As the industry embraces Nielsen’s big data + panel, the NFL is on board with the new measurement tool. Still, chief data and analytics officer Paul Ballew says there’s “more work” to be done in terms ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

This study introduces a more flexible approach by employing the fixed effects negative binomial model to address challenges associated with outliers and dispersion. Unlike previous studies that ...

ABSTRACT: The objective of this study is to analyze the impact of financial development (variable of interest) on fossil energy demand (dependent variable) in West African Economic and Monetary Union ...

Talen Energy has restructured and significantly expanded its nuclear energy agreement with Amazon Web Services (AWS), finalizing a 17-year, $18 billion power purchase agreement (PPA) that will supply ...

ABSTRACT: The promotion of sustainable agricultural practices is crucial for achieving environmental sustainability. Moreover, there is limited documentation on how green agriculture moderates the ...

Abstract: The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. To solve these problems, this study combines Markov chain Monte Carlo ...

This algorithm, based on the confromal inference framework, is used to obtain prediction intervals (quantify uncertainty) when working with panel data in a regression setting. The package implements ...

This repository contains the replication code used to generate the figures and results presented in the main text of "Econometric Forecasting Using Ubiquitous News Texts: Text-Enhanced Factor Model." ...

After dropping 3.45% on Sept. 30, Bitcoin (BTC) missed out on a monthly bullish engulfing candle for the first time since January 2023. Still, a year-long bull flag remains in play for Bitcoin, which ...