3 papers
stat.ME2026
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…
stat.ME2026
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…
stat.ME2026
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…