28 citations · 32 across the 12 of their papers we have counts for
12 papers
Bayesian Semi-Parametric Spatial Dispersed Count Model for Precipitation Analysis
Mahsa Nadifar, Andriette Bekker, Mohammad Arashi +1
The appropriateness of the Poisson model is frequently challenged when examining spatial count data marked by unbalanced distributions, over-dispersion, or under-dispersion. Moreov…
Neutrosophic Birnbaum-Saunders distribution with applications
Mansooreh Razmkhah, Mohammad Arashi, Andriette Bekker +1
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, unce…
A spatial analysis of COVID-19 reported cases in the Gauteng province, South Africa: Identifying wards to be targeted early in future infectious diseases outbreak
Mahdi Salehi, Samuel Manda, Mohammad Arashi +1
The COVID-19 pandemic caused major disruptions and contributed to the loss of livelihoods and income. The pandemic also provided public health and health systems policy shifts towa…
Uncovering a generalised gamma distribution: from shape to interpretation
Matthias Wagener, Andriette Bekker, Mohammad Arashi +1
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 param…
A naıve Bayesian graphical elastic net: driving advances in differential network analysis
J. Smith, A. Bekker, M. Arashi
Differential Networks (DNs), tools that encapsulate interactions within intricate systems, are brought under the Bayesian lens in this research. A novel naıve Bayesian adaptive gra…
A Data Driven Bayesian Graphical Ridge Estimator
J. Smith, M. Arashi, A. Bekker
Bayesian methodologies prioritising accurate associations above sparsity in Gaussian graphical model (GGM) estimation remain relatively scarce in scientific literature. It is well…
Empowering Differential Networks Using Bayesian Analysis
Jarod Smith, Mohammad Arashi, Andriette Bekker
Differential networks (DN) are important tools for modeling the changes in conditional dependencies between multiple samples. A Bayesian approach for estimating DNs, from the class…
Spatial analysis and prediction of COVID-19 spread in South Africa after lockdown
Mohammad Arashi, Andriette Bekker, Mahdi Salehi +4
What is the impact of COVID-19 on South Africa? This paper envisages assisting researchers and decision-makers in battling the COVID-19 pandemic focusing on South Africa. This pape…
Developing multivariate distributions using Dirichlet generator
M. Arashi, A. Bekker, D. de Waal +1
There exist several endeavors proposing a new family of extended distributions using the beta-generating technique. This is a well-known mechanism in developing flexible distributi…
Mastering the body and tail shape of a distribution
Matthias Wagener, Mohammad Arashi
The normal distribution and its perturbation has left an immense mark on the statistical literature. Hence, several generalized forms were developed to model different skewness, ku…
Wishart Generator Distribution
A. Bekker, M. Arashi, J. van Niekerk
The Wishart distribution and its generalizations are among the most prominent probability distributions in multivariate statistical analysis, arising naturally in applied research…
Kernel Oriented Generator Distribution
A. Bekker, M. Arashi
Matrix variate beta (MVB) distributions are used in different fields of hypothesis testing, multivariate correlation analysis, zero regression, canonical correlation analysis and e…