Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
Natural secondary forests are a dominant component of northeastern China’s landscapes and an important terrestrial carbon reservoir. Their dense, mixed-species structures create strong competition ...
ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...
Flavor, a multimodal perception based on taste, smell, and tactile cues, plays a significant role in consumer preferences and purchase intentions toward coffee. In this exploratory study, we assessed ...
ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
The package is currently in the internal testing phase. At present, it only supports local installation from GitHub. The BSTVC R package is designed to provide a comprehensive suite of functionalities ...
Objective: This study aims to investigate the association between skeletal muscle mass (SMM) and left ventricular mass (LVM), providing a basis for health management and cardiac health interventions ...
Abstract: As a robust regression approach in machine learning, the Bayesian hierarchical logistic regression model integrates the strengths of Bayesian statistics and logistic regression, offering ...
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