Sketching of Data via Random Subspace Embeddings
-
Updated
Sep 20, 2022 - R
Sketching of Data via Random Subspace Embeddings
Code to reproduce paper Adrian, Duarte and Iyer (2023), “The Market Price of Risk and Macro-Financial Dynamics”
GWAS of trait variance (C++)
R Code for Bayesian Inference for Structural Vector Autoregressions Identified with Markov-Switching Heteroskedasticity
R package to perform regression-based Brown-Forsythe test
An R package for time series modelling with mixture autoregressive and related models.
As part of this project, we have used Regression Analysis on top of a panel data on Guns in USA to determine the "Effect of Shall-Carry Law on Violence Rate and Incarceration Rate in United States".
Script used for my undergraduate thesis
Econometrics_regression analysis using R language
Diagnostic tools for regression modeling.
Supplementary materials for the manuscript "Latent-class trajectory modeling with a heterogeneous mean-variance relation" by N. G. P. Den Teuling, F. Ungolo, S.C. Pauws, and E.R. van den Heuvel
Add a description, image, and links to the heteroskedasticity topic page so that developers can more easily learn about it.
To associate your repository with the heteroskedasticity topic, visit your repo's landing page and select "manage topics."