This paper develops a theory of estimating parameters of a generated regressor model in which some explanatory variables in the equation of interest are the unknown conditional means of certain ...
Motivated by normalizing DNA microarray data and by predicting the interest rates, we explore nonparametric estimation of additive models with highly correlated covariates. We introduce two novel ...
Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...
The Basel Accords allow banks to estimate credit risk. Accordingly, more attention has been dedicated recently to the analysis of loss given default (LGD) and the development of an LGD estimation ...
The LIFE-T1D model, demonstrated an ability to estimate the lifetime risk of heart disease among several groups of people with type 1 diabetes (T1D). Researchers have developed a tool they say can ...
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Models May Spot Risk for Death, Overdose Before Discharges Against Medical Advice
Risk prediction models may help clinicians identify patients at risk of death or overdose after discharge against medical ...
Mayo Clinic scientists have developed a new method to predict Alzheimer's risk decades before symptoms appear, using brain scans and genetics to estimate a 10-year likelihood.
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