Recent Findings in Actuarial Science Described by Researchers from University College (Risk Margin Quantile Function Via Parametric And Non-parametric Bayesian Approaches) The news correspondents ...
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 ...
The goal of a machine learning regression problem is to predict a single numeric value. Quantile regression is a variation where you are concerned with under-prediction or over-prediction. I'll phrase ...
Consider the regression model Y = h(x)+ε, where h is an unknown smooth regression function and ε is a random error with unknown distribution. To estimate the ...
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