Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation
#quantile #quantiles #estimation
Transfer Learning for High-dimensional Quantile Regression with Statistical Guarantee
#quantile #estimators #estimation
'Flexible Model Aggregation for Quantile Regression', by Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani.
http://jmlr.org/papers/v24/22-0799.html
#quantile #quantiles #ensembles
#quantile #quantiles #Ensembles
Bounded Space Differentially Private Quantiles
Daniel Alabi, Omri Ben-Eliezer, Anamay Chaturvedi
Action editor: Gautam Kamath.
'Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds', by Likai Chen, Georg Keilbar, Wei Biao Wu.
http://jmlr.org/papers/v24/22-0021.html
#bandit #quantile #estimation
Bounded Space Differentially Private Quantiles
'Calibrated Multiple-Output Quantile Regression with Representation Learning', by Shai Feldman, Stephen Bates, Yaniv Romano.
http://jmlr.org/papers/v24/21-1280.html
#quantile #prediction #generative
#quantile #prediction #generative
There might be times when you may want to get some sort of #summary #statistic like a #quantile or #IRQ on your #distribution data.
With my #r #package {TidyDensity} this is possible given the data comes from a tidy_ distribution function. If you have a vector of data you can use tidy_empirical() as a cheat.
With this function you can get output as #sapply #lapply #tibble or a #tibble where #datatable is doing the work.
Post: https://www.spsanderson.com/steveondata/posts/weekly-rtip-tidydensity-2022-11-23/
See attached!
#datatable #tibble #lapply #sapply #package #r #distribution #irq #quantile #statistic #summary
I updated my #exrtact project (miscellaneous tools for #EXR image files) with a new program exrquantile that outputs data similar in purpose to a #histogram (it sorts the data from a given channel and outputs the values at regularly spaced counts, so you can easily read off the minimum, maximum, median, and other #quantile).
#quantile #histogram #exr #exrtact