difference between pdf and accumulative frequency ?

bobbym · 2012-02-06 01:02:30

Hi model;

I wish I could help with that but I do not see how Bayes theorem can do what you want.

model · 2012-02-06 01:02:56

Or please mention some useful application where Bayes' distribution is applicable .

bobbym · 2012-02-06 01:11:22

Hi model;

This is one application of Bayes theorem. It is the best explanation I have seen. I know it is long and gruesome but please read it to get an idea about your question. It has some interesting examples too.

http://betterexplained.com/articles/an- … s-theorem/

Remember that Bayes theorem can reduced to a formula. Also it is as far away from a Kalman filter as a nail is to building a house.

model · 2012-02-06 01:19:19

oh thanks i would like to read it .

but i really want that math is fun site should write some use full practical application of Bayes theorem .

model · 2012-02-06 01:20:46

also what is the difference between bayesian and Bayes theorem or filter ?
Are both not same ?

model · 2012-02-06 01:28:29

oh yes Bayesian is relate to Kalman .
Can we please have some discussion on Bayesian filter ?

bobbym · 2012-02-06 01:30:36

Hi model;

also what is the difference between bayesian and Bayes theorem or filter ?
Are both not same ?

That is difficult to explain, Bayes theorem is a mathematical formula. A Bayesian filter can be an algorithm that uses Bayes theorem. It can be much more complicated or not.

If this sounds tough right now it is because you are not yet familiar with the tools you need to understand it. It is like trying to build a house without knowing how to use a hammer or what a nail is. I can help you with the tools but it will take time.

Please read the page I gave you and then we can discuss it together.

model · 2012-02-06 03:00:27

bobbym wrote:

Hi model;
also what is the difference between bayesian and Bayes theorem or filter ?
Are both not same ?
That is difficult to explain, Bayes theorem is a mathematical formula. A Bayesian filter can be an algorithm that uses Bayes theorem. It can be much more complicated or not.
If this sounds tough right now it is because you are not yet familiar with the tools you need to understand it. It is like trying to build a house without knowing how to use a hammer or what a nail is. I can help you with the tools but it will take time.
Please read the page I gave you and then we can discuss it together.

hmm ok .

model · 2012-02-06 07:10:38

How can i use Bayes theorem for feature extraction . like recognizing a hand . ?

bobbym · 2012-02-06 07:16:49

Hi model;

Good morning. You could use Bayes theorem to figure the probability that the feature you have found is a hand. But it can not do a job as complicated as that by itself.

Did you cover that page? If so, we are ready to start with some examples.

model · 2012-02-06 17:14:57

Hi I read out that link .
but please make it fast to complete this .
i want to use Bayes or Bayesian theorem for hand feature extraction.

bobbym · 2012-02-06 19:30:36

Hi model;

Here is a really easy one. No one woud ever use Bayes for this problem, it is just an example.

What is the probability that the second card of a deck is red if we are told that the first card is black?

P(A) = probability that second card is red.

P(B) = probability that first card is black.

Check this out.

Math Is Fun Forum

#26 2012-02-06 01:02:30

Re: difference between pdf and accumulative frequency ?

#27 2012-02-06 01:02:56

Re: difference between pdf and accumulative frequency ?

#28 2012-02-06 01:11:22

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#29 2012-02-06 01:19:19

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#30 2012-02-06 01:20:46

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#31 2012-02-06 01:28:29

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#32 2012-02-06 01:30:36

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#33 2012-02-06 03:00:27

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#34 2012-02-06 07:10:38

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#35 2012-02-06 07:16:49

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#36 2012-02-06 17:14:57

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#37 2012-02-06 19:30:36

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