23 citations · 32 across the 5 of their papers we have counts for
4 papers · 1 filter
Mean-Tilted Intervals: Regression and Dynamic Models
Antonio De Leon, Raquel Prado, Bruno Sansó
Mean-tilted intervals (MTIs) provide a fixed-content family of interval targets indexed by retained-mean balance. This paper develops generalized-Bayes computation for using those…
Bayesian Quantile Deep Echo State Networks for Nonlinear Time Series
Antonio De Leon, Raquel Prado, Bruno Sansó
Conditional quantiles are central to asymmetric decision losses, tail-risk assessment, and interval forecasts, but Bayesian quantile regression for nonlinear time series can be dif…
Mean-Tilted Intervals: Short Tolerance Intervals
Antonio De Leon, Raquel Prado, Bruno Sansó
Intervals with the same probability content can have different endpoint placements and widths. This matters for tolerance inference, where a reported interval must also satisfy a r…
Bayesian Quantile-Based Correction and Synthesis of Hydrologic Products
Antonio De Leon, Raquel Prado, Bruno Sansó
River-flow forecasting requires predictive distributions that remain informative in both routine and extreme conditions. We develop a Bayesian quantile-based correction-and-synthes…