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Questions tagged [pr.probability]

Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

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Bounds for number of coin toss switches

I toss $n$ biased coins and I want to count the number of times you get a H followed by a T or a T followed by a H. I call these switches. So for example if I get HHTTHTHHHT then I have $5$ switches ...
Anush's user avatar
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Properties of the Euler Discretization of a diffusion

Let $X$ be a continuous 1-d diffusion: $$ dX_t = a(X_t)dt + b(X_t)dW_t, X_0 = x. $$ W is a standard Brownian Motion and $a(\cdot)$ and $b(\cdot)$ can have nice regularity properties. Let $Z^n_1,Z^...
weakstar's user avatar
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Probability of an edge appearing in a spanning tree

Hi guys, let's say I have a connected, undirected graph with many nodes. I am interested in finding the probability that an edge appears in any spanning tree of the graph. I could apply some of the ...
user24603's user avatar
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Is it known that every PDF continuous in all $R^n$ has a maximum? [closed]

I'm working with maximum a posteriori estimation and managed to show that every probability density function that is continuous in all $R^n$ always has at least one global maximum. I've search around ...
Dimas Abreu Dutra's user avatar
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Again a question related to uncorrelatedness and independence.

Consider a random vector $\mathbf{Z}$ of length $N$ whose elements are i.i.d. and zero-mean. We construct two new scalar random variable $X$ and $Y$ from $\mathbf{Z}$ as follows: $X = \langle\mathbf{...
Farzad's user avatar
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1 answer
426 views

Lower bounds for partial sums of multiplicative functions

The motivation for this enquiry is to understand something about the impact of multiplicativity for $f:\mathbb{N}\rightarrow\mathbb{C}$ on the conditional convergence of Dirichlet series $$F(s)=\...
Kevin Smith's user avatar
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Distribution wanted

I have a centered random variables $Y_1,Y_2$ which first 10 moments are given respectively by $$ 0, 1, 0, 6, 0, 90, 0, 2520, 0, 113400 $$ $$0, 1, 0, 32/3, 0, 36847/100, 0, 436879364/15435, 0, ...
Piotr Miłoś's user avatar
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630 views

Units in Ornstein-Uhlenbeck(OU) process

Take an OU process characterized by X(0) = x dX(t) = - a X(t) dt + b dW(t) where a,b >0. The parameter a is usually interpreted a dissipative term, and b is a ...
Mark4483's user avatar
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2 answers
126 views

Unique coupling

Let $X$ be a Polish metric space, and let $\mu,\nu$ be two Borel probability measures on $X$, when is the product measure the only coupling of $\mu$ and $\nu$. More formally, let $$\Gamma(\mu,\nu):=\{\...
Andrea Aveni's user avatar
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How far does a random walker travel before returning to the origin?

Consider a (continuous time) simple symmetric random walk on $\mathbb Z$, starting from the origin. Let us denote this random walk by $\{X_t: t\geq 0\} $. It is well known that this random walk is ...
Tiago's user avatar
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Can we further restrict the space of test functions to $C_c^\infty (X)$ in weak convergence?

Let $X := \mathbb R^n$, $C_b(X)$ the space of all real-valued bounded continuous, $C_c(X)$ the space of all real-valued continuous functions with compact supports, and $C_c^\infty(X)$ the space of ...
Analyst's user avatar
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Given positive $\epsilon$ and $c$, find a density $\phi$ such that $t\phi(\epsilon/t) \ge c \|\phi'\|_\infty$ for all positive $t$

A nice density (on $\mathbb R$) is function $\phi:\mathbb R \to \mathbb R$ such that (1) $\phi(x) \ge 0$ for all $x \in \mathbb R$, (2) $\int_{-\infty}^\infty \phi(x) \mathrm{d}x = 1$, (3) $\phi$ is ...
dohmatob's user avatar
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Do these $L^p$ type statistics characterize distributions?

