A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Introduction: Accurate characterization of concealed orebodies in complex geological environments remains a principal challenge in deep mineral exploration. In particular, the strong spatial ...
If someone told you that they were “probably” going to have pasta for dinner, but you later found out that they ate pizza, would you feel surprised – or even lied to? More seriously, what does it mean ...
Abstract: Industrial data often consist of continuous variables (CVs) and binary variables (BVs), both of which provide crucial information about process operating conditions. Due to the coupling ...
Interest Rate Probability Distributions Implied by Derivatives Prices is a daily measure of the distribution of future short-term interest rates, calculated from prices of fixed-income derivatives ...
The Home Depot announced that it has completed the acquisition of GMS Inc. (“GMS”) through its specialty trade distribution subsidiary, SRS Distribution Inc. (“SRS”), for a total enterprise value ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
1 School of Mathematical Sciences, Nanjing Normal University, Nanjing, China 2 Ministry of Education Key Laboratory of NSLSCS, Nanjing Normal University, Nanjing, China Table 1. Names of 40 features ...
ABSTRACT: This methodological article aims to present the type I Pareto distribution in a clear and illustrative manner for better understanding among social researchers. It also provides R scripts ...
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