Percentiles: Activate this option and select up to four percentiles that you want to display on the chart.

In practice, classic forecasts are vastly outperformed both by quantile forecasts and quantile grids.

We investigate the interest of quantile regression (QR) and censored quantile regression (CQR) to deal with issues from contingent valuation (CV) data.

Also, Lokad did not use probabilistic forecasting from the very beginning; we went through classic forecasting (2008), quantile forecasting (2012) and quantile grids (2015) prior to this.

Reproduction number estimates based on the Bayesian sequential approach

Hence, the most popular work-around for the lack of native quantile models consists of extrapolating mean forecasts as quantile forecasts.

Entropy : All polygons are classified into five classes using the smart quartiles method, a variation of the quartile method.

A non-parametric method to estimate the number of clusters

NOTE: This table reports the results of probit regressions.

Since quantile forecasts cannot be summed, quantile time-series forecasts need to reconsider the very notion of period aggregation.

Does the series appear to have trends or seasonality?

In fact, the R function quantile offers nine different alternatives to compute the quantile.

Quantile regressions can eventually be used in stress situations.

The differences correspond to the coefficients produced by quantile regression.

Solve word problems involving absolute extreme values.