regression discontinuity design; incumbency effect; advanced econometrics
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Updated
Sep 4, 2016 - Jupyter Notebook
regression discontinuity design; incumbency effect; advanced econometrics
Multi-dimensional Functional Principal Component Analysis
Nonparametric regression and prediction using the highly adaptive lasso algorithm
A collection of algorithms on the subjects written in R
Lecture on Local Polynomial Regression given for the Statistical Machine Learning exam at University of Trieste
Classic metrics methods used in machine learning
My research
Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
This repo contains the codes, images, report and slides for the first project of the course - MTH673A: Robust Statistical Methods at IIT Kanpur during the academic year 2022-2023.
Easy-to-use collection of statistical methods and techniques, all written in R 🗂
Companion Jupyter notebook of the paper "Functional Estimation of Anisotropic Covariance and Autocovariance Operators on the Sphere"
Reproducibility repo for the simulation and real data results in the SINATRA manuscript set to appear in AoAS.
Nonparametric Sobol Estimator with Bootstrap Bandwidth
Nonparametric regression examples with R and Python
Simple local constant and local linear regressions in Julia
The state-of-the-art method for denoising 1D signals
This is an R package to compute the multivariate quasiconvex/quasiconcave nonparametric LSE with or without additional monotonicity constraints described in "Least Squares Estimation of a Monotone Quasiconvex Regression Function" by Somabha Mukherjee, Rohit K. Patra, Andrew L. Johnson, and Hiroshi Morita.
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