Simulation, Estimation, and Prediction of Autoregressive Markov Switching Models
MATLAB-based simulation, estimation, and forecasting implementation for autoregressive Markov switching models
MATLAB Code Implementation of ARMA Model
ARMA model implementation using MATLAB, featuring MATLAB code for ARMA modeling with multi-step forecasting capabilities.
MATLAB-Based Multivariate Linear Regression with Leave-One-Out Cross-Validation Prediction Package
A comprehensive MATLAB package implementing multivariate linear regression analysis with integrated Leave-One-Out Cross-Validation (LOOCV) prediction capabilities, featuring data preprocessing and visualization tools.
Radio Wave Propagation Prediction in Atmospheric Ducting Environments
MATLAB implementation for radio wave propagation prediction in atmospheric ducting environments using the parabolic equation method model - pe_tropos_ducting.m
Time Series Analysis and Forecasting Using ARMA Models
ARMA models for time series analysis and prediction with MATLAB program source code implementation
Time Series Forecasting Using Autoregressive Moving Average (ARMA) Models
MATLAB implementation for time series prediction using autoregressive moving average (ARMA) modeling with parameter estimation and forecast generation capabilities
UCSD-Developed MATLAB GARCH Model for Volatility Analysis and Forecasting
A comprehensive MATLAB GARCH (Generalized Autoregressive Conditional Heteroskedasticity) model package developed by UCSD, featuring two installation packages with detailed setup instructions compatible with various MATLAB versions. The implementation includes key algorithms for volatility modeling and has been verified to execute successfully, addressing runtime issues found in other online versions. The package contains core functions for parameter estimation, volatility forecasting, and diagnostic checking.
Implementation of Regression Analysis, Stepwise Regression, and Prediction
MATLAB implementation for regression analysis, stepwise regression, and prediction modeling - ideal for mathematical modeling applications with code examples and algorithm explanations
Simple Implementation Method for Grey Prediction
A straightforward implementation approach for grey prediction, where 'data' is the required input one-dimensional array and 'N' represents the number of values to be predicted, including key algorithm steps and parameter descriptions
MATLAB Implementation Example of Cloud Model for Prediction and Estimation
A practical cloud model example designed for prediction and estimation tasks, featuring MATLAB code implementation with detailed algorithmic explanations for beginners