Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Preliminary research into in the application of Large Language Models in Official Statistics. Large Language Models (LLMs), such as GPT-5 by openAI, along with earlier pretrained architectures like ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Learn how to compare ML models using bootstrap resampling with a hands-on sklearn implementation. Social Security, Medicare are "going to be gone," Donald Trump warns Here's What To Do If You See A ...

A new ranking methodology places Barry Bonds over Babe Ruth as the game’s best player ever. Statisticians, at least, are cheering. By Alexander Nazaryan Every sport has its arguments over which player ...

Abstract: In most test analysis, we always want to construct a parameter model, and then through sample statistics and model parameters, we can get the properties, or characteristics of what we ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

This package is aimed to be a one-stop-shop for statistical testing in machine learning when it comes to evaluating models on a test set and comparing whether our improved model is really beating the ...