Jaffri Nasir

Jaffri Nasir

Lecturer & Statistician

Universiti Malaysia Kelantan

Biography

Muhammad Jaffri Mohd Nasir is a senior lecturer in Universiti Malaysia Kelantan. He is interested in creating and applying new techniques to improve existing statistical methods for various empirical problems. He also enjoys developing algorithms and learn relevant coding languages.

Interests

  • Time series, econometrics modeling and inference
  • Change-point and threshold estimations
  • Graphical modeling and analysis
  • Markov and stochastic processes
  • Mathematical optimizations in statistics
  • Item response theory
  • Big data and data mining analysis
  • Applied statistics for business, finance, social sciences and epidemiology.

Education

  • PhD. in Mathematics and Statistics, (2020)

    The University of Western Australia, Perth, Australia

  • MSc. in Applied Statistics, (2013)

    Universiti Teknologi MARA, Malaysia.

  • BSc. in Statistics, (2011)

    Universiti Teknologi MARA, Malaysia.

Skills

Others like Julia, C++, Go.

R

Python

Git

Bash

Experience

 
 
 
 
 

Senior Lecturer

Universiti Malaysia Kelantan

Jan 2024 – Present Faculty of Entrepreneurship and Business, Malaysia
 
 
 
 
 

Lecturer

Universiti Malaysia Kelantan

Apr 2021 – Jan 2024 Faculty of Entrepreneurship and Business, Malaysia
 
 
 
 
 

Part time lecturer

Universiti Malaysia Kelantan

Sep 2019 – Feb 2020 Faculty of Hospitality, Tourism and Wellness, Kelantan, Malaysia

Responsibilities include:

  • Taught Business Statistics (HFT20203).
 
 
 
 
 

Junior lecturer

Universiti Malaysia Kelantan

Sep 2013 – Apr 2021 Faculty of Entrepreneurship and Business, Kelantan, Malaysia

Responsibilities include:

  • Preparing for PhD. study
  • Taught Business Mathematics (AFT1103)

Professional Courses

Introduction to Python

Recent Publications

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Spontaneous Preterm Births in Malaysia: Are There Modifiable Antenatal Risk Factors?

Cureus: Journal of Medical Science (Early Release)

Bag-Based Feature-Class Correlation Analysis for Multi-Instance Learning Application

COMPENDIUM by paperASIA, 40(1b), 51-61

Active-Set Based Block Coordinate Descent Algorithm in Group LASSO for Self-Exciting Threshold Autoregressive Model

Statistical Papers (Published Online)

Adaptive LASSO with Coordinate Gradient Descent Algorithm for M-BEKK-ARCH(q)

ICoAIMS 2023 Proceeding (In Production)

Development and validation of informed consent for blood transfusion questionnaire

Asian Journal of Transfusion Science (Published ahead of print)

Contact