Using the Quantile Loss Function When training a neural network, the loss function is not used directly. Instead, the calculus derivative of the loss function is used to compute weight gradients, ...

Generally, this distribution is not tractable. However, it has many practical applications that require the estimation of the quantile function at a high percentile, eg, the 99.9th percentile. Without ...

A quantile regression model suggests that Bitcoin will trade in the six-figure range for the majority of 2025. ‘Quantile model’ analyst predicts $135K–$285K Bitcoin price in 2025 Ecosystem ...

According to a Bitcoin researcher, a quantile regression model indicates that there is a 99% percentile target for BTC at $275,000 by the end of November 2025.

Censored quantile regression is an alternative to simply modeling conditional mean that can model the quantile of the response variable as a linear function of covariates and allows distinguishing ...

London Stock Exchange Group (LSEG) said on Monday it had acquired Quantile Group to expand its range of post-trade risk management solutions.

By taking advantage of ES as an integral of the quantile function, a new type of ES estimator is proposed. To compare the performance of the estimators, a series of comparative simulation studies are ...