Bayesian Logistic Regression with MCMC

Nov 30, 2019 · 1 min read
projects

Aug 2019 – Nov 2019

  • Estimated the posterior distribution of a parameter in a given model using Bayesian logistic regression.
  • Used MCMC to implement the Metropolis-Hastings algorithm to draw samples from the posterior.
Statistics Bayesian Inference MCMC
Porush Yadav
Authors
Porush Yadav

Hi! I am Porush Yadav. I have graduated from IIT Kanpur with a BS-MS Dual Degree in Mathematics and Scientific Computing. I have Worked at Axis Bank on an image recognition system that leverages neural networks to automate document classification and enhance data extraction. Before that, I interned at Samsung R&D Institute India, eJET systems, and EZ Technologies, where I worked on machine learning applications in signal data compression, recommendation systems, classification systems, and image recognition.

I look forward to leveraging AI and ML expertise to develop impactful solutions that can solve real-life problems.