41 citations · 102 across the 27 of their papers we have counts for
27 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 dependent circular-linear model for multivariate biomechanical data: Ilizarov ring fixator study
Priyanka Nagar, Andriette Bekker, Mohammad Arashi +2
Biomechanical and orthopaedic studies frequently encounter complex datasets that encompass both circular and linear variables. In most cases the circular and linear variables are (…
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…