This project explores the determinants of inflation prediction errors using data from the Survey of Consumer Expectations (SCE) from 2013 to 2023 and monthly National and yearly State-level PCE. The ...
Abstract: This paper explores the correlation between momentum and scoring trends using a combination of binary logistic regression and Monte Carlo simulation. The real-time momentum of the game is ...
Abstract: This study presents an optimized Logistic Regression-based predictive model for early detection of Chronic Kidney Disease (CKD) using clinical and demographic data. The framework integrates ...
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, United States Department of Applied Mathematics, University of Washington, Seattle, United States Howard ...
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