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Threshold Approximation for Hoeffding's Test under I.I.D. Assumption

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TAHTIID

TAHTIID is short for Threshold Approximation for Hoeffding's Test under I.I.D. Assumption. The main theoretical result that we apply in this package is from J. Unnikrishnan and D. Huang.

Usage

Assuming having set tahtiid_ROOT path variable correctly, then type ./tahtiid -h to get the following help message:

usage: tahtiid [-h] [-e E] [-beta BETA] [-N N] [-fig_dir FIG_DIR] [-show_pic]

optional arguments:
  -h, --help        show this help message and exit
  -e E              experiment type; indicated by 'eta' (threshold calculation
                    and visualization) or 'cdf' (empirical CDF calculation and
                    visualization); default='eta'
  -beta BETA        false alarm rate for Hoeffding's rule; default=0.001
  -N N              total number of labels of the i.i.d. random variables;
                    default=4
  -fig_dir FIG_DIR  folder for saving the output plot; default='./Results/'
  -show_pic         whether or not to show the output plot; default=False

Examples:

$ ./tahtiid -beta 0.1 -N 3

$ ./tahtiid -e cdf -beta 0.01 -N 3 -show_pic

$ ./tahtiid -beta 0.01 -N 4 -show_pic

$ ./tahtiid -beta 0.0001 -N 5 -show_pic

Author

Jing Zhang

Jing Zhang currently is a PhD student in the Division of Systems Engineering at Boston University, advised by Professor Yannis Paschalidis.

Email: [email protected]

Homepage: http:https://people.bu.edu/jzh/

Copyright 2015 Jing Zhang. All rights reserved. TAHTIID is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation.

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Threshold Approximation for Hoeffding's Test under I.I.D. Assumption

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