Search Results - "Bekker, Andriette"

Enhancing wind direction prediction of South Africa wind energy hotspots with Bayesian mixture modeling by Rad, Najmeh Nakhaei, Bekker, Andriette, Arashi, Mohammad

“…Wind energy production depends not only on wind speed but also on wind direction. Thus, predicting and estimating the wind direction for sites accurately will…”
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A theoretical framework for Landsat data modeling based on the matrix variate mean-mixture of normal model by Naderi, Mehrdad, Bekker, Andriette, Arashi, Mohammad, Jamalizadeh, Ahad

“…This paper introduces a new family of matrix variate distributions based on the mean-mixture of normal (MMN) models. The properties of the new matrix variate…”
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A dependent circular-linear model for multivariate biomechanical data: Ilizarov ring fixator study by 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 (i) the circular…”
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A Semi-parametric Density Estimation with Application in Clustering by Salehi, Mahdi, Bekker, Andriette, Arashi, Mohammad

“…The idea behind density-based clustering is to associate groups to the connected components of the level sets of the density of the data to be estimated by a…”
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Beta regression in the presence of outliers – A wieldy Bayesian solution by Niekerk, Janet van, Bekker, Andriette, Arashi, Mohammad

“…Real phenomena often leads to challenges in data. One of these is outliers or influential values. Especially in a small sample, these values can have a major…”
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Uncovering a generalised gamma distribution: From shape to interpretation by Wagener, Matthias, Bekker, Andriette, Arashi, Mohammad, Punzo, Antonio

“…In this paper, we introduce the flexible interpretable gamma (FIG) distribution, with origins in Weibulisation, power weighting, and a stochastic…”
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Evaluating prediction of COVID-19 at provincial level of South Africa: a statistical perspective by Arashi, Mohammad, Bekker, Andriette, Salehi, Mahdi, Millard, Sollie, Botha, Tanita, Golpaygani, Mohammad

“…What is the impact of COVID-19 on South Africa? This paper envisages to assist researchers in battling of the COVID-19 pandemic focusing on South Africa. This…”
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Skew Generalized Normal Innovations for the AR(p) Process Endorsing Asymmetry by Neethling, Ané, Ferreira, Johan, Bekker, Andriëtte, Naderi, Mehrdad

“…The assumption of symmetry is often incorrect in real-life statistical modeling due to asymmetric behavior in the data. This implies a departure from the…”
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Flexible Factor Model for Handling Missing Data in Supervised Learning by Bekker, Andriette, Hashemi, Farzane, Arashi, Mohammad

“…This paper presents an extension of the factor analysis model based on the normal mean–variance mixture of the Birnbaum–Saunders in the presence of…”
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Wishart distributions: Advances in theory with Bayesian application by Bekker, Andriëtte, van Niekerk, Janet, Arashi, Mohammad

“…In this paper, we generalize the Wishart distribution utilizing a fresh approach that leads to the hypergeometric Wishart generator distribution with the…”
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High-Dimensional Precision Matrix Estimation through GSOS with Application in the Foreign Exchange Market by Kheyri, Azam, Bekker, Andriette, Arashi, Mohammad

“…This article studies the estimation of the precision matrix of a high-dimensional Gaussian network. We investigate the graphical selector operator with…”
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Series representations for densities functions of a family of distributions—Application to sums of independent random variables by Marques, Filipe J., Loots, M. Theodor, Bekker, Andriëtte

“…Series representations for several density functions are obtained as mixtures of generalized gamma distributions with discrete mass probability weights, by…”
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Tsallis and Other Generalised Entropy Forms Subject to Dirichlet Mixture Priors by Ferreira, Johannes T., Botha, Tanita, Bekker, Andriette

“…Entropy indicates a measure of information contained in a complex system, and its estimation continues to receive ongoing focus in the case of multivariate…”
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A gamma-mixture class of distributions with Bayesian application by van Niekerk, Janet, Bekker, Andriëtte, Arashi, Mohammad

“…In this article, a subjective Bayesian approach is followed to derive estimators for the parameters of the normal model by assuming a gamma-mixture class of…”
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Mastering the Body and Tail Shape of a Distribution by Wagener, Matthias, Bekker, Andriette, Arashi, Mohammad

“…The normal distribution and its perturbation have left an immense mark on the statistical literature. Several generalized forms exist to model different…”
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Alternative Dirichlet Priors for Estimating Entropy via a Power Sum Functional by Botha, Tanita, Ferreira, Johannes, Bekker, Andriette

“…Entropy is a functional of probability and is a measurement of information contained in a system; however, the practical problem of estimating entropy in…”
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A Bivariate Beta from Gamma Ratios for Determining a Potential Variance Change Point: Inspired from a Process Control Scenario by Human, Schalk W., Bekker, Andriette, Ferreira, Johannes T., Mijburgh, Philip Albert

“…Within statistical process control (SPC), normality is often assumed as the underlying probabilistic generator where the process variance is assumed equal for…”
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Compositional Data Modeling through Dirichlet Innovations by Makgai, Seitebaleng, Bekker, Andriette, Arashi, Mohammad

“…The Dirichlet distribution is a well-known candidate in modeling compositional data sets. However, in the presence of outliers, the Dirichlet distribution…”
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Coming Together of Bayesian Inference and Skew Spherical Data by Nakhaei Rad, Najmeh, Bekker, Andriette, Arashi, Mohammad, Ley, Christophe

“…This paper presents Bayesian directional data modeling via the skew-rotationally-symmetric Fisher-von Mises-Langevin (FvML) distribution. The prior…”
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Capturing a Change in the Covariance Structure of a Multivariate Process by Bekker, Andriette, Ferreira, Johannes T., Human, Schalk W., Adamski, Karien

“…This research is inspired from monitoring the process covariance structure of q attributes where samples are independent, having been collected from a…”
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