Nonparametric Statistics

Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes
Regression Trees for Fast and Adaptive Prediction Intervals
Adding Imprecision to Hypotheses: A Bayesian Framework for Testing Practical Significance in Nonparametric Settings
Flexible conditional density estimation for time series
The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts
Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery
Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference
Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)