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 Yearling
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  • 0 posts edited
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  • 17 votes cast
Jul
3
comment Dataset vs an association of associations
My understanding of Dataset and Association was greatly improved by watching, and listening(!), to these videos: Wolfram, YouTube, and YouTube.
Jul
2
comment Dataset vs an association of associations
Your assoc2lev merges two nested Associations similar to Association[a->x,b->y,Association[c->z]]. Although this is syntacticly correct, it is perhaps less error prone to write assoc2lev=<|1-><|"a1"->1,"a2"->2|>,2-><|"a1"->3,"a2"->4|>|>.
Jun
29
comment How to plot ternary density plots?
It appears that your tick marks are not parallel to the side they relate to, i.e. they are 60 degrees off. Compare yours with the other answers.
Jun
9
comment Show More Rows of Dataset
+1. This is very nice. Thanks!
May
28
comment How to perform Bayesian optimization with Mathematica?
There are very few pre-packed Bayesian expressions in Mathematica. I have recommended the book by Phil Gregory in another post ( mathematica.stackexchange.com/questions/66140/… ). It comes with a large Mathematica notebook.
May
20
comment Simple way to concatenate Dataset columns
I am actually surprised that Join works on Dataset-s, since the documentation states that Join works Association objects (in Details). There is no mention of Dataset-s.
May
19
comment Simple way to concatenate Dataset columns
+1. I regard the Association[.] as the more fundamental data structure and I use Dataset[.] as a mere wrapper to limit large outputs.
May
4
awarded  Yearling
Apr
17
comment Export PDF margins different in V9 & V10 compared with version 7
A4 paper is 595x842 printer points and your ImageSize->{x,y} is larger than that. So the Graphics must be scaled to fit onto one physical A4 page. Mathematica version 8.0 gives the same result as your version 9 image.
Feb
14
comment Computational Bayesian analysis in Mathematica: Any plans to develop MCMC?
I don't know whether WRI has any plans for developing MCMC. However, Phil Gregory has developed a MCMC package in Mathematica. You can download it at bit.ly/1tdaYhG under "Resources". BTW, I can recommend his book "Bayesian Logical Data Analysis for the Physical Sciences" in which he explains MCMC at length.
Jan
9
awarded  Commentator
Jan
9
comment How to obtain the best possible NonlinearFit
This is actually a linear fit. Since model2 is linear in the parameters {a,b,...,f}. You get the same solution with: Normal@LinearModelFit[data, {1,x,x^2,x^3,x^4,x^5}, x].
Jan
9
comment How to obtain the best possible NonlinearFit
Is there a typo in the model? Since a+b/(c*x^2) is essentially the same as a+b/x^2. Do you mean a+b/(c+x^2)?
Dec
22
comment Interpretation of CopulaDistribution
The last example has a typo "Abx" instead of "Abs", which explains the error.
Dec
22
answered Interpretation of CopulaDistribution
Dec
21
comment Buying a new computer (specifically for Mathematica)
The performances of Mr.Wizard's or Halituran's machines are difficult to beat. Just for comparison, I use a 13" Retina Macbook Pro (type Late 2013) with 2.8 GHZ Intel Core i7 CPU (2 cores, 4 hyperthreads) and 16 GB SSD. The Mathematica 10.0.2 Benchmark[] yields a performance of 1.426 .
Nov
23
answered Mathematica learning resource dealing with bayesian inference
Jul
4
awarded  Autobiographer
Jul
4
comment Calculating probabilities symbolically
The only example I ever encountered of a symbolic evaluation of Bayes equation is by Gregory Klopper in this link.
Jun
23
awarded  Nice Answer