Mina Aminghafari - Amirkabir University of Technology

Supervised MSc Theses

#

Thesis title

By

Date

1

Prediction by time series and learning machine and its applications

ZAHRA GHARAHZADEH
Other Supervisor: OMID NAGHSHINE ARJMAND

2024 Feb

2

Transaction Fraud Detection Based on Total Order Relation and Different Behavioral Patterns

SEYED ABOLFAZL SEYED JAVADEIN & Adel Mohammadpour
Other Supervisor:

2021 Oct

3

Asset Price forecasting Using Recrrent Neural Netwoks

HAMED VAHEB & Erfan Salavati
Other Supervisor:

2020 Jul

4

linear regression for functional data

YASAMAN TAHERNEZHAD

2019 Oct

5

Learning with Bayesian Additive Regression Trees for High Dimensional Data

NAYIRI GALESTIAN POUR

2019 Sep

6

Nonparametric Clustering Methods

SEYED MOHAMMAD EBRAHIMI

2019 Sep

7

Time series clustering

MOHAMMAD EZATI

2019 Sep

8

Time series forecasting using neural network and wavelet transform

ZAHRA AMADEH RAHIM ABADI

2018 Feb

9

Determining the number of clusters in clustering

NEGARSADAT HASHEMIREZVANI

2018 Feb

10

Nonparametric regression with truncated data

ATEFEH SADAT MOUSAVI

2018 Feb

11

Lasso Regression and its applications to High-Dimensional Data

MEHRAN ABBASI

2017 Feb

12

Bayesian Inference Based On Record Values

AFSHIN BAHRAMPOUR

2017 Feb

13

study of Efficient agglomerative hierarchical clustering

FATEME FATHI & Adel Mohammadpour
Other Supervisor:

2016 Oct

14

Comparison of Time Series Forecasting based on Neural Networks and ARIMA

SOMAYEH SHAMSHIRI
Other Supervisor: Adel Mohammadpour

2016 Feb

15

fuzzy nonparameteric regression using wavelets

MOHAMMAD JAVAD DAVOUDABADI

2015 Oct

16

Comparing E-Bayesian with empirical and hierachical Bayes

REZA SHAMSALDDINI LORI & Adel Mohammadpour
Other Supervisor:

2015 Oct

17

Methods of simultaneous hypothesis testing for microarray data

SAMANE AZIZIAN

2014 Oct

18

Comparing singular spectrum analysis with nonparametric time series forecasting methods

FARAHNAZ TAYEBI SEMNANI

2014 Oct

19

Multivariate time series and its applications

MARYAM ABBASI

2013 Oct

20

hypothesis testing based on entropy and its applications

MARYAM HEMATTI

2013 Oct

21

Regression with stable errors using ranked set sampling

ROBAB KOSARI MEHR

2013 Oct

22

fuzzy clustering and artificial network

NAHID GHADERI

2013 Feb

23

model selection for high dimensionaldata

NARGES SOHRABI

2012 Nov

24

bayesian estimation based on record values

MEHRNAZ KAVIANI

2012 Nov

25

Clustering and some other methods for anomaly detection

FERDOS GORJI

2011 Nov

26

The methods of independent source separation based on independent component analysis

RAHELE AJORLO

2011 Oct

27

Parameters estimation of generalized exponential distribution

ALI REKABDAR

2011 Feb

28

Comparing methods of forcasting time series with non- gaussian data

ALI ABOLHASSANI

2011 Feb

29

Forcasting nonstationary time series by wavelets and splines and its application for electricity load consumption

SHOKOUFEH ROOSTA

2011 Feb

30

using wavelets in density estimation

HAMED MIRZAIE

2010 Jan

31

Protein function prediction using data mining techniques

SAHAR MADANI
Other Supervisor: MASOUD POURMAHDIAN

2009 Dec

32

functional forecasting using wavelets

SOMAYEH MIREH

2009 Nov

33

Anew class of skew - cauchy distributions

BAHAREH HEIDARNIA DELKHOSH & Adel Mohammadpour
Other Supervisor:

