But they are persistent, and I’ve been thinking about why. The common denominator seems to be that these new believers in a ...

Institutional momentum, narrative quality and FOMO are real forces, but they don’t necessarily lead to profitability ...

China’s model-as-a-service market is expanding rapidly, growing from a small, narrow segment into a promising source of ...

Banks, insurers and financial intermediaries are not newcomers to algorithmic decision making. Credit scoring models have been in production ...

Sarah Rudd, who once ran analytics for Arsenal, made her name applying the tenets of probability theory to movements on the ...

Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...

Abstract: The existing models for multi-modal fake news detection focus mainly on capturing common similar semantics between different modalities to improve detection performance. However, they ignore ...

Learn about econometrics, including how it uses statistical models and data analysis to test economic theories, forecast ...

FOCUS is designed to formalize the Department’s engagement with so-called “data miner” relators who file qui tam complaints under the False Claims Act (FCA). The announcement signals the Department’s ...

Abstract: The debiased estimator is a crucial tool in statistical inference for high-dimensional model parameters. However, constructing such an estimator involves estimating the high-dimensional ...

A discussion of the rapid integration of AI in the US insurance industry, the legal and ethical challenges arising from AI ...