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Seyed Nourollah Mousavi

Seyed Nourollah Mousavi

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0002-9208-1308
Education: PhD.
ScopusId: 57206348684
Faculty: Science
Address: Arak University
Phone:

Research activities

Journal Papers
Deep learning for option pricing under Heston and Bates models Ali Bolfakeh, Seyed Nourollah Mousavi, Sima Mashayekhi (2023)
Deep Learning Application in Rainbow Options Pricing Ali Bolfakeh, Seyed Nourollah Mousavi, Sima Mashayekhi (2023)
Investigation of aphids on Rosaceae in Ghamsar region, Kashan Zeynab Maranjian, Alireza Shayestehfar, Seyed Mehdi Talebi, Seyed Nourollah Mousavi (2022)
A robust numerical method for single and multi-asset option pricing Sima Mashayekhi, Seyed Nourollah Mousavi (2022)
Functional logistic regression: a comparison of three methods Seyed Nourollah Mousavi, helle sorensen (2018)
Multinomial functional regression with wavelets and LASSO penalization Seyed Nourollah Mousavi, helle sorensen (2017)
Analysis of juggling data: Registration subject to biomechanical constraints Anders tolver, helle sorensen, martha muller, Seyed Nourollah Mousavi (2014)
Analysis of juggling data: Registration subject to biomechanical constraints Anders tolver, helle sorensen, martha muller, Seyed Nourollah Mousavi (2014)
Optimization and Characterization of Tl(I) Adsorption onto Modified Ulmus carpinifolia Tree Leaves Javad Zolgharnein, Neda Asanjrani, Seyed Nourollah Mousavi (2011)
Multivariate optimization of Cd(II) biosorption onto Ulmus tree leaves from aqueous waste Javad Zolgharnein, Z Adhami, ALI SHAHMORADI, Seyed Nourollah Mousavi, Mohammadreza Sangi (2010)
Optimization of removal of methylene blue by Platanus tree leaves using response surface methodology Javad Zolgharnein, Z Adhami, ALI SHAHMORADI, Seyed Nourollah Mousavi (2010)
Conference Papers
ASIAN RAINBOW OPTION PRICING AND DEEP LEARNING Seyed Nourollah Mousavi, Ali Bolfakeh (2023)
A ROBUST NUMERICAL METHOD FOR MULTI-ASSET OPTION PRICING Sima Mashayekhi, Seyed Nourollah Mousavi (2021)
Classification and prediction using functional logistic regression Seyed Nourollah Mousavi, helle sorensen (2017)
Theses