M. Arashi

发表

Kernel estimation in semiparametric mixed effect longitudinal modeling

M. Taavoni, M. Arashi, 2019, Statistical Papers.

A pr 2 01 7 BIG DATA ANALYSIS USING SHRINKAGE

S. Ahmed, M. Arashi, B. Yuzbasi, 2017 .

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High‐Dimension Regime

B. Yüzbaşı, M. Arashi, S. Ejaz Ahmed, 2017, International Statistical Review.

Generalized elliptical distributions

S. Nadarajah, M. Arashi, M. Arashi, 2017 .

Joint Probabilistic Modeling of Wind Speed and Wind Direction for Wind Energy Analysis: A Case Study in Humansdorp and Noupoort

M. Arashi, Priyanka Nagar, A. Bekker, 2020, Sustainability.

Stock price forecasting for companies listed on Tehran stock exchange using multivariate adaptive regression splines model and semi-parametric splines technique

M. Arashi, M. Abbaszadeh, Mohammad Mahdi Rounaghi, 2015 .

New bivariate gamma types with MIMO application

M. Arashi, J. Ferreira, A. Bekker, 2019 .

Advances in Wishart type modeling for channel capacity

M. Arashi, J. Ferreira, A. Bekker, 2020 .

Some theoretical results on tensor elliptical distribution

M. Arashi, 2017, 1709.00801.

Evidential inference based on record data and inter-record times

Mohammad Arashi, Mahdi Emadi, M. Arashi, 2007 .

On the Construction of Preliminary Test Estimator Based on Record Values for the Burr XII Model

R. Arabi Belaghi, M. Arashi, M. Arashi, 2015 .

Mixed two-stage derivative estimator for sensitivity analysis

M. Arashi, Kolsoom Mirabi, 2017 .

Wishart Generator Distribution

A. Bekker, M. Arashi, M. Arashi, 2015, 1502.07300.

On Inverted Matrix Variate Gamma Distribution

S. M. M. Tabatabaey, D. K. Nagar, M. Arashi, 2013 .

Improving efficiency in fuzzy regression modeling by Stein-type shrinkage

M. Arashi, M. Kashani, M. Rabiei, 2019, 1903.00351.

Estimation of the location parameter under LINEX loss function: multivariate case

S. M. M. Tabatabaey, M. Arashi, 2010 .

Constructing Multivariate Distributions via the Dirichlet Generator

M. Arashi, A. Bekker, D. D. de Waal, 2020 .

Developing multivariate distributions using Dirichlet generator

M. Arashi, D. D. Waal, A. Bekker, 2019, 1912.07560.

Shrinkage estimation of non-negative mean vector with unknown covariance under balance loss

M. Arashi, H. Karamikabir, M. Afshari, 2018, Journal of Inequalities and Applications.

Simple regression in view of elliptical models

S. M. M. Tabatabaey, M. Arashi, H. Soleimani, 2012 .

On Mathematical Characteristics of some Improved Estimators of the Mean and Variance Components in Elliptically Contoured Models

M. Arashi, Ehsanes Saleh A.K.M.D., Tabatabaey S.M.M., 2011 .

Preliminary testing derivatives of a linear unified estimator in the logistic regression model

B. Yüzbaşı, M. Arashi, Yasin Asar, 2017, 1708.09004.

Density derivative estimation for stationary and strongly mixing data

M. Arashi, M. Mahmoudi, A. Nezakati, 2020, Alexandria Engineering Journal.

Reliability Analysis Using Ranked Set Sampling

S. Ahmed, M. Arashi, R. Arabi Belaghi, 2018, Proceedings of the Twelfth International Conference on Management Science and Engineering Management.

Shrinkage and penalized estimators in weighted least absolute deviations regression models

S. Hossain, M. Arashi, M. Norouzirad, 2018 .

A sure independence screening procedure for ultra-high dimensional partially linear additive models

M. Arashi, D. Shahsavani, M. Kazemi, 2017, Journal of Applied Statistics.

Generalized Cross-Validation for Simultaneous Optimization of Tuning Parameters in Ridge Regression

