Project SAHDE:
Scalable Adaptive Histogram Density Estimation

This programme is partly supported by:

  • databricks academic partners program for distributed cloud computing
  • research time for this project was party due to:
    • 2009-2015 by industrial consulting revenues of Raazesh Sainudiin
    • 2015, 2016 by the project CORCON: Correctness by Construction, Seventh Framework Programme of the European Union, Marie Curie Actions-People, International Research Staff Exchange Scheme with counter-part funding by The Royal Society of New Zealand

Project SAHDE is an effort to create a scalable version of the adaptive histogram density estimators implemented in:

based on mathematical statistical notions in:

  • Data-adaptive histograms through statistical regular pavings, Raazesh Sainudiin, Gloria Teng, Jennifer Harlow and Warwick Tucker, 2016 (PDF 1.8MB)


The license for mrs2 is GNU General Public License (GPL) and that for SAHDE Project is Apache 2.0.

Current Sub-Projects of SAHDE

Blackboard discussion notes at LaMaStEx on 2016-10-08.

We will eventually lua/la/ka-tex mathematically here..

Minimum Density Estimation 00

Minimum Density Estimation 01

Minimum Density Estimation 02