Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Wiemann, Paul"'
In structured additive distributional regression, the conditional distribution of the response variables given the covariate information and the vector of model parameters is modelled using a P-parametric probability density function where each param
Externí odkaz:
http://arxiv.org/abs/2412.10038
Penalized transformation models (PTMs) are a novel form of location-scale regression. In PTMs, the shape of the response's conditional distribution is estimated directly from the data, and structured additive predictors are placed on its location and
Externí odkaz:
http://arxiv.org/abs/2404.07440
Multivariate spatial fields are of interest in many applications, including climate model emulation. Not only can the marginal spatial fields be subject to nonstationarity, but the dependence structure among the marginal fields and between the fields
Externí odkaz:
http://arxiv.org/abs/2311.06220
Autor:
Marques, Isa, Wiemann, Paul F. V.
A common phenomenon in spatial regression models is spatial confounding. This phenomenon occurs when spatially indexed covariates modeling the mean of the response are correlated with a spatial effect included in the model. spatial+ Dupont et al. (20
Externí odkaz:
http://arxiv.org/abs/2309.05496
Liesel is a probabilistic programming framework focusing on but not limited to semi-parametric regression. It comprises a graph-based model building library, a Markov chain Monte Carlo (MCMC) library with support for modular inference algorithms comb
Externí odkaz:
http://arxiv.org/abs/2209.10975
Response functions linking regression predictors to properties of the response distribution are fundamental components in many statistical models. However, the choice of these functions is typically based on the domain of the modeled quantities and i
Externí odkaz:
http://arxiv.org/abs/2111.14207
Autor:
Wiemann, Paul F. V.1,2 (AUTHOR) pwiemann@uni-goettingen.de, Kneib, Thomas2 (AUTHOR), Hambuckers, Julien3 (AUTHOR)
Publikováno v:
Statistical Papers. Jul2024, Vol. 65 Issue 5, p3155-3180. 26p.
Autor:
Wiemann, Paul, Kneib, Thomas
In this paper, we propose a new horseshoe-type prior hierarchy for adaptively shrinking spline-based functional effects towards a predefined vector space of parametric functions. Instead of shrinking each spline coefficient towards zero, we use an ad
Externí odkaz:
http://arxiv.org/abs/2101.05630
Autor:
Marques, Isa1 (AUTHOR) imarques@uni-goettingen.de, Wiemann, Paul F. V.1,2 (AUTHOR), Kneib, Thomas1 (AUTHOR)
Publikováno v:
Journal of Agricultural, Biological & Environmental Statistics (JABES). Dec2023, Vol. 28 Issue 4, p706-725. 20p.
Publikováno v:
In Computational Statistics and Data Analysis April 2022 168