M. Arashi, N. Hamzah, N. A. Hamzah, 2020 .

Improved mixed model for longitudinal data analysis using shrinkage method

Y. Sunecher, N. Mamode Khan, M. Arashi, 2018, Mathematical Sciences.

A note on Stein-type shrinkage estimator in partial linear models

H. A. Niroumand, M. Arashi, M. Roozbeh, 2012 .

Ridge regression methodology in partial linear models with correlated errors

H. A. Niroumand, M. Arashi, M. Roozbeh, 2011 .

Kernel Oriented Generator Distribution

M. Arashi, A. Bekker, 2014, 1409.1388.

Integral Representation of Quaternion Elliptical Density and its Applications

M. Arashi, A. Bekker, M. Loots, 2015 .

A class of biased estimators based on QR decomposition

S. Babaie-Kafaki, M. Arashi, M. Roozbeh, 2016 .

Singular Ridge Regression With Stochastic Constraints

M. Arashi, M. Norouzirad, M. Janfada, 2015 .

LAD, LASSO and Related Strategies in Regression Models

B. Yüzbaşı, M. Arashi, S. E. Ahmed, 2019, Advances in Intelligent Systems and Computing.

Some improved estimation strategies in high-dimensional semiparametric regression models with application to riboflavin production data

M. Arashi, M. Roozbeh, 2019 .

On ridge parameter estimators under stochastic subspace hypothesis

B. M. Kibria, M. Arashi, T. Valizadeh, 2017 .

M. Gasparini, M. Arashi, M. Roozbeh, 2012 .

Beta regression in the presence of outliers – A wieldy Bayesian solution

M. Arashi, A. Bekker, J. V. Niekerk, 2018, Statistical methods in medical research.

Combination of least absolute shrinkage and selection operator with Bayesian Regularization artificial neural network (LASSO-BR-ANN) for QSAR studies using functional group and molecular docking mixed descriptors

M. A. Chamjangali, M. Arashi, M. Arab Chamjangali, 2020 .

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

N. Goudarzi, M. Arashi, M. Arab Chamjangali, 2022, Journal of the Iranian Chemical Society.

Estimation of mean vector in elliptical models

M. Arashi, 2012, 1203.1125.

Shrinkage Estimators of the Probability Density Function and their Asymptotic Properties under Association

M. Arashi, A. Nezakati, M. Mahmoudi, 2019 .

Least-trimmed squares: asymptotic normality of robust estimator in semiparametric regression models

M. Arashi, M. Roozbeh, 2017 .

On minimaxity of block thresholded wavelets under elliptical symmetry

S. M. M. Tabatabaey, H. Doosti, M. Arashi, 2011 .

Shrinkage Estimation in Restricted Elliptical Regression Model

S. M. M. Tabatabaey, M. Arashi, Reza Falah, 2018, Journal of the Iranian Statistical Society.

THE PERFORMANCE OF SERIAL CORRELATION PRELIMINARY TEST ESTIMATORS UNDER ASYMMETRY LOSS

M. Arashi, A. Bekker, J. Kleyn, 2015 .

Enhancing wind direction prediction of South Africa wind energy hotspots with Bayesian mixture modeling

M. Arashi, A. Bekker, N. N. Rad, 2022, Scientific Reports.

Spatial analysis and prediction of COVID-19 spread in South Africa after lockdown

M. Salehi, M. Arashi, A. Bekker, 2020, 2005.09596.

A Synergetic R-Shiny Portal for Modeling and Tracking of COVID-19 Data

D. Chen, M. Salehi, M. Arashi, 2021, Frontiers in Public Health.

Regression model with elliptically contoured errors

S. M. M. Tabatabaey, A. Saleh, M. Arashi, 2012, 1203.4427.

Developing a restricted two-parameter Liu-type estimator: A comparison of restricted estimators in the binary logistic regression model

Murat Erisoglu, M. Arashi, Yasin Asar, 2017 .

Wishart ratios with dependent structure: New members of the bimatrix beta type IV

M. Arashi, A. Bekker, J. Roux, 2011 .

Shrinkage ridge regression in partial linear models

M. Arashi, M. Roozbeh, 2016 .

Flexible Factor Model for Handling Missing Data in Supervised Learning

M. Arashi, A. Bekker, Farzane Hashemi, 2022, Communications in Mathematics and Statistics.

Differenced-Based Double Shrinking in Partial Linear Models

M. Arashi, M. Norouzirad, M. Roozbeh, 2020 .

Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model

M. Arashi, Mohammad Mahdi Rounaghi, 2022, Future Business Journal.

Estimation in partial linear model with spline modal function

M. Arashi, D. Shahsavani, P. Rodrigues, 2019, Commun. Stat. Simul. Comput..

Improved point and interval estimation of the stress–strength reliability based on ranked set sampling

