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Paul FV Wiemann
Paul FV Wiemann
Verified email at wisc.edu
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Cited by
Year
The role of attitudes in technology acceptance management: Reflections on the case of hydrogen fuel cells in Europe
P Bögel, C Oltra, R Sala, M Lores, P Upham, E Dütschke, U Schneider, ...
Journal of Cleaner Production 188, 125-135, 2018
992018
CUDA expression templates
P Wiemann, S Wenger, M Magnor
Václav Skala-UNION Agency, 2011
232011
Using the softplus function to construct alternative link functions in generalized linear models and beyond
PFV Wiemann, T Kneib, J Hambuckers
Statistical Papers, 1-26, 2023
82023
Correcting for sample selection bias in Bayesian distributional regression models
PFV Wiemann, N Klein, T Kneib
Computational Statistics & Data Analysis 168, 107382, 2022
62022
Liesel: a probabilistic programming framework for developing semi-parametric regression models and custom Bayesian inference algorithms
H Riebl, PFV Wiemann, T Kneib
arXiv preprint arXiv:2209.10975, 2022
22022
Effect Selection and Regularization in Structured Additive Distributional Regression
P Wiemann, T Kneib, H Wagner
Handbook of Bayesian Variable Selection, 271-296, 2021
12021
Adaptive shrinkage of smooth functional effects towards a predefined functional subspace
P Wiemann, T Kneib
arXiv preprint arXiv:2101.05630, 2021
12021
Bayesian Penalized Transformation Models: Structured Additive Location-Scale Regression for Arbitrary Conditional Distributions
J Brachem, PFV Wiemann, T Kneib
arXiv preprint arXiv:2404.07440, 2024
2024
Variational inference: uncertainty quantification in additive models
J Lichter, PFV Wiemann, T Kneib
AStA Advances in Statistical Analysis, 1-53, 2024
2024
Navigating Spatial Confounding in a Bayesian Framework: Assessment, Approaches, and Practical Recommendations for Researchers
I Marques, E Dupont, T Kneib, P Wiemann
2023 IMS International Conference on Statistics and Data Science (ICSDS), 128, 2023
2023
Bayesian nonparametric generative modeling of large multivariate non-Gaussian spatial fields
PFV Wiemann, M Katzfuss
Journal of Agricultural, Biological and Environmental Statistics 28 (4), 597-617, 2023
2023
A Variance Partitioning Multi-level Model for Forest Inventory Data with a Fixed Plot Design
I Marques, PFV Wiemann, T Kneib
Journal of Agricultural, Biological and Environmental Statistics 28 (4), 706-725, 2023
2023
Bayesian spatial+: A joint model perspective
I Marques, PFV Wiemann
arXiv preprint arXiv:2309.05496, 2023
2023
A horseshoe based prior for shrinkage towards a predefined parametric subspace.
P Wiemann, T Kneib
35th International Workshop on Statistical Modelling, 259, 0
Spatial multi-resolution models for small forestry data sets
I Marques, PFV Wiemann, T Kneib
METMA X, 253, 0
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