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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.
1
vote
Accepted
Difficulty with a formula for a probability related to card shuffling
Perhaps its easiest to first ask for the probability $P_0$ that the card does not move at all ($k=0$). One way to achieve this is to cut immediately below and above that card, with probability $1/2\ti …
12
votes
Accepted
Probability over a plane
well, to find a "natural way" to distribute the coefficients $b,c$ in the plane, you could treat this problem as the special case $n=2$ of a classic problem in random-matrix theory: take an $n\times n …
3
votes
Accepted
What is the probability that you roll a dice with s sides for n times and t sides appeared o...
This is a variation of the combinatorial problem considered in section 5 of
Some new aspects of the coupon collector’s problem (2003).
The $t$ singleton sides (sides which appear once) can be chosen …
0
votes
Accepted
Distributions of Time Derivatives of Stochastic Processes
I would think the answer is "no" to both questions.
Let me abbreviate $v(t)=du/dt$, so $u(t)=u(0)+\int_0^t v(t')dt'$. Now ask for the expectation of $u^2(t)$. You'll need to know how $v(t')$ and $v( …
1
vote
Non-central Wishart as mixture of central Wisharts?
arXiv:1512.08159 shows that the distribution of the scalar Schur complement in a noncentral Wishart matrix is a mixture of central chi-square distributions with different degrees of freedom. For the c …
3
votes
Accepted
What is this distribution?
Birthday problem:
The probability density function of the number of distinct values $Z$ for population size $M$ and sample size $N$ is given by
$$P(Z = j) = \binom{M}{j} \sum_{k=0}^j (-1)^k \binom{j} …
2
votes
Expected maximum of Laplacian random variables
The cumulative distribution $F(y)$ of $Y$ is the product of the cumulative distributions $f(x)$ of $X$, because
$$F(y)=P[(X_1<y)\cap(X_2<y)\cap\cdots\cap(X_n<y)]=\{f(y)\}^n.$$
Hence
$$F(y)=2^{-n}e^{(n …
1
vote
Accepted
About Palm distribution
C. Palm's theory of spatial point processes relies heavily on measure theory in an abstract setting. A more gentle introduction is given in the lecture notes Conditioning in spatial point processes. S …
2
votes
Accepted
What is a complementary binomial distribution function $\Phi[a; n,p]$?
The complementary binomial distribution is defined by
$$\Phi(a;n,p)=\sum _{j=a}^n \binom{n}{j} p^j(1-p)^{n-j},\;\;0<p<1,\;\;0\leq a\leq n.$$
see The derivation of diffusion-jump modes for power plant …
3
votes
Does anyone recognize the following theorem on probability distributions?
Q: Does anyone know any more information about this theorem? Does it have a name? Why is it true?
This result is simply referred to as "Meier's theorem" in the literature. It follows from the property …
5
votes
How to calculate the Equation 3.2.34 in the figure?
All of this relies on the isotropy of the uniform distribution of a vector on the unit sphere. Align your coordinate axis with the unit vector $v$, so that $v\cdot a=a_1$. Then use that $\mathbb{E}[a_ …
2
votes
Accepted
The distribution of product of normal matrices
The mean of the matrix elements of $Y$ is zero, because the matrix elements of $Q$ and $K$ average to zero. The variance is given by
$$\mathbb{E}[Y_{ip}^2]=\sum_{jkl\alpha\beta\gamma}\mathbb{E}[X_{ij} …
2
votes
Accepted
How to identify a point process as Poisson point process with (possibly) random intensity me...
$\bullet$ The answer to the first question is affirmative, but the notion of "independence" needs to be modified if we allow for the point process to be directed by an external random variable.
A Pois …
6
votes
How many proofs of the Polya's recurrent theorem are there?
Shrirang Mare (2013) gives a proof of Polya's theorem by formulating it as an electric circuit problem and using Rayleigh’s short-cut method from the classical theory of electricity. A similar proof w …
5
votes
Accepted
A question about brownian motions
The precise answer depends on the initial condition, let's assume you start the Brownian motion (with diffusion constant $D$) at time $t=0$ in some point $x_0\in(a,b)$, then you ask for the probabilit …