2
votes
1answer
207 views
Bayesian inference on sum of random variables
Let $X_1$, $X_2$, ..., $X_n$ be iid RV's with range $[0,1]$ but
unknown distribution. (I'm OK with assuming that the distribution
is continuous, etc., if necessary.)
Define $S_n …
0
votes
0answers
18 views
Dirichlet process, uniform “confidence bands”
In Stigler's (1977) ``Fractional order statistics, with applications,'' he says (page 545) that he considers a special case of Ferguson's (1973) Dirichlet process (DP). Specifical …
0
votes
0answers
41 views
Maximizing the time we reach to a threshold in a series of numbers [closed]
Hello everyone,
I have a problem and I really don't know what kind of mathematical method should I apply to solve or model my problem. I would be thankful If anyone can give me so …
2
votes
3answers
160 views
Comparing distributions with moments
Suppose I have two variables $X$ and $Y$ which have continuous p.d.f.s $f$ and $g$ on the positive real line. I know that the moments $\mathrm{E}[X^n] > \mathrm{E}[Y^n]$ for suffic …
2
votes
0answers
58 views
Convergence of sample mean
I have a two-index succession of real-valued random variables $x_{t,n}$ such that $\lim_{n\to\infty} x_{t,n} = x_t$, for all $t$ and suitable limit r.v. $x_t$.
I would like to pro …
2
votes
1answer
78 views
Bounds on tails with moments
A sort of continuation of http://mathoverflow.net/questions/96165/comparing-distributions-with-moments
Suppose I have some estimates of the moments of a non-negative random variab …
0
votes
0answers
51 views
Distinguishing two normal distributions given 1 vs. n samples
Let $S$ be a vector of length $n$ where each entry follows a Normal distribution. We know that one entry (say, at some index $s$ which we don't know) follows $\mathcal{N}(E_c,V_c/m …
0
votes
0answers
138 views
Distance distribution of 2D persistent random walks [closed]
This question deals with 2D random walks on continuous space (not lattices). A continuous-time persistent random walk is one where the particle 'remembers' its velocity $v(t)$ for …
6
votes
4answers
222 views
Laplace transform on the cone of positive-definite matrices
The title says most. Let $P_p$ be the cone of positive-definite $p \times p$ matrices.
One can define the Laplace transform of (the distribution of) a random matrix with values i …
1
vote
1answer
132 views
A uniqueness proposition involving Erf, the error function
This is a generalization of a previous MO question, "Reducing system of equations involving Erf, Error Function".
Consider the system of equations:
$$1/2 + {\rm Erf}(x) - \alpha …
3
votes
2answers
256 views
Reducing system of equations involving Erf, Error Function
I have a system of equations:
$$1/2 + {\rm Erf}(x) - {\rm Erf}(\frac{x+y}{2})=0$$
$$-1/2 + {\rm Erf}(y) - {\rm Erf}(\frac{x+y}{2})=0,$$
Where $x \le y$ and ${\rm Erf}$ is the Err …
2
votes
1answer
174 views
metric for signal to noise ratio in communication systems
I'm not quite sure about how to define a good measure of the quality of a communication channel with fading and interference. Let us assume the simplest case, where a node in a net …
3
votes
2answers
873 views
Conditional Probabilities - The Mad Kings' Draft
The Problem of the Mad King's Draft:
Suppose there is country which is ruled by a king who can be either 'mad' or 'normal.' The king rules a a large country with a continuum of ci …
1
vote
0answers
59 views
Is a parametric family which is universally consistent for multiple quantiles impossible?
Suppose I am dead-set on using Bayesian inference on independent and identically distributed data, but I'm lazy and insist on using a parametric likelihood function come what may. …
1
vote
1answer
165 views
Inversion of Moment-generating functions (aka Laplace transform of prob dist)
I want to embark on a project about inverting a Moment-generating function of a probabilitiy distribution. That is given by
\begin{equation}
M_X(t) = \text{E} \exp(tX)
\end{eq …

