Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

📓 Utility provides a more meaningful measure of forecast skill than goodness-of-fit

Literature Survey about the available Diffusion Models capable of Time-Series Forecasting

Repo to showcase solution examples and learning content curated by the advanced analytics experts within Microsoft Finance

Understanding, evaluating, and improving forecasts of infectious disease burden

[READ-ONLY MIRROR] LaTeX files for the paper "Real-time Demand Forecasting for an Urban Delivery Platform"

Evaluation of a simplified forecasting model designed to emulate the performance of the ECDC forecasting hub.

We are presenting a Bayesian local-level model and its extensions

Does the mind have statistical models? Even if it does, are these models Bayesian? We explore these questions as a part of my Masters capstone project guided by Prof. Glenn Shafer

Feng Li's texmf database

A collaborative repository highlighting Bayesian autoregressive analysis with extensions. It is prepared by the students of Macroeconometrics at the University of Melbourne.

Python package for Singular Spectrum Analysis

Latex project for the paper that I wrote for my thesis.

Repositório do ferranaData, modelo preditor de eleições proporcionais no Brasil

AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases

Time series analysis project: forecasting brazilian inflation.

Companion analysis to a paper published in the Journal of Digital Imaging.

Bakalářská práce na téma Predikce profilů spotřeby elektrické energie

Protocol study and data collected for paper entitled "COVID-19 forecasting with deep learning: a distressing survey"

This repository contains a tutorial to replicate the results of the published paper Spatial Beta-Convergence Forecasting Models: Evidence from Municipal Homicide Rates in Colombia