Statistical inference on machine learning or general non-parametric models

PyTorch implementation of Stein Variational Gradient Descent

GRB triangulation via non-stationary time-series models

Small Variance Asymptotics in Non Parametric Bayesian Clustering

This takes any Pandas or Dask dataframe and returns a resampled Dask dataframe simulating the sampling distribution of your data in one line of code. This is like the rep_sample_n() function from the infer package in R, but on steroids and made for quickly simulating a large number of replicate samples and even with a large number of observation…

This repository contains Materials for Non-Parametric Inference

EDA, Regression Analysis , Classification & Non-Parametric inference Problems