ols
There are 85 repositories under ols topic.
bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
sergiocorreia/reghdfe
Linear, IV and GMM Regressions With Any Number of Fixed Effects
MBKraus/Predicting_real_estate_prices_using_scikit-learn
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
indigits/sparse-plex
A MATLAB library for sparse representation problems
ISA-tools/OntoMaton
OntoMaton facilitates ontology search and tagging functionalities within Google Spreadsheets.
pachadotdev/gravity
R package that provides estimation methods for Gravity Models
TatevKaren/econometric-algorithms
Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.
ts4nfdi/terminology-service-suite
The SemLookP Widgets project is a collection of interactive widgets designed to ease the integration of terminology service functions into third-party applications.
BendeguzBiksi/Master-Studies-Econometrics-I
Master Degree Coursework: Econometrics I
dgwozdz/OLS
Set of functions to semi-automatically build and test Ordinary Least Squares (OLS) models in R in parallel.
julzerinos/r-structural-breaks-with-ml
Detecting structural breaks in time series data using statistical analysis and regression models in R.
meiniKi/logIP
Logic Analyzer IP Core
AbdirayimovS/Multiple_Regression_project
Apex team`s multiple regression project. It contains: What is Multiple Regression? Advantages and disadvantages of multiple regression, least square method and real implementation.
NullPounce/K12-Education-Focus-Scripts
This page will host scripts used to increase students productivity in remote learning education. Primarily aimed at k-5.
ashioyajotham/Daily-ML
Machine Learning Algorithms
NumericalMax/Linear-Regression
Implementation of Linear Regression (OLS)
pvh95/ols_bootstrap
OLS Bootstrap on Cross-Sectional Data
vaitybharati/Assignment-05-Multiple-Linear-Regression-1
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.
eakgun/ISO_OLS_RBF
Generalized Improved Second Order RBF Neural Network with Center Selection using OLS
edoardofalchi/Instrumental-Variable-paper-replication-and-critique
IV technique. Replication & critique of N. Nunn paper using R
ibodumas/OLS-gradient-descent
Gradient descent via OLS
KevinDepedri/AI-for-Finance
Stock market prediction on 5 italian companies using VAR model, OLS regressions and LSTM recurrent neural networks over data retrieved from Refinitiv Eikon
MCai416/Linear-Regressions
OLS (twoway clustered standard errors), Imperfect Multicollinearity (Ridge and PCA), ARMA(p,q) with Bootstrap
b-knight/olspow
Python package for conducting power analysis for experiments using regression and/or clustered data.
CianStryker/Predicting_Conflict_Project
This project was conducted for "API 222: Machine Learning and Data Analytics", taught at the Harvard Kennedy School. We created a novel dataset and explored how machine learning can predict the onset of civil conflict.
dilettagoglia/AI4MIG
🕊️Use of non-traditional data sources to nowcast migration trends through Artificial Intelligence technologies (academic research project).
Geo-Linux-Calculations/geodesy-msexcel-ols
MS Excel OLS spreadsheets for geodesy
JRigh/OLS-Linear-Regression-in-R
OLS results and Linear Regression in R
kayannr/health_insurance_IV
Casual relationship between health insurance coverage and BMI.
Lokeshrathi/Interpreting_OLS_Summary_LR
OLS Interpretition
robertovacante/inside-OLS
This repository provides a simulation of Ordinary Least-Squares in Mata.
thanhqtran/chile-inflationtarget-ols
OLS for an Inflation-Targeting Policy Analysis (Chile)
YannickKae/Efficient-Tests-of-Stock-Return-Predictability
This R code implements the Bonferroni Q test from Yogo and Campbell's (2006) paper "Efficient Tests of Stock Return Predictability."