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 ...

Thank you again for your great work. I am trying to use a diverse text prompt, but it gives me a meaningful prediction, which is right lung masks from the first example below. image_path = ...

I compiled and ran Example YOLOv8-CPP-Inference in my own environment, and found that everything worked fine when using CPU for inference, but when using GPU for inference, the results became strange.

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk ...

ABSTRACT: This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, ...

Abstract: With the advent of big data era, data with high dimensions are becoming ubiquitous. In the last two decades regularization approaches have become the methods of choice for analyzing high ...

Abstract: The problem of statistical inference in its various forms has been the subject of decades-long extensive research. Most of the effort has been focused on characterizing the behavior as a ...

The prevalent approach to motif analysis seeks to describe the local connectivity structure of networks by identifying subgraph patterns that appear significantly more often in a network then expected ...