Introducing the TelluBase U.S. Recession Predictor

Building on Ben Bernanke’s widely used recession probability model, we invented a better model using exactly the same ...
Seeking Alpha

Using Quantitative Signal Data For Portfolio Management

The vast majority of asset management companies today use model portfolios. One question we’ve been asked many times is whether ValuEngine stock ratings can be used for portfolio management or merely ...
Sports Illustrated

Remembering Every Time the World Series Went to Seven Games

For the first time since 2019, the World Series is going to Game 7. After the Blue Jays won Games 4 and 5 of the series at Dodger Stadium, the Dodgers came back and won Game 6 in Toronto to even the ...
Time

AI Is Learning to Predict the Future—And Beating Humans at It

Reactions to Kimmel's suspension, Trump publicly rebukes Putin, and more Length: Long Speed: 1.0x Every three months, participants in the Metaculus forecasting cup try to predict the future for a ...
Frontiers

Long short-term memory-based forecasting of influenza epidemics using surveillance and meteorological data in Tokyo, Japan

Background: Influenza remains a significant public health challenge worldwide, necessitating robust forecasting models to facilitate timely interventions and resource allocation. The aim of this study ...
Frontiers

Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...
IEEE

A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using TimesNet

Abstract: In this paper, we present a novel method for advancing time series forecasting by representing discretized time series data through de Bruijn Graphs (dBGs). This method harnesses the ...