Nowcasting

An ANFIS Model for Stock Price Prediction

Load Forecasting with MATLAB (ANN)

Implementation of an LSTM network in MATLAB that predicts future power consumptions of 3 zones in Tetuan City.

Key: time series analysis, forecasting of GDP growth, macroeconomic, Kalman-filtering techniques, and a dynamic factor model.

Forecasting the spread of COVID-19 epedemic over India Region using ARIMA (p,d,q) model

Machine Learning Tool to Forecast Grid Frequency and Scheduled Power Generation of Thermal Power Plant.

Replication code for Addressing COVID-19 Outliers in BVARs with Stochastic Volatility“ by Carriero, Clark, Marcellino and Mertens (2021), Work in Progress

This code mainly computes the forecast of headline inflation using different aproaches. Likewise presents the forecast evaluation for each model along different points in a span period.

MATLAB wrapper for nowcast_lstm python package

MATLAB function to easily download economic time series data from the FRED (Federal Reserve Economic Data) online database maintained by the Research Department at the Federal Reserve Bank of St. Louis. The data are accessed by connecting directly to the FRED data server.

Predicting the highest stock price the next day based only on today's features

I employ a text-based uncertainty indicator within a Bayesian VAR framework to conduct robust structural macroeconomic forecasting.

A time-series forecasting algorithm based in Radial Basis Function Neural Networks, in Matlab.

Reduction of boundary effects in real-time time-frequency analysis

SEFEE: Storage Error Forecasting using tEnsor dEcomposition

Files for modelling COVID-19 virus

Harmony Search Time Series Forecasting

BCCM_JAE_2022

US Population Modeling & Forecasting