Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with pr.probability
Search options not deleted
user 169594
Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.
0
votes
Gaussian approximation of the characteristic function of Rademacher sum
A general comment which admittedly doesn't answer the question: One cannot choose the $a_i$ so that the sum would be Gaussian. For one can break up the sum into two independent pieces, and necessarily …
- 171
1
vote
Is this statement of the Lévy–Khintchine formula ill-posed?
Apologies if this is an inappropriate place to post a comment (I am a newbie). But I wanted to mention that an easier to read treatment of infinite divisibility is Chapter 3 of the classic book by Gne …
- 171
4
votes
What concept does covariance formalise?
To add a few additional comments: Full statistical independence of two variables, say X and Y, is actually equivalent to the absence of correlation between f(X) and g(Y) for all functions f and g. And …
- 171
2
votes
Is there a way to reconstruct the convolution $(f * g)(x)$ of $f$ with a Gaussian $g$ from s...
I feel that a Fourier-based solution should be possible along these lines: Let $h(t)=\int f(x) \varphi (x-t) dx$ represent the convolution and $f(x)$ be sufficiently bounded. Using sampling rate $1$ f …
- 171