Search Results - "Arashi, Mohammad"

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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Empowering differential networks using Bayesian analysis by Smith, Jarod, Arashi, Mohammad, Bekker, Andriëtte

“…Differential networks (DN) are important tools for modeling the changes in conditional dependencies between multiple samples. A Bayesian approach for…”
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Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model by Arashi, Mohammad, Rounaghi, Mohammad Mahdi

“…The multi-fractal analysis has been applied to investigate various stylized facts of the financial market including market efficiency, financial crisis, risk…”
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Ridge-Type Pretest and Shrinkage Estimation Strategies in Spatial Error Models with an Application to a Real Data Example by Al-Momani, Marwan, Arashi, Mohammad

“…Spatial regression models are widely available across several disciplines, such as functional magnetic resonance imaging analysis, econometrics, and house…”
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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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QSRR models for predicting the retention indices of VOCs in different datasets using an efficient variable selection method coupled with artificial neural network modeling: ANN-based QSPR modeling by Mozafari, Zeinab, Arab Chamjangali, Mansour, Arashi, Mohammad, Goudarzi, Nasser

“…A combination of the smoothly clipped absolute deviation (SCAD) method and the artificial neural network (ANN) was utilized as a novel methodology (SCAD-ANN)…”
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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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Classification in High Dimension Using the Ledoit–Wolf Shrinkage Method by Lotfi, Rasoul, Shahsavani, Davood, Arashi, Mohammad

“…Classification using linear discriminant analysis (LDA) is challenging when the number of variables is large relative to the number of observations. Algorithms…”
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Multicollinearity and Linear Predictor Link Function Problems in Regression Modelling of Longitudinal Data by Taavoni, Mozhgan, Arashi, Mohammad, Manda, Samuel

“…In the longitudinal data analysis we integrate flexible linear predictor link function and high-correlated predictor variables. Our approach uses B-splines for…”
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Shrinkage estimation of non-negative mean vector with unknown covariance under balance loss by Karamikabir, Hamid, Afshari, Mahmoud, Arashi, Mohammad

“…Parameter estimation in multivariate analysis is important, particularly when parameter space is restricted. Among different methods, the shrinkage estimation…”
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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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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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Hierarchical simultaneous upscaling of porosity and permeability features using the bandwidth of kernel function and wavelet transformation in two dimensions: Application to the SPE-10 model by Azad, Mohammad-Reza, Kamkar-Rouhani, Abolghasem, Tokhmechi, Behzad, Arashi, Mohammad

“…In this paper, two methods of kernel bandwidth and wavelet transform are used for simultaneous upscaling of two features of hydrocarbon reservoir. In the…”
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Enhanced Model Predictions through Principal Components and Average Least Squares-Centered Penalized Regression by Lukman, Adewale F., Adewuyi, Emmanuel T., Alqasem, Ohud A., Arashi, Mohammad, Ayinde, Kayode

“…We address the estimation of regression parameters for the ill-conditioned predictive linear model in this study. Traditional least squares methods often…”
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Small Area Estimation Using a Semiparametric Spatial Model with Application in Insurance by Hosseini, Seyede Elahe, Shahsavani, Davood, Rabiei, Mohammad Reza, Arashi, Mohammad, Baghishani, Hossein

“…Additional information and borrowing strength from the related sites and other sources will improve estimation in small areas. Generalized linear mixed-effects…”
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