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2 votes
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Approximation of the law of a stochastic process

Hello Dear fellows, I thank you in advance for your help and ideas. I have just read an article and want you to help me understand the rational behind a part of it. We have two processes $v_t$ and $...
Averroes's user avatar
  • 375
0 votes
1 answer
207 views

Copulas and marginals thereof

Hello everyone, I recently became aware of the existence of the copula concept. So, I have been reading a few things about copulas lately, but I cannot seem to find information on the following ...
ngiann's user avatar
  • 103
1 vote
1 answer
294 views

Stability of discrete queue (new twist)

Hi, I am new to queueing theory. I am interested in a question that I feel should be fairly basic, yet I haven’t really found a clear solution to it. Hopefully somebody here can help me. We have a ...
Pradipta's user avatar
  • 501
1 vote
0 answers
177 views

Conditioning over Conditional probability? (also: $\phi$-mixing sequences)

For two sub $\sigma-$fields $\mathscr{F}$ and $\mathscr{G}$ of a probability space $(\Omega , \mathscr{A} , P)$ we define $\phi$ mixing as follows: $$ \phi(\mathscr{F},\mathscr{G}) = \sup \{ |P(G|F) - ...
Rohit's user avatar
  • 11
0 votes
1 answer
275 views

Conditional distribution of the modulus of the output of AWGN channel given the modulus of the input

Hi everyone, I will be too happy if anybody help me find a solution for the following problem. In fact, I have a big problem that I could not solve it for weeks. Assume that we have we have two ...
Farzad's user avatar
  • 197
1 vote
2 answers
175 views

is there an interpretation to the inverse of $I-M$ in multitype branching process, where $M$ is the mean matrix?

Assume we have a multitype branching process, i.e., we have a mean matrix $M_{ij}$ and $M_{ij}$ is the expected count of generating $j$ from $i$ in one time step, i.e.: $M_{ij} = \sum_{r} n(r,j)P(r | ...
rolling stone's user avatar
1 vote
3 answers
291 views

Is any bias introduced from initial clustering

I hope this is an appropriate forum for this question, and I asked on math.stackexchange as well. If it doesn't belong, I don't mind closing this. If my questions is not clear, please just let me ...
awshepard's user avatar
  • 115
1 vote
1 answer
221 views

Estimating the Distribution of a Very Large Population of Known Size and Unknown Variance

I would like to estimate the distribution of a very large population of known size but unknown mean and variance. I cannot assume anything about the underlying distribution. The values of observations ...
Misha's user avatar
  • 11
0 votes
0 answers
112 views

Markov renewal process with failure?

I hope this question is not too elementary for this site, and that it contains a sufficient degree of detail. I have a problem where I want to model sequences of variable length $\boldsymbol{e}_i = (...
tchakravarty's user avatar
3 votes
0 answers
108 views

"Soft" Voronoi cells or statistical criterias

It is probably some basic statistics question, but... Informally 1: How to choose "criteria", such that it will guarantee that error decision probability is less than "epsilon", and maximize ...
Alexander Chervov's user avatar
5 votes
0 answers
154 views

Positive estimator

Suppose that one knows how to generate (independent) random samples $X_1, X_2, \ldots$ distributed as the random varable $X$ with $\mathbb{E}[X]=\mu \in \mathbb{R}$. It is then easy to construct an ...
Alekk's user avatar
  • 2,133
3 votes
3 answers
316 views

Finding a distribution family that is preserved under mixture.

Consider the following $f_{t+1}(z)=p_{12} f_{t}(z/A)+ p_{21} f_{t}(z/B)+p_{22} f_{t}(z/(A+B))$, where $A$, $B$, and the $p$'s are constants and $f_t$ is a probability distribution. Are there any nice ...
David Shor's user avatar
3 votes
0 answers
206 views

representing vine copulas

Vine copulas is a way to represent multidimensional distributions (n-densitys) as a product of the n 1-marginal densities and a product of (n choose 2) bivariate copulas, where som of them are ...
kjetil b halvorsen's user avatar
1 vote
0 answers
236 views

density for Gaussian gram matrices

Let $Z \sim \mathcal{N}(0,\Sigma \otimes I)$ (so the columns of $Z$ are distributed $\mathcal{N}(0, \Sigma)$) and $A = Z'Z.$ Is there a name for the distribution on $A$? Is the density known?
AatG's user avatar
  • 922
1 vote
0 answers
101 views

calculating how much to oversell given an acceptable risk (statistics)

I have a shared resource with a finite capacity (let's say 100), and I have usage data (2 hours average of samples taken each 20 seconds). I accept a risk of 10% per year to reach the capacity. ...
Luís Fernando's user avatar
0 votes
2 answers
339 views

Efficient Method for Calculating the Probability of a Set of Outcomes?

Let's say I'm playing N different independent "games". For each game, I know the probability of winning, the probability of tying, and the probability of losing. From these values, I've also ...
Kenny's user avatar
  • 41
1 vote
1 answer
340 views

for a natural exponential family, A is the cumulant function of h?

