F Lindgren
Lindgren, Finn, 1973-
Lindgren, Finn
VIAF ID: 278379776 (Personal)
Permalink: http://viaf.org/viaf/278379776
Preferred Forms
- 100 0 _ ‡a F Lindgren
-
- 100 1 _ ‡a Lindgren, Finn ‡d 1973-
- 100 1 _ ‡a Lindgren, Finn, ‡d 1973-
4xx's: Alternate Name Forms (3)
Works
Title | Sources |
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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 | |
A comparison between Markov approximations and other methods for large spatial data sets | |
Discussion on “Spatial prediction in the presence of positional error” | |
The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015 | |
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 | |
Explicit construction of GMRF approximations to generalised Matérn fields on irregular grids | |
An explicit link between Gaussian fields and Gaussian Markov random fields : the SPDE approach | |
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 by Markov chain Monte Carlo simulation | |
Flame Reconstruction in Spark Ignition Engines | |
A Gaussian Markov random field model for total yearly precipitation over the African Sahel | |
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 | |
A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets | |
Multivariate 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 | |
A pilot study of facial, cranial and brain MRI morphometry in men with schizophrenia: Part 2 | |
A skew Gaussian decomposable graphical model | |
Spatial models with explanatory variables in the dependence structure | |
Spatial stochastic models generated by nested stochastic partial differential equations | |
Spatio-temporal modeling of particulate matter concentration through the SPDE approach | |
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running | |
Stochastic Asymmetry Properties of 3D Gauss-Lagrange Ocean Waves with Directional Spreading | |
Stochastic modelling and reconstruction of random shapes, 2003: | |
Think continuous : Markovian Gaussian models in spatial statistics | |
Wavelet Markov models as efficient alternatives to tapering and convolution fields |