Define for real valued random variable $X\in L^p$, the $p$-statistic $$X_p:=\arg\min_{c\in \mathbb R}E[|X-c|^p].$$ For example $X_1$ is the median of $X$, $X_2$ is the mean of $X$ and also $X_\infty$ ...
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Closed-form CDF for bivariate normal distribution in point $(\Phi^{-1}(p),\,\Phi^{-1}(p))$

Let $\Phi(x)$ be a CDF of standard normal distribution and $\Phi^{-1}(p),\,p\in(0,1)$ its inverse. It is evident that $$ \mathbb{P}(X<\Phi^{-1}(p))=\Phi(\Phi^{-1}(p))=p, $$ where $X\sim N(0,1)$. Is ...
Fancier of Mathematica's user avatar
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Mathematics Roadmap [closed]

I immediately apologize for my English, Google translator is my assistant. I couldn't find the information in my own language. My question is addressed to people who understand mathematics. I hope for ...
Student's user avatar
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Integral form of expectation with respect to complex random variables [closed]

Let $h$ be a random variable and $g(h)$ be a real-valued function of $h$. We know that if h is a real-random variable then: $E_h[g(h)] = \int_{-\infty}^{\infty} f(h) g(h) dh$ where f(h) is the PDF of ...
Bertrille's user avatar
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2 answers
534 views

Wasserstein distance between $N(0,1/d)$ and the marginal distribution of $x_1$ when $x=(x_1,\ldots,x_d)$ is uniform on the unit-sphere in $R^d$

Let $x=(x_1,\ldots,x_d)$ be uniformly distributed on the unit-sphere in $\mathbb R^d$. Question. What is a good upper-bound for Wasserstein distance between $N(0,1/d)$ and the marginal distribution ...
dohmatob's user avatar
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Sufficient conditions for finite mean of a non-negative random variable

Consider a continuous random variable that takes only non-negative values. Let the cumulative distribution function be $F(\cdot)$. Consider the following condition: $$\lim_{x\rightarrow\infty} x(1-F(x)...
liuchun deng's user avatar
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2 answers
313 views

Some doubts on proof of pathwise uniqueness of a stochastic differential equation

I quote a paper from Delbaen and Shirakawa (2002). I will write in italics my observations/questions. Starting from a stochastic differential equation of the form: $$dr_t=\alpha\left(r_{\mu}-r_t\...
Strictly_increasing's user avatar
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519 views

Bounds on variance of sum of dependent random variables

Let $x_1, \ldots, x_n$ be possibly dependent random variables, each taking values $x_i \in \{0, 1, 2\}$. Suppose further that in every outcome the number of random variables that equal 2 is exactly 1. ...
Mathman's user avatar
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Can we say that $f_\infty(t)=g_\infty(t) \text{ a.e}$?

Let $(E,\mathcal{A},\mu)$ be a finite measure space. Let $\{f_n\}$ and $\{g_n\}$ two uniformly integrable sequences such that: $$ \qquad\forall n\geq 1~:~ f_n(t)=g_n(t)~~ \text{ a.e.}\tag1 $$ $$ \...
Karim KHAN's user avatar
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1 answer
285 views

Explicit examples of (probability) measures on $\prod \mathbb{R}$

Let $\prod_{n \in \mathbb{N}} \mathbb{R}$ be equipped with the Tikhonov product of the Euclidean topologies on $\mathbb{R}$ and let $B$ the corresponding Borel $\sigma$-algebra. What is are some ...
ABIM's user avatar
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3 answers
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Reference request: book on stochastic calculus (not finance)

I am looking at fractional Gaussian/Brownian noise from a signal theoretic and engineering point of view. In particular, I am looking at the math behind what defines these noise processes and what ...
Attila Kinali's user avatar
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1 answer
463 views

Expected number of connected components as $V(G)$ grows large

Let $E^c_n$ be the expected number of connected components of a simple undirected graph on the vertex set $\{1,\ldots,n\}$. (Every possible edge in $\big\{\{a, b\}: a, b\in \{1,\ldots,n\} \land a \neq ...
Dominic van der Zypen's user avatar
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3 answers
639 views

