heteroskedasticity

There are 0 repository under heteroskedasticity topic.

quangvanbui / introductory-econometrics
Comprehensive tutorial notes for ETC2410 Introductory Econometrics
linear-regression confidence-intervals hypothesis-testing ols-estimator descriptive-analytics predictive-analytics heteroskedasticity time-series econometrics eviews
Language:TeX 10
sokbae / sketching
Sketching of Data via Random Subspace Embeddings
heteroskedasticity regression subspace-embedding
Language:R 6
VFCI / vfci
Code to reproduce paper Adrian, Duarte and Iyer (2023), “The Market Price of Risk and Macro-Financial Dynamics”
asset-pricing fci heteroskedasticity macroeconomics r r-lang svar vector-autoregression volatility consumption-based-asset-pricing financial-conditions financial-conditions-index price-of-risk v-fci vfci macroeconomic-model macro-finance growth-at-risk monetary-policy
Language:R 4
Avinash793 / regression-analysis-examples
Detailed implementation of various regression analysis models and concepts on real dataset.
autocorrelation cooks-distance feature-engineering goodness-of-fit heteroskedasticity influential-cases leverages multicollinearity multiple-linear-regression-model ols-regression-model outliers poisson-regression-model python3 q-q-plot quantile-regression regression-analysis regression-diagnostics residuals simple-linear-regression gls-regression-model
Language:Jupyter Notebook 3
MRCIEU / varGWAS
GWAS of trait variance (C++)
gwas variance heteroscedasticity heteroskedasticity variability
Language:R 3
SVAR-MSH-ID
donotdespair / SVAR-MSH-ID
R Code for Bayesian Inference for Structural Vector Autoregressions Identified with Markov-Switching Heteroskedasticity
bayesian heteroskedasticity markov-switching rstats svars
Language:R 2
GeoBosh / mixAR
An R package for time series modelling with mixture autoregressive and related models.
assymetric cran heteroskedasticity mixture-autoregressive r r-package student-t time-series
Language:R 1
MRCIEU / varGWASR
R package to perform regression-based Brown-Forsythe test
heteroscedasticity heteroskedasticity variance statistics genetics
Language:R 1
Sarthak-Mohapatra / Effect-of-Shall-Carry-Law-on-Violence-Rate-in-United-States
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".
exploratory-data-analysis hypothesis-testing heteroskedasticity endogeneity linear-regression panel-data fixed-effects random-effects-model rstudio visualization exploratory-data-visualizations pooled-model log-linear-model machine-learning-algorithms machine-learning
Language:R 1
calosor / ols_regression
OLS regression with possibility of controlling for fixed effects and robust standard errors
clustered-standard-errors econometrics estimation estimation-algorithm fixed-effects heteroskedasticity linear-regression machine-learning ols ols-regression regression regression-models
Language:Python 0
claCase / Heteroskedasticity-DNN
Full Log-Likelihood Heteroskedastic Regression with Deep Neural Networks and Tensorflow
bayesian-neural-networks deep-learning feedforward-neural-network tensorflow regression-algorithms heteroskedasticity
Language:Python 0
evajryang / Econometrics-RegressionAnalysis
Econometrics_regression analysis using R language
regression-models statistical-models r logistic-regression polynomial-regression linear-regression heteroskedasticity ols-regression rsquare
Language:R 0
ferdynandariza / fgls
Script used for my undergraduate thesis
design-of-experiments doe heteroskedasticity statistics
Language:R 0
gepapago / Empirical-Research
Basic methodologies of Empirical Research applied on various case studies (R language)
autocorrelation classification clustering heteroskedasticity multicollinearity ols-regression descriptive-statistics factor-analysis hypothesis-testing
0
katlass / Umass-Senior-Project-2019
