Accurate land cover mapping underpins biodiversity protection, climate adaptation, and sustainable land use. Despite advances ...
Estimating the conditional quantiles of outcome variables of interest is frequent in many research areas, and quantile regression is foremost among the utilized methods. The coefficients of a quantile ...
Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...
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New Study Uses Fuzzy Logic to Accurately Predict Hardness in High-Performance Concrete
A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...
In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...
It is well known that allowing the coefficients to be time-varying in a predictive model with possibly nonstationary regressors can help to deal with instability in predictability associated with ...
CULVER CITY, Calif.--(BUSINESS WIRE)--ImmunityBio, Inc. (NASDAQ: IBRX), a clinical-stage immunotherapy company, today announced findings from a Phase 1 study showing that allogeneic cytokine-induced ...
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