akaike-information-criterion

There are 0 repository under akaike-information-criterion topic.

jfernandoghe / Evaluating-eye-tracker-calibration-models-with-the-Akaike-information-criterion
model-selection akaike-information-criterion ransac-algorithm estimator regression-models
Language:Jupyter Notebook 1
animeshsareen / stepwise-R
Applying stepwise selection in R Studio to forecast credit balances and stock market behavior.
akaike-information-criterion data-science financial-analysis machine-learning stepwise-selection
Language:R 0
anthonyli01 / Regression-Model-for-Car-Prices
University Project: using linear regression models to predict secondary market car prices based on a series of features. We will apply variable selection techniques and optimisation in attempt to build the best predictive model.
adjusted-r-squared akaike-information-criterion bayesian-information-criterion machine-learning optimisation regression-models regularization
0
devosmitachatterjee2018 / Financial_Time_Series
The project involves the analysis and forecasting of time series on financial data.
timeseries-analysis timeseries-forecasting autocorrelation-function autoregressive moving-average arma-model garch-model akaike-information-criterion bayesian-information-criterion
Language:R 0
devosmitachatterjee2018 / Linear_Statistical_Models
The project involves the multivariate regression analysis of a dataset.
simple-linear-regression multivariate-regression underlying-assumptions bias-variance least-squares outlier-detection categorical-covariates t-test adjusted-r-squared r-squared confidence-intervals prediction-intervals multicollinearity akaike-information-criterion partial-f-test model-selection cross-validation
Language:R 0
Matcar02 / BrazilianBestRents
The repository contains some of the work done by me and 4 colleagues for a university project of the "data analysis for business" class. The project aims at identifying the best deals and strategies to take by rental agencies to maximise profits in the Brazilian House Market. On the other hand, We also analyzed good deals for mid-income households.
akaike-information-criterion clustering elasticnet-regression kmeans random-forest
Language:R 0
rlaehddo / Forest_Fire
Linear Regression Models on Montesinho Forest Fire
linear-regression linear-models modelling modelselection model-selection aic k-fold-cross-validation r forestfire aka akaike-information-criterion lasso-regression lasso-regression-model
Language:R 0
rlaehddo / Gotham-City-Covid19
Time Series Model of COVID 19 cases in Gotham City
coronavirus r timeseries parametric-modelling akaike-information-criterion prediction
0
SantiagoMorenoV / 50-Startups-Multiple-Reg
This project estimates a multiple linear regression of 50 startups and how their expenses on R & D, administration, marketing, and location can be significant or not to their profits.
backward-elimination multiple-linear-regression-model akaike-information-criterion catools ggplot2 matplotlib numpy pandas ptyhon r seaborn sklearn-library statsmodels step-function
Language:Jupyter Notebook 0
shrey1216 / Analysis-of-Advertising-Expenses-and-Company-Sales
Regression Analysis of Log Returns: Intel and Citigroup
regression log-return akaike-information-criterion correlation-coefficient kendalls-t
Language:R 0
imane-ayouni / Time-Series-Forecast-Medium-Daily-Posts-Forecast
Time Series Forecasting Methods to forecast Daily Post Publications on Medium
acf akaike-information-criterion arima-model autocorrelation-function ets-model holt-linear-forecasting holt-winters-forecasting mae pacf rmse sarima-model simple-exponential-smoothing time-series
Language:Jupyter Notebook
nsb700 / time-series-forecasting
Time Series Forecasting
arima-model autoregressive-models moving-average random-walk sarima-model seasonality-analysis time-series-analysis time-series-forecasting trend-analysis akaike-information-criterion residual-analysis matplotlib-pyplot
Language:Jupyter Notebook
Pongpisit-Thanasutives / ICOMP
A Python package implementing informational complexity (ICOMP) criteria for regression models
complexity complexity-measure information-criterion information-theory linear-models linear-regression model-selection akaike-information-criterion bayesian-information-criterion
Language:Python
shamik394 / Model-Weighting-Toolbox
My research at NASA-JPL as a Student Intern presents a unique climate change simulation toolbox that merges multiple climate models and observations using Pseudo-Bayesian Model Averaging (BMA) and other techniques. It allows researchers to select optimal model weights for accurate forecasts and flexibility in addressing various climatic inquiries.
akaike-information-criterion bayesian-model-averaging the-sanderson-approach
Language:Jupyter Notebook