M. Arashi, R. Arabi Belaghi, A. Safariyan, 2018, Statistics.

Preliminary testing derivatives of a linear unified estimator in the logistic regression model

M. Arashi, Yasin Asar, Jibo Wu, 2017, 1708.09004.

A Semi-parametric Density Estimation with Application in Clustering

M. Salehi, M. Arashi, A. Bekker, 2022, Journal of Classification.

Rank-based Liu regression

B. Yüzbaşı, M. Arashi, M. Norouzirad, 2018, Computational Statistics.

The distribution of the Liu-type estimator of the biasing parameter in elliptically contoured models

S. Nadarajah, M. Arashi, F. Akdeniz, 2017 .

Bimatrix Variate Beta Type IV Distribution: Relation to Wilks's Statistic and Bimatrix Variate Kummer-Beta Type IV Distribution

M. Arashi, A. Bekker, J. Roux, 2011 .

Weighted distributions of eigenvalues

J. van Niekerk, M. Arashi, A. Bekker, 2019, Linear Algebra and its Applications.

Classification in High Dimension Using the Ledoit–Wolf Shrinkage Method

M. Arashi, D. Shahsavani, Rasoul Lotfi, 2022, Mathematics.

Mastering the Body and Tail Shape of a Distribution

Mohammad Arashi, Matthias Wagener, Andriette Bekker, 2019, Mathematics.

Larceny trend in some areas of Mauritius via a bivariate INAR(1) model with dispersed COM-Poisson innovations

Yuvraj Sunecher, Vandna Jowaheer, Mohammad Arashi, 2018 .

A Primer on a Flexible Bivariate Time Series Model for Analyzing First and Second Half Football Goal Scores: The Case of the Big 3 London Rivals in the EPL

M. Bourguignon, N. M. Khan, Y. Sunecher, 2018, Annals of Data Science.

Möbius Transformation-Induced Distributions Provide Better Modelling for Protein Architecture

W. Schubert, M. Arashi, A. Bekker, 2021, Mathematics.

Preliminary test estimation in system regression models in view of asymmetry

Sollie M. Millard, Mohammad Arashi, Judy Kleyn, 2018, Comput. Stat..

Coming Together of Bayesian Inference and Skew Spherical Data

Christophe Ley, M. Arashi, A. Bekker, 2022, Frontiers in Big Data.

Improved confidence intervals for the scale parameter of Burr XII model based on record values

S. M. M. Tabatabaey, Mohammad Arashi, Reza Arabi Belaghi, 2014, Comput. Stat..

Improved estimators of the distribution function based on lower record values

M. Arashi, M. Arashi, S. M. M. Tabatabaey, 2015 .

Feasible ridge estimator in partially linear models

Mohammad Arashi, Mahdi Roozbeh, M. Arashi, 2013, J. Multivar. Anal..

A Simulation Study on Some Restricted Ridge Regression Estimators

B. M. Golam Kibria, Mohammad Arashi, S. Najarian, 2013, Commun. Stat. Simul. Comput..

High-dimensional Generalized Additive Mixed Model with Longitudinal Data

M. Taavoni, M. Arashi, 2022, 2203.06225.

Performance of Kibria’s methods in partial linear ridge regression model

Mohammad Arashi, M. Arashi, T. Valizadeh, 2015 .

Restricted LASSO and Double Shrinking

A. Saleh, M. Arashi, M. Norouzirad, 2015, 1505.02913.

Protein Structure Parameterization via Mobius Distributions on the Torus.

W. Schubert, M. Arashi, A. Bekker, 2020, 2011.13027.

A Unified Model for Skewed Circular Data

Andriette Bekker, Mohammad Arashi, Najmeh Nakhaei Rad, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Multivariate t semiparametric mixed-effects model for longitudinal data with multiple characteristics

Tsung-I Lin, M. Taavoni, M. Arashi, 2020 .

Distribution of the product of determinants of noncentral bimatrix beta variates

Andriëtte Bekker, Mohammad Arashi, J. J. J. Roux, 2012, J. Multivar. Anal..

Exact nonnull distribution of Wilks' statistic: The ratio and product of independent components

Andriëtte Bekker, Mohammad Arashi, J. J. J. Roux, 2011, J. Multivar. Anal..

Empowering differential networks using Bayesian analysis

Andriëtte Bekker, Mohammad Arashi, Jarod Smith, 2021, PloS one.

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

B. Tokhmechi, A. Kamkar-Rouhani, M. Arashi, 2021, Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles.

Multiresolution simultaneous upscaling of two features of the reservoir using the bandwidth of the kernel function and wavelet transformation

Behzad Tokhmechi, Mohammad Reza Azad, Abolghasem Kamkar Rouhani, 2019 .