2008 Dec

34

Methods of eliminating Nuisance parameters

SAMIRA ZAMANI
Other Supervisor: Adel Mohammadpour

2008 Nov

35

Is the Internet survey reliable

SHOLE DEHGHANI
Other Supervisor: Adel Mohammadpour

2008 Nov

36

Wavelets and their applications in estimation and data mining

MARYAM SOHRABI
Other Supervisor: Adel Mohammadpour

2008 Nov

Books

#

Title

Author(s)

Publisher country

publication date

version

1

Time series forecasting from elementary to advanced with applications in R

M. Aminghafari

Iran

1

2

.

M. Aminghafari, A. Abolhassani

Iran

1

3

Applied Time series

M. Aminghafari

Iran

1

Journal Papers

1

A. Ghatari, M. Aminghafari, O. Naghshine Arjmand, "SCAD Regression Model Selection with Information Criteria for Multivariate Response Models", Aut Journal of Mathematics and Computing, 2024 Jun vol. 6, no. 2, pp.101-108, 2024.

2

A. Ghatari, M. Aminghafari, A. Mohammadpour, "A New Type of LASSO Regression Model with Cauchy Noise", Journal of Agricultural Biological and Environmental Statistics, 2023 Oct vol. 29, no. 1, pp.277-300, 2023.

3

A. Ghatari, M. Aminghafari, "A new type of generalized information criterion for regularization parameter selection in penalized regression with application to treatment process data", Journal of Biopharmaceutical Statistics, 2023 Jul vol. 34, no. 4, pp.488-512, 2023.

4

M. Aminghafari, F. Gorji, "Robust Nonparametric Regression for Heavy-Tailed Data", Journal of Agricultural Biological and Environmental Statistics, 2019 Dec vol. 0, no. 0, pp.1-18, 2019.

5

F. Gorji, M. Aminghafari, "Multivariate Denoising and Missing Data Estimation for Heavy-Tailed Signals", Fluctuation and Noise Letters, 2018 Dec vol. 18, no. 3, pp.1-18, 2018.

6

M. Ghanbarzadeh, M. Aminghafari, "A novel wavelet artificial neural networks method to predict non-stationary time series", Communications In Statistics-Theory and Methods, 2018 Dec vol. 0, no. 0, pp.1-15, 2018.

7

M. Salehi, A. Mohammadpour, Mohammad Mohammadi, M. Aminghafari, "A modified F-test for hypothesis testing in large-scale data", Journal of Biopharmaceutical Statistics, 2018 Jan vol. 0, no. 0, pp.1-12, 2018.

8

M. Salehi, A. Mohammadpour, Mohammad Mohammadi, M. Aminghafari, "A Modified Two-Sample t-Test based on Permutation Method for Large-Scale Data", Communications In Statistics-Simulation and Computation, 2017 Oct vol. 0, no. 1, pp.1-10, 2017.

9

M.J. Davoudabadi, M. Aminghafari, "A Fuzzy-Wavelet Denoising Technique with Applications to Noise Reduction in Audio Signals", Journal of Intelligent and Fuzzy Systems, 2017 Sep vol. 33, no. 4, pp.2159-2169, 2017.

10

F. Gorji, M. Aminghafari, "Denoising Heavy-Tailed Data using a Novel Robust Nonparametric Method based on Quantile Regression", Fluctuation and Noise Letters, 2017 Sep vol. 16, no. 3, pp.1-26, 2017.

11

M. Ashkartizabi, M. Aminghafari, "Functional Data Clustering using K-means and Random Projection with Applications to Climatological Data", Stochastic Environmental Research and Risk Assessment, 2017 Aug vol. 31, no. 7, pp.1-22, 2017.

12

M. Ashkartizabi, M. Aminghafari, A. Mohammadpour, "Square roots of 3*3 matrices", Calcolo, 2016 Aug vol. 0, no. 0, pp.1-13, 2016.

