Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Bekker, Andriëtte"'
Autor:
Mingione, Marco, Lagona, Francesco, Nagar, Priyanka, von Holtzhausen, Francois, Bekker, Andriette, Schoombie, Janine, Roux, Peter C. le
Motivated by a case study of vegetation patterns, we introduce a mixture model with concomitant variables to examine the association between the orientation of vegetation stripes and wind direction. The proposal relies on a novel copula-based bivaria
Externí odkaz:
http://arxiv.org/abs/2411.11461
Classical statistics deals with determined and precise data analysis. But in reality, there are many cases where the information is not accurate and a degree of impreciseness, uncertainty, incompleteness, and vagueness is observed. In these situation
Externí odkaz:
http://arxiv.org/abs/2406.17884
Autor:
Nagar, Priyanka, Bekker, Andriette, Arashi, Mohammad, Kat, Cor-Jacques, Barnard, Annette-Christi
Biomechanical and orthopaedic studies frequently encounter complex datasets that encompass both circular and linear variables. In most cases the circular and linear variables are (i) considered in isolation with dependency between variables neglected
Externí odkaz:
http://arxiv.org/abs/2312.10159
Accurate wind pattern modelling is crucial for various applications, including renewable energy, agriculture, and climate adaptation. In this paper, we introduce the wrapped Gaussian spatial process (WGSP), as well as the projected Gaussian spatial p
Externí odkaz:
http://arxiv.org/abs/2311.05954
In this paper, we introduce the flexible interpretable gamma (FIG) distribution which has been derived by Weibullisation of the body-tail generalised normal distribution. The parameters of the FIG have been verified graphically and mathematically as
Externí odkaz:
http://arxiv.org/abs/2308.11332
Publikováno v:
In Results in Applied Mathematics May 2024 22
Differential networks (DN) are important tools for modeling the changes in conditional dependencies between multiple samples. A Bayesian approach for estimating DNs, from the classical viewpoint, is introduced with a computationally efficient thresho
Externí odkaz:
http://arxiv.org/abs/2105.13584
Proteins constitute a large group of macromolecules with a multitude of functions for all living organisms. Proteins achieve this by adopting distinct three-dimensional structures encoded by the sequence of their constituent amino acids in one or mor
Externí odkaz:
http://arxiv.org/abs/2011.13027