Feasible generalised least squares estimators in serially correlated error models from an asymmetry viewpoint

M. Arashi, A. Bekker, J. Coetsee, 2013 .

Ridge regression and its applications in genetic studies

M. Gasparini, M. Arashi, N. A. Hamzah, 2021, PloS one.

Estimation in multiple regression model with elliptically contoured errors under MLINEX loss

Shahjahan Khan, Mohammad Arashi, S. M. M. Tabatabaey, 2008 .

Preliminary testing of the Cobb–Douglas production function and related inferential issues

Andriëtte Bekker, Mohammad Arashi, J. Kleyn, 2017, Commun. Stat. Simul. Comput..

New Ridge Regression Estimator in Semiparametric Regression Models

Mohammad Arashi, Mahdi Roozbeh, M. Arashi, 2016, Commun. Stat. Simul. Comput..

Feasible Ridge Estimator in Seemingly Unrelated Semiparametric Models

Mohammad Arashi, Mahdi Roozbeh, M. Arashi, 2014, Commun. Stat. Simul. Comput..

Semiparametric Ridge Regression Approach in Partially Linear Models

Mohammad Arashi, Mahdi Roozbeh, H. A. Niroumand, 2010, Commun. Stat. Simul. Comput..

Properties of the complex bimatrix variate beta distribution

D. K. Nagar, M. Arashi, Z. F. Far, 2011 .

Suggestion of active 3-chymotrypsin like protease (3CLPro) inhibitors as potential anti-SARS-CoV-2 agents using predictive QSAR model based on the combination of ALASSO with an ANN model

N. Goudarzi, M. A. Chamjangali, M. Arashi, 2021, SAR and QSAR in environmental research.

A gamma-mixture class of distributions with Bayesian application

Andriëtte Bekker, Janet van Niekerk, Mohammad Arashi, 2017, Commun. Stat. Simul. Comput..

From Symmetry to Asymmetry on the Disc Manifold: Modeling of Marion Island Data

Andriëtte Bekker, Mohammad Arashi, Priyanka Nagar, 2019, Symmetry.

Fuzzy ridge regression with fuzzy input and output

Mohammad Arashi, Mohammad Reza Rabiei, Masoumeh Farrokhi, 2019, Soft Computing.

Multiple Regression Model

A. K. Md. Ehsanes Saleh, Mohammad Arashi, S. M. M. Tabatabaey, 2005 .

Penalized regression via the restricted bridge estimator

Mohammad Arashi, Fikri Akdeniz, Bahadir Yüzbasi, 2019, Soft Computing.

On the restricted almost unbiased Liu estimator in the logistic regression model

M. Arashi, Yasin Asar, Jibo Wu, 2017, 1707.07158.

Robust biased estimators for Poisson regression model: Simulation and applications

V. Prokaj, M. Arashi, A. Lukman, 2023, Concurr. Comput. Pract. Exp..

Restricted ridge estimator in the logistic regression model

Jibo Wu, Mohammad Arashi, Yasin Asar, 2017, Commun. Stat. Simul. Comput..

A new improved Liu estimator for the QSAR model with inverse Gaussian response

M. Arashi, A. Lukman, B. G. Kibria, 2022, Communications in Statistics - Simulation and Computation.

Stein-type improvement under stochastic constraints: Use of multivariate Student-t model in regression

Mohammad Arashi, S. M. M. Tabatabaey, M. Arashi, 2008 .

High-dimensional generalized semiparametric model for longitudinal data

M. Arashi, M. Taavoni, M. Taavoni, 2020, Statistics.

Sibling rivalry within inverse Weibull family to predict the COVID-19 spread in South Africa

M. Arashi, A. Bekker, Farzane Hashemi, 2021, Communications in Statistics: Case Studies, Data Analysis and Applications.

Application of the LAD-LASSO as a dimensional reduction technique in the ANN-based QSAR study: Discovery of potent inhibitors using molecular docking simulation

N. Goudarzi, M. A. Chamjangali, M. Arashi, 2022, Chemometrics and Intelligent Laboratory Systems.

A fuzzy penalized regression model with variable selection

Pierpaolo D'Urso, Livia De Giovanni, Mohammad Arashi, 2021, Expert Syst. Appl..

