Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of ...

Hicksian demand refers to the quantity of a good a consumer would purchase after a price change, assuming their utility, or ...

Key Takeaways: In 2023, ORDI became the first BRC-20 token to breach $1 billion in market capitalization. Following this achievement, ORDI gained attention from DeFi enthusiasts for its role in ...

Ordinal regression (OR, also called ordinal classification) is classification of ordinal data, in which the underlying target variable is categorical and considered to have a natural ordinal relation ...

ABSTRACT: This study investigates the application of cumulative link models with alternative distributions (hyperbolic secant, Laplace, and Cauchy) to model ordinal outcomes of depressive severity ...

Abstract: Ordinal data—data that are ordered categories but do not assume equal spacing between values—are firmly entrenched in social and biomedical research. Ordinal data, regardless of their ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

This article was written by the Bloomberg Enterprise Investment Research Data team: Michael Beal, Jerome Barkate, Michael Ashikhmin, Frances Shi. Welcome to Data Spotlight, our series showcasing ...