Variational Inference vs MCMC

This project was my first introduction to statistics and was mentored by Prof. Dootika Vats where we covered the following milestones -

  • Got familiarised with Variational Inference & MCMC.
  • Implemented an R program to obtain the posterior distribution for a dataset using both Variational Inference and MCMC.
  • Obtained a contrast among posteriors obtained using both the techniques.
  • Concluded that MCMC is asymptotically exact while VI is not but also computationally expensive.
Data Scientist & Coordinator at Stamatics

I’m a senior undergraduate in Mathematics and Scientific Computing who works in Statistical Inference.