Brownian bridge importance sampling removes bias in maximum-likelihood estimation of Langevin diffusion parameters for autocorrelated, irregularly sampled animal telemetry data.
Weighted distributions and es- timation of resource selection probability functions
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Gamma-heterogeneous stopping rates applied to subdiffusive fBM yield heavy-tailed radial position densities while preserving localized aggregation.
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Unbiased likelihood estimation of the Langevin diffusion for animal movement modelling
Brownian bridge importance sampling removes bias in maximum-likelihood estimation of Langevin diffusion parameters for autocorrelated, irregularly sampled animal telemetry data.
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Heavy-Tailed Dispersal Kernels from Stopped Subdiffusive Fractional Brownian Motion
Gamma-heterogeneous stopping rates applied to subdiffusive fBM yield heavy-tailed radial position densities while preserving localized aggregation.