Generalized Methods of Trimmed Moments
High breakdown-point regression estimators protect against large errors and data contamination. We adapt and generalize the concept of trimming used by many of these robust estimators so that it can be employed in the context of the generalized method of
Cizek, P.
core
Training-set conditionally valid prediction sets with right-censored data. [PDF]
Si W, Qiu H.
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Evaluating MINFLUX experimental performance in silico. [PDF]
Marin Z, Ries J.
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Uniform in Bandwidth Consistency of the <i>L</i><sup>1</sup>-Modal Regression Estimator for High-Dimensional Data. [PDF]
Almulhim FA, Alamari MB, Laksaci A.
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Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation. [PDF]
Chen Z, Li R, Xu Y.
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Median Estimation with Quantile Transformations: Applications to Stratified Two-Phase Sampling. [PDF]
Almulhim FA, Aljohani HM.
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Estimating Baseline Survival Function in the Proportional Hazards Model Under Monotone Hazards. [PDF]
Wu Y, Chappell R.
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Inference on function-valued parameters using a restricted score test. [PDF]
Hudson A, Carone M, Shojaie A.
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A dependent and censored first hitting-time model with compound Poisson processes. [PDF]
Escobar-Bach M, Popier A, Sahin M.
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Machine learning based variance estimation under two phase sampling using health and education sector data. [PDF]
Al-Marzouki S +5 more
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