New answers tagged

4 votes

Simplifications assuming function is a probability distribution

$Version (* "13.1.0 for Mac OS X x86 (64-bit) (June 16, 2022)" *) Clear["Global`*"] Use TagSet or ...
  • 130k
4 votes

Simplifications assuming function is a probability distribution

ProbabilityDistribution does precisely that. https://reference.wolfram.com/language/ref/ProbabilityDistribution.html
3 votes

Unclear piece of the documentation to BinomialDistribution

For discrete distributions use Sum: Sum[PDF[BinomialDistribution[n, p], k], {k, -\[Infinity], \[Infinity]}] (* Piecewise[{{1, n >= 0}}, 0] *)
  • 1,599
0 votes

Integration of linked PDFs over probability simplex

For $d=2$ (i.e., $p_1+p_2==1$), the resulting integration of f[a1, 1] f[a2, p2] is But I'm not convinced there's a nice for closed-form for $d=3$ for general ...
  • 35.9k
4 votes
Accepted

How to Work Student t-Distribution

Try ...
  • 1,765
2 votes

Linear extrapolation

I also see nothing wrong with 13.36 ...
  • 119k
2 votes
Accepted

Linear extrapolation

Without considering logs, the extrapolation looks ok. ...
8 votes

Mathematica Related Book, Website or Github on Bayesian Statistics/Analysis

You may be interested in the book by Phil Gregory: Bayesian Logical Data Analysis. The MMA code is available through the publisher's website, under Resources. A completely different approach to ...
4 votes

Entropy of a probability distribution (symbolically)

I was just recently dealing with this, so I thought I should leave this line here for anyone who winds up finding this question too: ...
  • 41
1 vote

Mean of List of Coordinates

Given alist = {{1, 2}, {1, 3}, {2, 4}, {2, 2}, {2, 3}} then groupedMeans = GroupBy[alist, First -> Last, Mean] gives ...
  • 11.2k
2 votes
Accepted

Pattern in lists

This could be a starting point for checking similarity between trials. Using NeedlemanWunschSimilarity we see that there are 3 clusters. ...

Top 50 recent answers are included