Jonas Wallin
Jonas Wallin
Verified email at stat.lu.se
Title
Cited by
Cited by
Year
Geostatistical modelling using non‐Gaussian Matérn fields
J Wallin, D Bolin
Scandinavian Journal of Statistics 42 (3), 872-890, 2015
592015
Statistical models for the speed prediction of a container ship
W Mao, I Rychlik, J Wallin, G Storhaug
Ocean engineering 126, 152-162, 2016
292016
BayesFlow: latent modeling of flow cytometry cell populations
K Johnsson, J Wallin, M Fontes
BMC bioinformatics 17 (1), 1-16, 2016
192016
Multivariate type G Matérn stochastic partial differential equation random fields
D Bolin, J Wallin
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2020
112020
Spatially adaptive covariance tapering
D Bolin, J Wallin
Spatial Statistics 18, 163-178, 2016
112016
Generalized bounds for active subspaces
MT Parente, J Wallin, B Wohlmuth
Electronic Journal of Statistics 14 (1), 917-943, 2020
102020
Predation by avian insectivores on caterpillars is linked to leaf damage on oak (Quercus robur)
B Gunnarsson, J Wallin, J Klingberg
Oecologia 188 (3), 733-741, 2018
92018
Maximizing leave-one-out likelihood for the location parameter of unbounded densities
K Podgórski, J Wallin
Annals of the Institute of Statistical Mathematics 67 (1), 19-38, 2015
82015
Linear mixed-effects models for non-gaussian repeated measurement data
Ö Asar, D Bolin, PJ Diggle, J Wallin
arXiv preprint arXiv:1804.02592, 2018
62018
Convolution-invariant subclasses of generalized hyperbolic distributions
K Podgórski, J Wallin
Communications in Statistics-Theory and Methods 45 (1), 98-103, 2016
62016
Slepian noise approach for gaussian and Laplace moving average processes
K Podgorski, I Rychlik, J Wallin
Extremes 18 (4), 665-695, 2015
62015
A Bayesian method to localize lost gamma sources
A Bukartas, R Finck, J Wallin, CL Rääf
Applied Radiation and Isotopes 145, 142-147, 2019
52019
Level set Cox processes
A Hildeman, D Bolin, J Wallin, JB Illian
Spatial statistics 28, 169-193, 2018
52018
Whole-brain substitute CT generation using Markov random field mixture models
A Hildeman, D Bolin, J Wallin, A Johansson, T Nyholm, T Asklund, J Yu
arXiv preprint arXiv:1607.02188, 2016
52016
Latent Gaussian random field mixture models
D Bolin, J Wallin, F Lindgren
Computational Statistics & Data Analysis 130, 80-93, 2019
42019
Modeling extreme loads acting on steering components using driving events
R Maghsood, I Rychlik, J Wallin
Probabilistic Engineering Mechanics 41, 13-20, 2015
42015
Linear mixed effects models for non‐Gaussian continuous repeated measurement data
Ö Asar, D Bolin, PJ Diggle, J Wallin
Journal of the Royal Statistical Society: Series C (Applied Statistics) 69 …, 2020
32020
The strong screening rule for SLOPE
J Larsson, M Bogdan, J Wallin
arXiv preprint arXiv:2005.03730, 2020
32020
Scale dependence: Why the average CRPS often is inappropriate for ranking probabilistic forecasts
D Bolin, J Wallin
arXiv preprint arXiv:1912.05642, 2019
32019
Efficient adaptive MCMC through precision estimation
J Wallin, D Bolin
Journal of Computational and Graphical Statistics 27 (4), 887-897, 2018
32018
The system can't perform the operation now. Try again later.
Articles 1–20