Discover how precedent transaction analysis evaluates company value using past acquisition prices. Understand key factors, data sources, and its advantages and challenges.

Discover how the Bureau of Economic Analysis influences U.S. economic policy with vital reports on GDP, trade, and more, ...

Abstract: In applications such as social, energy, transportation, sensor, and neuronal networks, high-dimensional data naturally reside on the vertices of weighted graphs. The emerging field of signal ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...

Health Insurance Equity, Social Determinants, Socioeconomic Status, Insurance Quality, Urban-Rural Disparity, Hukou, China ...

SMBs was just beginning. As a pioneer in the SaaS industry, Salesforce provided businesses with a platform that constantly monitored and recorded employee actions and tracked KPIs. The vast amount of ...

Flux balance analysis is a mathematical approach for analyzing the flow of metabolites through a metabolic network. This primer covers the theoretical basis of the approach, several practical examples ...

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 ...

In this paper, we propose a user-friendly estimator to implement the method of difference-in-differences with ordinal ...

Abstract: The Ordinal Pattern-Based Mode Decomposition (OPMD) is a novel data-driven method recently introduced for processing weakly stationary signals embedded in noise. It exploits the filtering ...