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pro vyhledávání: '"ROBERT, Christian"'
Hourly maxima of 3-second wind gust speeds are prominent indicators of the severity of wind storms, and accurately forecasting them is thus essential for populations, civil authorities and insurance companies. Space-time max-stable models appear as n
Externí odkaz:
http://arxiv.org/abs/2411.15511
Autor:
Subroto, Robert Christian
We provide the Krull-Remak-Schmidt decomposition of group algebras of the form $k[G]$ where $k$ is a field, which includes fields with prime characteristic, and $G$ a finite abelian group. We achieved this by studying the geometric equivalence of $k[
Externí odkaz:
http://arxiv.org/abs/2408.14665
Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models,
Externí odkaz:
http://arxiv.org/abs/2406.14184
Autor:
Subroto, Robert Christian
In this paper, we present the simple components of the Wedderburn decomposition of semisimple commutative group algebras over finite abelian groups, which we investigate from a geometric point of view. We also present the Wedderburn decomposition of
Externí odkaz:
http://arxiv.org/abs/2406.11436
Autor:
Bon, Joshua, Robert, Christian P
This is a discussion of the paper "Safe testing" by Gr\"unwald, de Heide, and Koolen, Read before The Royal Statistical Society at a meeting organized by the Research Section on Wednesday, 24 January, 2024
Comment: 2 pages; comment on arXiv:1906
Comment: 2 pages; comment on arXiv:1906
Externí odkaz:
http://arxiv.org/abs/2402.14574
Autor:
Stoehr, Julien, Robert, Christian P.
Simulating mixtures of distributions with signed weights proves a challenge as standard simulation algorithms are inefficient in handling the negative weights. In particular, the natural representation of mixture variates as associated with latent co
Externí odkaz:
http://arxiv.org/abs/2401.16828
We consider the asymptotic properties of Approximate Bayesian Computation (ABC) for the realistic case of summary statistics with heterogeneous rates of convergence. We allow some statistics to converge faster than the ABC tolerance, other statistics
Externí odkaz:
http://arxiv.org/abs/2311.10080
Publikováno v:
Energy and Built Environment, Vol 5, Iss 5, Pp 641-656 (2024)
In recent years, the integration of digital technologies has grown rapidly in the field of thermal comfort and energy efficiency for buildings. The concept of a digital twin, incorporating multiple digital technologies, has gained increasing attentio
Externí odkaz:
https://doaj.org/article/6ac414ed73b24a558b508308caa4cf37
In some applied scenarios, the availability of complete data is restricted, often due to privacy concerns; only aggregated, robust and inefficient statistics derived from the data are made accessible. These robust statistics are not sufficient, but t
Externí odkaz:
http://arxiv.org/abs/2307.14973