Projections of COVID-19, in standardized format

Time series analysis in Java

Hierarchical and Grouped Time Series

An API client for fetching data from the Surfline API v1 and v2

Fetch forecasts from prediction markets/forecasting platforms to make them searchable. Integrate these forecasts into other services.

Golang GRIB2 parser

Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.

getgfs extracts weather forecast variables from the NOAA GFS forecast with no obscure, platform specific, dependencies

A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.

This is the data scraping & modeling code used for models shown in https://econforecasting.com.

Forecasting the effective reproduction number over short timescales

Dynamic Grid Prices for Ecopower

SARS-CoV-2 variant growth rates and frequency forecasts

This is a web display that shows current weather, weather forecast, Google Calendar Events, Crypto Prices and random quotes. It is built on MiddleManApp, jQuery, SCSS, JavaScript, and basic HTML.

Fisher Matrix codes for IM and cross-correlations

This project is to measure the popularity of each league using the search data collected from Google Trends, which give real-time historical data on search words. With this project, it is also possible to compare and forecast how the sports league are trending with respect to each other using three models — trend plus seasonality regression, Hol…

Comparison of Model Output Statistics and Adaptive Regression based on Kalman Filters for the Lorenz-96 Model.

The purpose of this report is to identify the most appropriate model to forecast future unemployment rate in the US using the historical data. We present an in-depth study of the forecasts for the monthly U.S. unemployment rate using various time series models and comparing them to further our understanding of the strengths and deficiencies of t…

This is an attempt to produce load forecast for an electric grid using historic load and weather data

Generates a daily, city specific forecast for the duration of a user created road trip itinerary.