A Noisy Algorithm

Here is something I created while having sea food at Pier 39 in San Fransisco-

Creating an algorithm for distorting predictive models by generating random noise ( either amplified or reduced sample).

Applications-

“If you can not convince them, confuse them”

1. Generating white noise like signals to fake and distort noise and signal ratios
2. Aggressive merger and acquisitions negotiations
3. Media and Entertainment _                                     (Create Marketing Buzz/ Tabloid /Hype/ Fear , Uncertainty Doubt)
4. National Security -( Kill _all_ the Terrorists with Love –                        black,brown,yellow,olive,white,blue,red …)
5. Dating                                                                 (as in u2’s sweetest thing- Brown Eyed Boy meets Blue Eyed Girl)

The 0 1-1 1R 1 Algorithm

1. Define Initial Position (i.e Use 6 sigma Define step)
2. Take ANY Step 1 (i.e take a walk, make a phone call)
3. Repeat ANY Step 1 again
4. Do ANY Step 2 which is an opposite to ANY Step 1 in directional and /or  magnitude ( maybe time, or x,y,z and T ) vector to Any Step 1
5. Return to Initial Position
6. Loop the above 5 steps R times.

A detailed work flow would be followed by a simple diagram.

An earlier attempt to mash creativity with science as far back as July 2008 was the now redundant Ohri Framework

at https://decisionstats.wordpress.com/?s=ohri+framework (note WordPress timestamps can be manipulated so Google cache remains the true source of time series analysis of posts except when affected by black hat SEO )

Author: Ajay Ohri

http://about.me/ajayohri View all posts by Ajay Ohri