Chito Jovellanos asked: Are there other examples anyone could point me to re J
implementations of Bayesian stats?
If you know the distribution of a population, then deduc computes the
distribution of a sample.
If you know the distribution of a sample, then induc computes the distribution
of the population.
deduc =. (* (% +/)) ([ ,: %:@*) *`%`:3@(-.@((,: , 1"_) % +/@]))
T =. -@(+#)
induc =. (T&}:,}.)@(T~ deduc T)
If you pick 10 items from a population of 50 good and 50 bad items, then you
get 5 plusminus 1.5 of each sort.
10 deduc 50 50
5 5
1.50756 1.50756
If you pick the whole population, then the standard deviation is zero, of
course.
10 deduc 5 5
5 5
0 0
If you pick 5 good and 5 bad items from a population of 100, then the
population is expected to contain 50 plusminus 13 of each.
5 5 induc 100
50 50
13.2868 13.2868
If you pick the whole population, then the standard deviation is zero, of
course.
5 5 induc 10
5 5
0 0
If your sample is empty, but there may be 3 types of items in a population of 3
items, then the population contains 1 plusminus 1 of each type.
0 0 0 induc 3
1 1 1
1 1 1
induc is Bayesian stats!
--- Den ons 24/11/10 skrev Chito Jovellanos <[email protected]>:
> Fra: Chito Jovellanos <[email protected]>
> Emne: [Jprogramming] Bayesian Stats
> Til: [email protected]
> Dato: onsdag 24. november 2010 21.17
> Are there other examples anyone could
> point me to re J implementations of
> Bayesian stats? In searching various forum posts,
> I've only seen one re
> coin tosses in http://www.jsoftware.com/jwiki/SeanOByrne
>
>
>
>
> My problem domain is estimating the likelihood that a
> transaction will not
> be processed correctly (per some set of messaging
> attributes such as number
> of tags, degree of nesting/recursion, messaging standard
> used, etc)
>
>
>
> Thanks in advance
>
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