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MON (Meadian of meaNs)

Project description

MONarchy module for MON estimators

MONArchy provides :

  • estimation functions using MON and derivative methods
  • The MONArchy class to call each function on a set of data

  • Analyse : to load data and return a JSON file with estimations and descriptive statistics

exemple :

a = Analyse(path)



  • path : the path of a CSV file (string)
  • column_name : the column name (string)

produce a JSON file with statistical estimators



  • add a method to list column name


  • correct requirements.txt


  • add save_graph in Analyse


  • add bayesian MoN


	title = {Robust Mean Estimation with the Bayesian Median of Means},
	url = {},
	journaltitle = {{arXiv}:1906.01204 [math, stat]},
	author = {Orenstein, Paulo},
	urldate = {2021-04-08},
	date = {2019-06-04},
	eprinttype = {arxiv},
	eprint = {1906.01204},
	keywords = {Bayesian, Estimators, {MON}, Math, Mathematics - Statistics Theory, Statistics - Methodology},
  TITLE = {{Fireflies removing in Monte Carlo rendering with adaptive Median of meaNs}},
  AUTHOR = {Buisine, J{\'e}r{\^o}me and Delepoulle, Samuel and Renaud, Christophe},
  URL = {},
  NOTE = {working paper or preprint},
  YEAR = {2021},
  MONTH = Apr,
  PDF = {},
  HAL_ID = {hal-03201630},
  HAL_VERSION = {v1},



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