David Bolin

2024

Locally tail-scale invariant scoring rules for evaluation of extreme value forecasts

2022

Joint spatial modeling of significant wave height and wave period using the SPDE approach

Deformed SPDE models with an application to spatial modeling of significant wave height

Functional ANOVA modelling of pedestrian counts on streets in three European cities

2021

New characterization measures of pore shape and connectivity applied to coatings used for controlled drug release

Extreme Rainfall Events in the Northeastern United States Become More Frequent with Rising Temperatures, but Their Intensity Distribution Remains Stable

2020

Numerical solution of fractional elliptic stochastic PDEs with spatial white noise

3D high spatial resolution visualisation and quantification of interconnectivity in polymer films

2020

The Rational SPDE Approach for Gaussian Random Fields With General Smoothness

A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis

2019

Structure of Plot Systems and Economic Activity in Cities: Linking Plot Types to Retail and Food Services in London, Amsterdam and Stockholm

2019

Statistical modelling and analysis of big data on pedestrian movement

Bayesian Generalized Two-way ANOVA Modeling for Functional Data Using INLA

Latent Gaussian random field mixture models

Prediction of diffusive transport through polymer films from characteristics of the pore geometry

Level set Cox processes

Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images

2018

Weak convergence of Galerkin approximations for fractional elliptic stochastic PDEs with spatial white noise

2018

Efficient Covariance Approximations for Large Sparse Precision Matrices

Efficient Adaptive MCMC Through Precision Estimation

A three-dimensional statistical model for imaged microstructures of porous polymer films

2018

Calculating probabilistic excursion sets and related quantities using excursions

Spatial modeling with R-INLA: A review

Quantifying the uncertainty of contour maps

Fast Bayesian whole-brain fMRI analysis with spatial 3D priors

Spatially adaptive covariance tapering

Calibrating regionally downscaled precipitation over Norway through quantile-based approaches

Modeling the Polarimetric mm-wave Propagation Channel using Censored Measurements

Geostatistical Modelling Using Non-Gaussian Matern Fields

Excursion and contour uncertainty regions for latent Gaussian models

Statistical Prediction of Global Sea Level From Global Temperature

Statistical Modeling and Estimation of Censored Pathloss Data

Modeling the cluster decay in mm-wave channels

Multivariate latent Gaussian random field mixture models

Assessing the Uncertainty in Projecting Local Mean Sea Level from Global Temperature

Spatial Matérn Fields Driven by Non-Gaussian Noise

Spatial statistik och beräkningsintensiva metoder

A comparison between Markov approximations and other methods for large spatial data sets

Models and methods for random fields in spatial statistics with computational efficiency from Markov properties [Elektronisk resurs]

Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping

Non-traditional stochastic models for ocean waves

Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields