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Now showing items 3421-3430 of 3781
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2024)
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
We propose a framework for fitting multivariable fractional polynomial models as special cases of Bayesian generalized nonlinear models, applying an adapted version of the genetically modified mode jumping Markov chain ...
(Doctoral thesis / Doktoravhandling, 2023)
The societal importance of weather drives a continuous effort to improve short- and long-term numerical weather prediction. A better knowledge of the conditions in the stratosphere, the atmospheric region from 10 to 50 ...
(Doctoral thesis / Doktoravhandling, 2023)
Operator algebras were born out of the attempt to give mathematically rigorous foundations to quantum mechanics, and its development has been higly influenced by the mathematical approaches to understanding quantum field ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
A classical technique to construct polynomial preserving extensions of scalar functions defined on the boundary of an simplex to the interior is to use so-called rational blending functions. The purpose of this paper is ...
(Doctoral thesis / Doktoravhandling, 2023)
This thesis is motivated by the following questions:
- Does there exist a weakest theory for which Gödel’s first incompleteness theorem holds?
- Does there exist a weakest structure for which solvability of systems of ...
Bayesian Neural Networks: Assessing the Posterior by Randomized Maximum Likelihood Restricted Access
(Master thesis / Masteroppgave, 2023)
(Master thesis / Masteroppgave, 2023)
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
It is well-known that the maximalization of a coaction of a locally compact group on a C*-algebra enjoys a universal property. We show how this important property can be deduced from a categorical framework by exploiting ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
Solution methods for the nonlinear PDE of the Rudin–Osher–Fatemi (ROF) and minimum-surface models are fundamental for many modern applications. Many efficient algorithms have been proposed. First-order methods are common. ...