List of works - Finn Lindgren

A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets

article

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

A pilot study of facial, cranial and brain MRI morphometry in men with schizophrenia: Part 2

scientific article published on 01 September 2006

A skew Gaussian decomposable graphical model

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach ⬇️

scholarly article

An image warping approach to spatio-temporal modelling

Analyzing the Image Warp Forecast Verification Method on Precipitation Fields from the ICP

Bayesian computing with INLA: New features

article published in 2013

Beyond the Valley of the Covariance Function ⬇️

Combined use of iteration, quadratic interpolation and an extra kernel for high-resolution 2D particle tracking: A first evaluation

Comments on: Comparing and selecting spatial predictors using local criteria

Discussion on “Spatial prediction in the presence of positional error”

Does non-stationary spatial data always require non-stationary random fields?

article by Geir-Arne Fuglstad et al published November 2015 in Spatial Statistics

Efficient Covariance Approximations for Large Sparse Precision Matrices

Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field

article by Rikke Ingebrigtsen et al published November 2015 in Spatial Statistics

Evaluation of Cardiac Ultrasound Data by Bayesian Probability Maps

Excursion and contour uncertainty regions for latent Gaussian models

article

Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy

article by Geir-Arne Fuglstad et al published 2014 in Statistica Sinica

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

Flame Reconstruction in Spark Ignition Engines

article

Going off grid: computationally efficient inference for log-Gaussian Cox processes

In order to make spatial statistics computationally feasible, we need to forget about the covariance function

article published in 2011

Latent Gaussian random field mixture models

scholarly article by David Bolin et al published February 2019 in Computational Statistics & Data Analysis

Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise

scientific article published on 16 January 2015

Non-traditional stochastic models for ocean waves

article published in 2010

On the Second-Order Random Walk Model for Irregular Locations

article

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

article published in 2011

Spatial models with explanatory variables in the dependence structure

Spatio-temporal modeling of particulate matter concentration through the SPDE approach

article

Stochastic Asymmetry Properties of 3D Gauss-Lagrange Ocean Waves with Directional Spreading

The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running ⬇️

scholarly article

The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015

scientific article

List of works by Finn Lindgren

A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets

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

A pilot study of facial, cranial and brain MRI morphometry in men with schizophrenia: Part 2

A skew Gaussian decomposable graphical model

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach ⬇️

An image warping approach to spatio-temporal modelling

Analyzing the Image Warp Forecast Verification Method on Precipitation Fields from the ICP

Bayesian computing with INLA: New features

Beyond the Valley of the Covariance Function ⬇️

Combined use of iteration, quadratic interpolation and an extra kernel for high-resolution 2D particle tracking: A first evaluation

Comments on: Comparing and selecting spatial predictors using local criteria

Discussion on “Spatial prediction in the presence of positional error”

Does non-stationary spatial data always require non-stationary random fields?

Efficient Covariance Approximations for Large Sparse Precision Matrices

Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field

Evaluation of Cardiac Ultrasound Data by Bayesian Probability Maps

Excursion and contour uncertainty regions for latent Gaussian models

Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy

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

Flame Reconstruction in Spark Ignition Engines

Going off grid: computationally efficient inference for log-Gaussian Cox processes

In order to make spatial statistics computationally feasible, we need to forget about the covariance function

Latent Gaussian random field mixture models

Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise

Non-traditional stochastic models for ocean waves

On the Second-Order Random Walk Model for Irregular Locations

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

Spatial models with explanatory variables in the dependence structure

Spatio-temporal modeling of particulate matter concentration through the SPDE approach

Stochastic Asymmetry Properties of 3D Gauss-Lagrange Ocean Waves with Directional Spreading

The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running ⬇️

The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015

Think continuous: Markovian Gaussian models in spatial statistics