An open benchmark for real-time analytics benchmark over massive data sets
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Updated
Feb 21, 2021
An open benchmark for real-time analytics benchmark over massive data sets
An implementation of the Greenwald-Khanna approximate quantile streaming algorithm as a Spark user-defined aggregate function.
Benchmark of different quantile implementations
Working with real-world data to estimate confidence intervals of quantiles, using Bootstrap.
Streaming Quantile Calculation Algorithm
Simulations for an article about extreme quantile region estimation
Mixing, matching, and comparing Bayesian models, quantile regression, and multi-task learning
Deep Quantile Regression Synthetic Aperture Radar Ship Size
R package for estimation of elliptical extreme quantile regions
Learning Multiple Quantiles With Neural Networks with preserving monotonicity among quantiles
A data structure for accurate on-line accumulation of rank-based statistics.
A q-quantile estimator for high-dimensional distributions
Compute least squares estimates and IVX estimates with pairwise quantile predictive regressions (R package)
Aioprometheus summary with quantiles
Set of algorithms, used for estimation statistic characteristics on streaming data.
B-digest is a Go library for fast and memory-efficient estimation of quantiles with guaranteed relative error and full mergeability
Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE’05
Prometheus summary with quantiles
Monotone composite quantile regression neural network (MCQRNN) with tensorflow 2.x.
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