The purpose of my application was to solve a problem many businesses (small businesses in particular) face. They do not know how much to produce, where to price, how much to spend on advertising and many other questions. Eden’s purpose was to answer these questions for them easily and with no technical acumen required by the user. Eden would model supply and demand equations using ordinary least squares (OLS) regression on the user’s data to form the best fitting supply and demand equations possible. The best fit was to be ensured by regressing each variable against demand or supply, determine the best shape via the highest adjusted R2, and then do an OLS regression and simplistically tell the user what the results mean. Eden would attempt multiple shapes like linear, logarithmic, cubic, quadratic, and inverse. The user interface would be easy to navigate and user-friendly.
autocorrelation econometrics finance heteroskedasticity holt-winters-forecasting regression vector-autoregression
0
niekdt / meanvar-clustering-longitudinal-data
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
bayesian-inference covid-19 growth-mixture-modeling heteroskedasticity latent-class-analysis longitudinal-analysis longitudinal-clustering mean-variance-model simulation-study
Language:R 0
rishabhgupta91 / Macroeconomic-Variables-and-SandP-500-Performance
Impact of macroecomonic variables on S&P 500
autocorrelation dickey-fuller heteroskedasticity machine-learning python regression-models supervised-learning unsupervised-learning
Language:Jupyter Notebook 0
robertschnitman / diagnoser
Diagnostic tools for regression modeling.
r regression-diagnostics statistics regression regression-analysis regression-models residuals cook-distance heteroskedasticity ols diagnoser
Language:R 0
robertschnitman / diagnoserjl
Diagnostic tools for regression modeling. Julia-equivalent for diagnoser (https://github.com/robertschnitman/diagnoser).
julia regression-diagnostics statistics regression regression-analysis regression-models diagnoser residuals heteroskedasticity ols diagnoserjl
Language:Julia 0
Zoey1102 / heteroskedasticity
slidify heteroskedasticity shiny-apps
Language:HTML 0
akash2262 / P6-heteroskedasticity-checking
Here I have checked and removed for heteroskedasticity .
heteroskedasticity ols-regression-model bp-test gq-test
Language:Jupyter Notebook
apashch / Heterosked-reg-models
Testing different models for the linear regression model with one estimator and heteroskedacity in data
regression-models regression-analysis heteroskedasticity
Language:TeX
diego-florez / Diamonds-Price-Prediction
Repo where different methods for price regression are used (supervised machine learning)
algorithms correlation-matrix data-wrangling descriptive-analysis descriptive-statistics diamonds-price-prediction encoding heteroskedasticity linear-regression-models matplotlib multicollinearity non-linear-regression regression-analysis rmse seaborn sklearn standarization supervised-learning
Language:Jupyter Notebook
Semmyinc / Hamoye-Tag-Along-Project-B-Spring-23
Linear Multilinear and Logistic Regression in Machine Learning
coefficient-of-determination lasso-regression linear-regression logistic-regression mae multilinear-regression residuals ridge-regression rmse heteroskedasticity minmaxscalar
Language:Jupyter Notebook

heteroskedasticity

quangvanbui / introductory-econometrics

sokbae / sketching

VFCI / vfci

Avinash793 / regression-analysis-examples

MRCIEU / varGWAS

donotdespair / SVAR-MSH-ID

GeoBosh / mixAR

MRCIEU / varGWASR

Sarthak-Mohapatra / Effect-of-Shall-Carry-Law-on-Violence-Rate-in-United-States

calosor / ols_regression

claCase / Heteroskedasticity-DNN

evajryang / Econometrics-RegressionAnalysis

ferdynandariza / fgls

gepapago / Empirical-Research

katlass / Umass-Senior-Project-2019

niekdt / meanvar-clustering-longitudinal-data

rishabhgupta91 / Macroeconomic-Variables-and-SandP-500-Performance

robertschnitman / diagnoser

robertschnitman / diagnoserjl

Zoey1102 / heteroskedasticity

akash2262 / P6-heteroskedasticity-checking

apashch / Heterosked-reg-models

diego-florez / Diamonds-Price-Prediction

Semmyinc / Hamoye-Tag-Along-Project-B-Spring-23