13

M. Ghanbarzadeh, M. Aminghafari, "A new hybrid multiscale SSA prediction of non-stationary time series", Fluctuation and Noise Letters, 2016 Mar vol. 15, no. 1, pp.1-20, 2016.

14

M. Ghanbarzadeh, M. Aminghafari, "A Wavelet Characterization of Continuous-Time Periodically Correlated Processes with Application to Simulation", Journal of Time Series Analysis, 2016 Feb vol. 0, no. 0, pp.1-22, 2016.

15

M. Ghanbarzadeh, M. Aminghafari, "Prediction of periodically correlated processes by wavelet transform and multivariate methods with applicatioions to climatological data", Theoretical and Applied Climatology, 2014 Jun vol. 116, no. 8, pp.1-12, 2014.

16

Mona Shokrypour, M. Aminghafari, "Wavelet-based estimation for multivariate stable laws", Journal of Statistical Computation and Simulation, 2013 Dec vol. ., no. 1, pp.1-17, 2013.

17

Mona Shokrypour, A. Mohammadpour, M. Aminghafari, "Parametric Empirical Bayes Test and Its Application to Selection of Wavelet Threshold", Journal of Statistical Research of Iran, 2013 Jan vol. 9, no. 2, pp.133-146, 2013.

18

V. Nassiri, M. Aminghafari, Ali Mohammad-djafari, "Solving noisy ICA using Multivariate wavelet denoising with an application to noisy latent variables regression", Communications In Statistics-Theory and Methods, 2012 Dec vol. 1, no. 2, pp.1-15, 2012.

19

S. Hoseini Shojaei, M. Aminghafari, A. Mohammadpour, "On the Expected Absolute Value of a Bivariate Normal Distribution", Journal of Statistical Theory and Applications, 2012 Nov vol. 11, no. 4, pp.371-377, 2012.

20

M. Aminghafari, Jean-michel Poggi, "Non-Stationary Time Series Forecasting Using Wavelets And Kernel Smoothing", Communications In Statistics-Theory and Methods, 2012 Jan vol. 41, no. 3, pp.485-499, 2012.

21

M. Aminghafari, S. Roosta, "Using Wavelets and Splines to Forcast Non-stationary Time Series", Journal of Statistical Research of Iran, 2010 Dec vol. 7, no. 2, pp.213-222, 2010.

22

S. Mireh, M. Aminghafari, "Some new methods for time series prediction by wavelets", Journal of Statistical Research of Iran, 2009 Jul vol. 6, no. 1, pp.73-91, 2009.

23

M. Aminghafari, Jean-michel Poggi, "Forecasting Time Series Using Wavelets", , 2007 Sep vol. , no. 5, , 2007.

24

M. Aminghafari, A. Mohammadpour, "An Alternative Approach to the Parametric Empirical Bayes Selection of Wavelet Thresholding", Bayesian Inference and Maximum Entropy Methods In Science and Engineering, 2006 Jul vol. 1, no. 872, , 2006.

25

M. Aminghafari, Nathalie Cheze, Jean-michel Poggi, "Multivariate Denoising using Wavelets and Principal Component Analysis", Computational Statistics and Data Analysis, 2006 May vol. , no. 50, , 2006.

26

M. Aminghafari, A. Mohammadpour, "An Approach to Prior Selection", Bayesian Inference and Maximum Entropy Methods In Science and Engineering, 2005 Aug vol. 0, no. 803, , 2005.

27

M. Aminghafari, "Ondelettes et ACP pour le Debrutage de Signaux Multidimensionnels", , 2004 Jun vol. 0, no. 0, , 2004.

28

M. Aminghafari, A. Mohammadpour, "Application of Bayes Estimation for Testing Exchangeable Normal Parameters", Bayesian Inference and Maximum Entropy Methods In Science and Engineering, 2004 May vol. 0, no. 735, , 2004.

Taught Courses

#

Course title

Description

Headlines

Date

1

Introduction to Probability

4001

2

Special Topics (Statistical Research Methods)

3992

3

Seminar

3991

4

Time Series (I)

3962

5

Statistical Technique

3962