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quantile regression

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TitleStatusHype
Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions—0
On Scalable Inference with Stochastic Gradient Descent—0
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores—0
A Statistical Learning Approach to Modal Regression—0
Transformation Forests—0
Joint quantile regression in vector-valued RKHSs—0
Generalized Random ForestsCode0
Bayesian quantile additive regression treesCode0
Prediction of allosteric sites and mediating interactions through bond-to-bond propensities—0
Learning theory estimates with observations from general stationary stochastic processes—0
Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression—0
Joint estimation of quantile planes over arbitrary predictor spaces—0
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression—0
Learning rates for the risk of kernel based quantile regression estimators in additive models—0
Sparse Quantile Huber Regression for Efficient and Robust Estimation—0
Performance Analysis Of Neural Network Models For Oxazolines And Oxazoles Derivatives Descriptor Dataset—0
Parametric Task Learning—0
Quantile Regression for Large-scale Applications—0
Strong oracle optimality of folded concave penalized estimation—0
An efficient model-free estimation of multiclass conditional probability—0
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