Uncovering a generalised gamma distribution: from shape to interpretation

A. Punzo, M. Arashi, A. Bekker, 2023, 2308.11332.

Variable Selection in Semiparametric Mixed Effect Model for High-Dimension Longitudinal Data

Mohammad Arashi, Mozhgan Taavoni, M. Taavoni, 2021, Journal of Statistical Sciences.

Regularization in Generalized Semiparametric Mixed-Effects Model for Longitudinal Data

M. Taavoni, M. Arashi, 2019, 1909.08498.

Simultaneous Variable Selection and Estimation in Generalized Semiparametric Mixed Effects Modeling of Longitudinal Data

M. Arashi, Mozghan Taavoni, 2020 .

Double shrunken selection operator

Bahadir Yüzbasi, M. Arashi, B. Yüzbaşı, 2016, Commun. Stat. Simul. Comput..

SLASSO: a scaled LASSO for multicollinear situations

Mohammad Arashi, Yasin Asar, Bahadır Yüzbaşı, 2021 .

Improved preliminary test and Stein-rule Liu estimators for the ill-conditioned elliptical linear regression model

Saralees Nadarajah, B. M. Golam Kibria, Mohammad Arashi, 2014, J. Multivar. Anal..

Preliminary test and Stein estimations in simultaneous linear equations

Mohammad Arashi, M. Arashi, 2012 .

Pitting the Gumbel and logistic growth models against one another to model COVID-19 spread

M. Arashi, A. Bekker, Keunyoung Yoo, 2020, medRxiv.

Feasible Stein-Type and Preliminary Test Estimations in the System Regression Model

M. Arashi, F. Marques, M. Norouzirad, 2022, Statistics, Optimization & Information Computing.

Shrinkage Ridge Estimators in Linear Regression

Mohammad Arashi, S. M. M. Tabatabaey, M. Hassanzadeh Bashtian, 2014, Commun. Stat. Simul. Comput..

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 (preprint)

M. Arashi, A. Bekker, Mahdi Salehi, 2023, 2311.17430.

A note on linearly constrained Bayes estimator in elliptical models

Saralees Nadarajah, Daya K. Nagar, Mohammad Arashi, 2021, J. Comput. Appl. Math..

Uncovering a generalised gamma distribution: from shape to interpretation

A. Punzo, M. Arashi, A. Bekker, 2023, 2308.11332.

Matrix-Variate Beta Generator - Developments and Application

M. Arashi, A. Bekker, J. V. Niekerk, 2021, Journal of the Iranian Statistical Society.

Wishart distributions: Advances in theory with Bayesian application

Andriëtte Bekker, Janet van Niekerk, Mohammad Arashi, 2017, J. Multivar. Anal..

WEIGHTED-TYPE WISHART DISTRIBUTIONS WITH APPLICATION

M. Arashi, J. V. Niekerk, 2017 .

ATINER's Conference Paper Series STA2014-1114

M. Arashi, Shayan Shokri, A. Iranmanesh, 2014 .

2 Wishart Generator Distribution

M. Arashi, A. Bekker, J. V. Niekerk, 2021 .

Compositional Data Modeling through Dirichlet Innovations

M. Arashi, A. Bekker, S. Makgai, 2021, Mathematics.

Testing students’ e-learning via Facebook through Bayesian structural equation modeling

Sedigheh Moghavvemi, Mohammad Arashi, Parastoo Babashamsi, 2017, PloS one.

On a generalization of the test of endogeneity in a two stage least squares estimation

M. Arashi, A. Sheikhi, Fatemeh Bahador, 2020, Journal of applied statistics.

Liu regression after random forest for prediction and modeling in high dimension

Z. Algamal, M. Arashi, A. Lukman, 2022, Journal of Chemometrics.

Estimation in multivariate t$t$ linear mixed models for longitudinal data with multiple outputs: Application to PBCseq data analysis

M. Taavoni, M. Arashi, 2021, Biometrical journal. Biometrische Zeitschrift.

Rank-based Liu regression

S. Ejaz Ahmed, Mohammad Arashi, Mina Norouzirad, 2018, Comput. Stat..

On shrinkage and selection: ANOVA model

B. M. Kibria, A. Saleh, M. Arashi, 2018 .

LLASSO: A linear unified LASSO for multicollinear situations

M. Arashi, B. Yuzbasi, Yasin Asar, 2017, 1710.04795.

A dependent circular-linear model for multivariate biomechanical data: Ilizarov ring fixator study

M. Arashi, Cor-Jacques Kat, Priyanka Nagar, 2023, Statistical methods in medical research.