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

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

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

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.

Python package for Singular Spectrum Analysis

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

Feng Li's texmf database

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

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

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

Repositório do ferranaData, modelo preditor de eleições proporcionais no Brasil

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

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

Time series analysis project: forecasting brazilian inflation.

Repository for "Multi-Model Ensembles in Infectious Disease and Public Health: Methods, Interpretation, and Implementation in R"

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

Masters Project: Forecasting Unemployment