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Feb 15, 2019 at 23:22 comment added Nate Eldredge Presumably you want to require that the distribution depends on the parameter(s) in some regular fashion? What should the parameter space be - how many dimensions?
Feb 15, 2019 at 22:40 answer added Steve timeline score: 2
Feb 13, 2019 at 13:39 comment added Denis Kolesnikov If I find the family distribution described above, I can model the noises in tensor elements by proper choice of noise for Tucker core and factors. If such a family doesn't exist, my only hope is that the central limit theorem guarantees that independently distributed noises in tensor decomposition factors cause the Gaussian noises on the tensor elements.
Feb 13, 2019 at 13:38 comment added Denis Kolesnikov Formally it satisfies the conditions, but I want to find distributions with non-zero dispersion. My problem originates from tensor decomposition issue. Let us consider the Tucker decomposition for example - what is the connection between noises in Tucker core and factors and noises in tensor elements? en.wikipedia.org/wiki/Tucker_decomposition
Feb 13, 2019 at 12:54 comment added Steve The dirac measures $\delta_x$ parametrized by $x \in \mathbb{R}$ would qualify? Or does "parametric" mean something more specific here?
Feb 13, 2019 at 11:24 history edited Denis Kolesnikov CC BY-SA 4.0
added 11 characters in body; edited title
Feb 13, 2019 at 11:23 comment added Denis Kolesnikov The difficulty is in the word "parametric" which I forgot to add in the post title(( Thanks to you it is fixed.
Feb 13, 2019 at 11:16 comment added Seva Take your favorite subring of the real numbers and consider the family of all distributions assuming values in this subring?
Feb 13, 2019 at 10:30 review First posts
Feb 13, 2019 at 11:43
Feb 13, 2019 at 10:28 history asked Denis Kolesnikov CC BY-SA 4.0