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03/30/2023
Bayesian inference of grid cell firing patterns using Poisson point process models with latent oscillatory Gaussian random fields
Questions about information encoded by the brain demand statistical fram...
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12/12/2022
Bayesian modelling of the temporal evolution of seismicity using the ETAS.inlabru R-package
The Epidemic Type Aftershock Sequence (ETAS) model is widely used to mod...
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06/27/2022
Approximation of bayesian Hawkes process models with Inlabru
Hawkes process are very popular mathematical tools for modelling phenome...
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11/01/2021
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running
Gaussian processes and random fields have a long history, covering multi...
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09/23/2021
Quantile based modelling of diurnal temperature range with the five-parameter lambda distribution
Diurnal temperature range is an important variable in climate science th...
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05/25/2021
Ranking earthquake forecasts using proper scoring rules: Binary events in a low probability environment
Operational earthquake forecasting for risk management and communication...
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06/08/2020
The diffusion-based extension of the Matérn field to space-time
The Matérn field is the most well known family of covariance functions u...
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07/09/2019
The Integrated nested Laplace approximation for fitting models with multivariate response
This paper introduces a Laplace approximation to Bayesian inference in r...
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06/25/2019
Spatial 3D Matérn priors for fast whole-brain fMRI analysis
Bayesian whole-brain functional magnetic resonance imaging (fMRI) analys...
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02/18/2018