Reading "Monte Carlo Statistical Methods" by Robert and Casella, they mention that if $f(x) = h(x) \exp(\langle \theta, x \rangle - A(\theta))$ defines a family of distributions for $X$, parametrized ...
AatG's user avatar
  • 922
2 votes
1 answer
380 views

Parity, Balls and Boxes

Start with a distribution $\mu$ on [n], and drop m balls into these n+1 slots independently and according to the distribution &mu. That is, we have iid random variables x 1 through x m ...
user2282's user avatar
  • 263
0 votes
1 answer
284 views

The density of x_1^n+x_2^n where x_i are Gaussian

We define a process $\chi_k^n=\sum _{i=1}^k x_i^n$ where x_i are iid gaussian processes. I try to find the distribution of $\chi_k^n$. If k=1 then we get $f(x^n=y)=\frac1n y^{\frac{1-n}{n}}\exp(-y^{2/...
RHG's user avatar
  • 1
3 votes
0 answers
143 views

finding rank-3 tensors compatible with a rank-2 tensor projection

I am interested in the following problem: Consider a rank-3 symmetric tensor $\boldsymbol{\sigma}$ with $\sigma_{ijk}$ where $\sigma_{ijk}$ can be 0 or 1, and the symmetry is with respect to any ...
Ed Wolf's user avatar
  • 41
0 votes
0 answers
319 views

Estimating a multinomial sum

I have the following sum \begin{equation} \sum_{r_1=q+1}^{\tau}\dots\sum_{r_\lambda=q+1}^{\tau}{\tau\choose r_1,\dots,r_\lambda,\tau-r_1-\dots -r_\lambda} (\Lambda-\lambda)^{\tau-r_1-\dots-r_\lambda} \...
Eduardo Lopez's user avatar
0 votes
1 answer
107 views

Can one combine (join) probabilities from 2 aspects of a related process?

Consider 2 related aspects of a process for prices in a financial market: time & return. Time Say I've identified a distribution that reasonably models the occurrence of the lengths of price ...
Jagra's user avatar
  • 111
3 votes
0 answers
171 views

Iterated Kumaraswamy distributions

The Kumaraswamy distribution has cdf $F(x;a,b) = 1-(1-x^a)^b$. Does anyone know any formulas or properties relating to iterations of this on itself, meaning $$ F_i(x;a,b) = 1-(1-F_{i-1}^a)^b$$ If ...
OctaviaQ's user avatar
  • 233
4 votes
0 answers
497 views

A Local CLT with large variance

For n an even integer, $0 \leq i \leq$ ${n} \choose{j}$, $1 \leq j \leq n$ let $X_{i,j}$ be a random variable taking values $\frac{n}{2}-j,0,j - \frac{n}{2}$ with equal probability. Let $S_{n}$ be ...
user2282's user avatar
  • 263
3 votes
0 answers
125 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. I'd be reassured to ...
R Hahn's user avatar
  • 2,791
1 vote
0 answers
61 views

Distribution for probability of an incorrect inference based on a comparison of only two samples?

I'm trying to demonstrate the problems of how taking a sample and assuming it reflects the population accurately can be problematic. Imagine say an urn with some large number of balls, black and ...
Tom G's user avatar
  • 11
3 votes
1 answer
320 views

Joint Law with 2 marginals and marginal of the spread

I have a question for you and thank you in advance for your answers and ideas. Let us suppose that we have the marginal distributions of two r.v X and Y, and also the law of X-Y (or any linear ...
Averroes's user avatar
  • 375
3 votes
1 answer
367 views

Random generation of subsets using conditional probabilities

Edit: Rewritten with motivation, and hopefully more clarity. I'm building a site for a card game called dominion. In it, people build 'decks' of 10 distinct cards from a set of (currently) ...
Nick Johnson's user avatar
2 votes
1 answer
250 views

Expectation of RVs with Poisson-type decay

I need to bound the expectation of a nonnegative random variable that satisfies a Poisson-type tail bound: $\mathbb{P}( X \geq t ) \leq \min( d \cdot (\frac{a}{t} )^{t}, \ 1)$ for $t > 0$ where $...
jat's user avatar
  • 23
2 votes
1 answer
254 views

Brownian Bridge under observational error

Suppose that $Z_t$ follows a simple discrete random walk $Z_t=Z_{t-1}+e_t$ , where $e_t$ are a bunch of uncorrelated normal variables with arbitrary variance sigma^2, and that there are observations ...
David Shor's user avatar
2 votes
0 answers
90 views

Limiting distribution of the cardinal of a Markovian set

Let $S_1=\lbrace u_1 \rbrace$ where $u_1$ is a random uniform drawing on $[0,1]$. To build $S_{n+1}$ draw $u_{n+1}$ uniformly on $[0,1]$ (independently from previous draws) and draw $v_{n+1}$ ...
Fred jouneau sion's user avatar
2 votes
1 answer
178 views

Maximal inequality over two indices

In Freedman's series of 3 books on Markov processes, I find that I keep on running into terms like: P[$\max_{0 \leq s \leq 1, s \leq t \leq rs}$ | B(t) - B(s) | > $\epsilon$] in the background of ...
little_probabilist's user avatar
0 votes
1 answer
207 views

Correlation of Statistical Tests

Suppose I have a sequence $\{x_i\}_{i=1}^\infty$ of zeros and ones. I want to test if they are randomly generated according to a conjectured scheme (the example to keep in mind is that they are ...
Ben Weiss's user avatar
  • 1,588
0 votes
0 answers
138 views

Why do I not use post hoc tests with a 2 x 2 factorial?

I know this is an obvious answer. I am probably over thinking what I'm doing, but I cannot recall. Does it have to do with not having enough variables to compare the various means?
Mike Kennedy's user avatar
0 votes
0 answers
37 views

Compatibility of 2-copulas

An $n$-copula is the joint distribution function of a distribution on $[0,1]^n$ with uniform marginals. A family of 2-copulas $(C_{i,j})_{i<j\leq n}$ is compatible if there exists an $n$-copula $\...
Stefan Perko's user avatar

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