Introduces penalized spline SCR models fitted via Laplace-approximate penalized marginal likelihood to flexibly model nonlinear covariate effects on density and approximate LGCP activity centre processes.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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stat.ME 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A spatio-temporal disaggregation method that replaces lognormal polygon effects with gamma overdispersion to obtain a marginal negative binomial likelihood, reducing latent variables and enabling fast inference via the Extended Latent Gaussian Model framework.
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Spatial Capture-Recapture With Penalized Regression Splines to Flexibly Model Wildlife Density and Distribution
Introduces penalized spline SCR models fitted via Laplace-approximate penalized marginal likelihood to flexibly model nonlinear covariate effects on density and approximate LGCP activity centre processes.
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Spatio-Temporal Disaggregation with Changing Areal Boundaries
A spatio-temporal disaggregation method that replaces lognormal polygon effects with gamma overdispersion to obtain a marginal negative binomial likelihood, reducing latent variables and enabling fast inference via the Extended Latent Gaussian Model framework.