Non-smooth Ito lemma for semi-martingales

Is there an extension of Ito's Lemma where $X_t$ is a semi-martingale and $f:\mathbb{R}^d \rightarrow \mathbb{R}$ is a function which is not smooth? I've been looking but have not found much, any ...
ABIM's user avatar
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1 answer
558 views

Counterexample: weak convergence doesn't imply $L^1-$convergence [closed]

I'm not sure my question is of research level, but I cannot find the answer in the existing reference. Let $\mu_n$ be a sequence of probability measures on $\mathbb R$ satisfying $$\int_{\mathbb R}xd\...
CodeGolf's user avatar
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1 answer
163 views

$\int_0^t f(s)\,dB_s$ normally distributed, mean and variance

Suppose that $f(t)$ is a (non-random) continuous function on $[0, \infty)$. Let$$Z_t = \int_0^t f(s)\,dB_s.$$ How do I see that $Z_t$ is normally distributed? What is the mean and variance? I need ...
user44803's user avatar
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1 answer
557 views

Ergodic and mixing processes [closed]

I am working with an article, where it says: "that the discrete time stationary sequence $\{Y_j\}_{j\in Z}$ is mixing and hence ergodic." where $Y_t$ is defined as $Y_t = \int_{-\infty}^{t} h_k(...
Mathy's user avatar
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1 answer
258 views

Are such averages known with representations of $S_n$?

Like is there a sense in which one can quantify that for two group elements (in different conjugacy classes) their characters are "close" for some fixed irreducible representation? (feel free to stick ...
user6818's user avatar
  • 1,893
0 votes
1 answer
370 views

strong law of large number [closed]

Let $\{c_n\}$ be a descending sequence of positive real numbers, and let $\{X_i\}$ be a sequence of i.i.d. random variables. Are the following statements equivalent? $\operatorname{E}(X_1^2) < \...
zeraoulia rafik's user avatar
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2 answers
435 views

conditional expectation under convex combinaison of probability measures(II)

Let $(\Omega,\mathcal{F})$ denote some measurable space. Let $P_1$ and $P_2$ denote respectively two probability measures. Now let $\mathcal{G}$ be some sub sigma-algebra of $\mathcal{F}$. Given a ...
CodeGolf's user avatar
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0 votes
1 answer
136 views

What is the area of the piece of an $n$-sphere within a given angle of a vector? [closed]

Let $x$ be the unit vector $(1,0,0,\ldots,0)$ in $\mathbb{R}^n$, and let $A(\theta)$ be the subset of $\mathcal{S}^{n-1}$ whose angle to $x$ is less than $\theta$, i.e. $$ A(\theta) = \left\{ y \in \...
petrelharp's user avatar
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1 answer
381 views

Help prove a maximal inequality

Let $X_1,…,X_n$ are exchangeable of random variables, and $n$ is an even number. $S_k=X_1+\dots+X_k$. $M_k=X_{n/2}+\dots+X_{n/2+k}$. I want to prove: $$\Pr(\max_{1 \le k \le n}{|S_k|>\epsilon}) \...
Fan Zhang's user avatar
  • 177
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1 answer
1k views

Generalizations of a product formula for the gamma function

Hello and Happy holidays. I am interested in generalizations of the following product formula for the gamma function $\Gamma(z)= \int_{0}^{\infty} t^{z-1}e^{-t}dt$ when $n \geq 2$: \begin{align} \...
jzadeh's user avatar
  • 265
0 votes
2 answers
294 views

Relationship between these two probability mass functions.

If I have two different discrete distributions of random variables X and Y, such that their probability mass functions are related as follows: $P(X=x_i) = \lambda\frac{P (Y=x_i)}{x_i} $ what can ...
skypemesm's user avatar
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1 answer
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kalman filter: understanding the mathematical part

i am currently reading the Probabilistic robotics book where the filters are discussed. Such filters as kalman filter or particle filters. Now I can understand one thing while reading about the ...
0 votes
3 answers
770 views

Skewing the distribution of random values over a range

The following code comment comes from PHP, a free and open source project. I have done my own research and I cannot find any evidence to support the argument made in this code comment. Thus the ...
George's user avatar
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0 votes
1 answer
307 views

