Tagged Questions

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 …

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