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This tag is used if a reference is needed in a paper or textbook on a specific result.
93
votes
0
answers
17k
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Hironaka's proof of resolution of singularities in positive characteristics
Recent publication of Hironaka seems to provoke extended discussions, like Atiyah's proof of almost complex structure of $S^6$ earlier...
Unlike Atiyah's paper, Hironaka's paper does not have a histor …
14
votes
1
answer
3k
views
How is the "conformal prediction" conformal?
The question is clarified by Prof.V.Vovk. See his answer below for discussion.
Recently, early works of Gammerman, Vanpnik and Vovk[4] are rediscovered by Wasserman et.al[1] and proposed it as a promi …
48
votes
2
answers
14k
views
Research situation in the field of Information Geometry
I am now doing an article survey on the field of information geometry started by S.Amari and Barndorff-Nielson. I want to know some research situation in this field.
I have read (4) and parts of (3). …
2
votes
Accepted
Expand the pdf of Wishart distribution into power series via orthogonal polynomials
Note that the Laguerre orthogonal polynomials are in form of [1](bearing combinatoric interpretation) and [3]
\begin{align}
& L_n^\nu(x)=(-1)^n\sum_{m=0}^n \binom n m
\prod_{i=1}^m (\nu+2(n-i))(-x)^{ …
2
votes
Accepted
Norm bounds on spectral variation and eigenvalue variation
The Hermitian case is more like a state-of-art answer. A good review of results in given in [Holbrook].
$\nu(A,B)\leq\|A-B\|$ for the operator norm. This is a direct consequence from Weyl's inequalit …
32
votes
3
answers
12k
views
What is the Katz-Sarnak philosophy?
It has been recently mentioned by a speaker (his talk is completely not relevant to random matrix theory/RMT though) that modern statistics, especially random matrices theory, will help solving some n …
7
votes
0
answers
270
views
Relations between Betti numbers for clique complex
Given a clique complex $K$ constructed from a discrete set of vertices (i.e. its faces are isomorphic to the set of cliques in the 1-skeleton of $K$.), it seems that the Betti numbers $\beta_k$ define …
1
vote
Bounding the "spikiness" of a probability distribution
Non-Gaussianness is an ambiguous concept. In the continuum of
probability distributions such as the uniform, where all events are
clustered into a given range and equally likely. On the other s …
27
votes
4
answers
13k
views
Hamiltonian, Lagrangian and Newton formalism of mechanics
If my thinking is wrong please let me know. I have little knowledge on beyond-college physics.
For research purposes, I read a few introductions to these three formalisms of classical mechanics [1,2, …
4
votes
2
answers
2k
views
Advanced reference and roadmap about random matrices theory
There is few posts on MO that asked about reference on this topic, and I found some difficulty during the process of getting myself into the subject so here is the question.
I really want to hear fro …
2
votes
Accepted
Does Irreducibility holds for the Ergodic non-stationary Markov chain?
Generally, i want to know what are the main differences between
Ergodicity of a stationary Markov chain and non-stationary one?
This question could be a better question if formulated better.
( …
6
votes
What does $\pi$ in the term $\pi$-system stand for?
"D. P. Bertsekas and S. E. Shreve [39, p. 133] use the term Dynkin
system, while P. Billingsley [43] and E. B. Dynkin [111] himself use
the term $\lambda$-system. B. Fristedt and L. Gray [129, …
18
votes
Manifold of probability measures: connections between two types of metrics
In response to the critical comments below I revised my answer. Hope this is more helpful!
(1) Two kinds of metrics are defined on generally different spaces.
It is not fair to compare these two met …
4
votes
Wiener Measure measure on functions?
The trick is to regard the Wiener measure as a random sample function $f(x,t)$ where $x\in (\Omega, \mathscr{F},P)$ and $t\in \mathscr{T}$ is the time index set. Then the whole stochastic process can …
4
votes
Accepted
Square integrable conditional expectations as projections
No. Vector space structure is not enough, we actually need a compatible lattice structure to make things work. To apply the conditional expectation operator $E(\bullet\mid Y)$ onto the Hilbert space c …