk, in which the velocity of an animal is formulated as an Ornstein-
Externí odkaz:
http://arxiv.org/abs/1808.01755
Autor:
Leos-Barajas, Vianey, Michelot, Théo
Hidden Markov models (HMMs) are popular time series model in many fields including ecology, economics and genetics. HMMs can be defined over discrete or continuous time, though here we only cover the former. In the field of movement ecology in partic
Externí odkaz:
http://arxiv.org/abs/1806.10639
Autor:
McClintock, Brett T., Michelot, Theo
Publikováno v:
Methods in Ecology and Evolution 2018, Vol. 9, No. 6, 1518-1530
Discrete-time hidden Markov models (HMMs) have become an immensely popular tool for inferring latent animal behaviors from telemetry data. Here we introduce an open-source R package, momentuHMM, that addresses many of the deficiencies in existing HMM
Externí odkaz:
http://arxiv.org/abs/1710.03786