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Introduction to Bayesian Hierarchical Methods for the Alzheimer`s Disease using STAN language



I am graduate student in Applied Mathematics at York university, Toronto, Ontario , Canada. Previously , I had done another graduate degree in Theoretical Particle Physics which after that I joined a research team at the Montreal Neurological Institute and did research on Alzheimer`s disease and application of the AI in the diagnosis of the disorder before the initial symptoms of the dementia from the PET scans.
Currently, I do both conduct a research on the application of the AI in the early diagnosis of cancer from the scattering coefficients of the lasers from the cancerous tissues.
and, I do teach mathematics and Physics at a college which recently I won the Canadian Meritorious Award for advising a team to win the first place at the 5th Annual Mathematical Modelling Challenge 2020.

Below is the list of the courses which I made at the Udemy:

1) Basics of the Non_Bayesian Regression Analysis
course number: 3470160

2) Bayesian Modelling with Regression
course number : 3384074

3)Probabilistic Programming with STAN
course number : 3393992

4) Hierarchical Bayesian Methods for Alzheimer`s Disease
course number : 3438626

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