Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Janet van Niekerk"'
Publikováno v:
Royal Society Open Science, Vol 11, Iss 1 (2024)
Statistical analysis based on quantile methods is more comprehensive, flexible and less sensitive to outliers when compared to mean methods. Joint disease mapping is useful for inferring correlation between different diseases. Most studies investigat
Externí odkaz:
https://doaj.org/article/8576c69b18a64329918b27f34f323e02
Publikováno v:
Journal of Statistical Software, Vol 100, Pp 1-28 (2021)
The INLA package provides a tool for computationally efficient Bayesian modeling and inference for various widely used models, more formally the class of latent Gaussian models. It is a non-sampling based framework which provides approximate results
Externí odkaz:
https://doaj.org/article/919714aae88f4c4da65f3c4d39af594d
Autor:
Janet van Niekerk, Håvard Rue
Publikováno v:
Revstat Statistical Journal, Vol 19, Iss 1 (2021)
Skewed probit regression is but one example of a statistical model that generalizes a simpler model, like probit regression. All skew-symmetric distributions and link functions arise from symmetric distributions by incorporating a skewness parameter
Externí odkaz:
https://doaj.org/article/c56ca18171ba4c75a38401e8acfd86c9
Autor:
Jacobus F. Benson, Johan P. Schoeman, Frans J. Venter, James A. Ker, Gareth E. Zeiler, Lynette Bester, Janet van Niekerk, Gregory R. Tintinger
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 5 (2019)
The effect of aortic baroreceptor stimulation on blood pressure manipulation was assessed using the goat species Capra aegagrus hircus. The aim of this study was to manipulate blood pressure with future intention to treat high blood pressure in human
Externí odkaz:
https://doaj.org/article/60cde90b48d34f71b71fdd3cbab190e8
Publikováno v:
Revstat Statistical Journal, Vol 15, Iss 2 (2017)
In this paper, we consider a general framework for constructing new valid densities regarding a random matrix variate. However, we focus specifically on the Wishart distribution. The methodology involves coupling the density function of the Wishart d
Externí odkaz:
https://doaj.org/article/8801e79d00714664a7374f7741c92850
Autor:
Denis Rustand, Janet van Niekerk, Håvard Rue, Christophe Tournigand, Virginie Rondeau, Laurent Briollais
Publikováno v:
Biometrical Journal. 65
Publikováno v:
Statistics and Computing. 33
There is a growing demand for performing larger-scale Bayesian inference tasks, arising from greater data availability and higher-dimensional model parameter spaces. In this work we present parallelization strategies for the methodology of integrated
Publikováno v:
Journal of the Iranian Statistical Society. 20:289-306
The authors would like to hereby acknowledge the support of the StatDisT group. This work is based upon research supported by the National Research foundation of South Africa, Reference: SRUG 190308422768 grant number 120839, IFR170227223754 grant nu
Publikováno v:
Computational Statistics & Data Analysis. 181:107692
Integrated Nested Laplace Approximations (INLA) has been a successful approximate Bayesian inference framework since its proposal by Rue et al. (2009). The increased computational efficiency and accuracy when compared with sampling-based methods for
Publikováno v:
Sankhya A. 85:102-128
Joint models have received increasing attention during recent years with extensions into various directions; numerous hazard functions, different association structures, linear and non-linear longitudinal trajectories amongst others. Here, we present