How to estimate the fraction of graphs with small clique among the graphs with certain edges

Among all $n$-vertex graphs with $M$ edges and constant $k$, how to estimate the fraction of graphs of clique less than $k$? Thanks.
wander's user avatar
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0 votes
1 answer
57 views

Lower bounding an alternating series with signs from a martingale difference sequence

Let $\epsilon_n \in \{-1, 1\}$ be a martingale difference sequence, in the sense that $$M_n := \sum_{i = 0}^n \epsilon_i$$ is a martingale. We assume $\epsilon_0 = \pm 1$ with probability $\frac{1}{2}$...
Nate River's user avatar
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1 answer
89 views

Exchanging the integral and infimum on the space of couplings

Let $\mu,\nu$ be probability measures on $\mathbb{R}^d$ with finite $p$-th moment ($p\in [1,\infty)$) and define the set of couplings by $\mathcal{C}(\mu,\nu)$ i.e. the set of probability measures on ...
Kaira's user avatar
  • 305
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2 answers
135 views

Expectation of supremum of sub gaussians

I am trying to prove Lemma 2.3 of ON THE SPECTRAL NORM OF GAUSSIAN RANDOM MATRICES, which states that Let $X_1,\cdots,X_n$ be not necessarily independent random variables with $\mathbb{P}[X_i > x] ...
Sudipta Roy's user avatar
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1 answer
159 views

Theories for "fuzzy" distributions

When calculating the probability density function for the quotients of adjacent values in an empirical time series, the image of the PDF looked like this: It seems to resemble a lognormal ...
Manfred Weis's user avatar
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1 answer
182 views

Hidden Markov model with two hidden states?

I am currently studying what Markov models are, and have a question. If we have a hidden Markov model with 2 hidden states or observations, then how do we find the probability of just the main state ...
MarleyMania's user avatar
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1 answer
189 views

Constructing a family of $3$-wise independence functions from $\mathbb{Z}_p^n \rightarrow \mathbb{Z}_p$

A family of function hash functions $\mathcal{H}:\{h:N\rightarrow M\}$ is call $k$-wise independent if whenenver $h$ is drawn uniformly from $\mathcal{H}$, let $x_1,\ldots,x_k$ be distinct elements of ...
some1fromhell's user avatar
0 votes
1 answer
107 views

Bounding $\|X_1/(X_1+X_2) - Y_1/(Y_1+Y_2)\|_p$ by the closeness of $X$ and $Y$

This question is inspired by the answer to this other question, but I have tried to make it self-contained and to zoom in on the counter-example from this answer. Suppose $\{(X_n, Y_n)\}_{n=1}^2$ are ...
ArBo's user avatar
  • 15
0 votes
1 answer
197 views

Bound the expectation of an average

Let $(a_n)_{n \geq 1}$ be random variables taking values on a finite subset $B$. Assume that $\nu_l(b) \le P[a_n = b\mid a_1,\ldots,a_{n-1}] \le \nu_u(b)$ almost surely for every $n \ge 1$ and $b \in ...
Star's user avatar
  • 108
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1 answer
222 views

Condition for $f^\prime$ to be absolute integrable

Suppose $f(x)$ is the probability density function of a random variable $X$, which means: $$\int_{a}^{b} f(x) dx = 1$$ Also suppose $f$ is continuous and differentiable. Provide a non-trivial ...
Mingzhou Liu's user avatar
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1 answer
124 views

What is the probability space corresponding to the probability measure $\mathbb{P}_{p}$ in the context of this paper?

Here is the definition of the frog model we are interested in: "... consider the homogeneous tree $\mathbb{T}_{d}$, that is, the rooted tree in which each vertex has (is connected by edges to) $d ...
user1234's user avatar
  • 161
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1 answer
148 views

Is the departure process of an infinite server queue independent of the arrival process?

Assume we have a $M/M/\infty$ queue with arrival rate $\lambda$ and a service rate $\mu$. From Burke's theorem, the departure process of the queue is a Poisson process with rate $\lambda$. However, ...
ACopt's user avatar
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1 answer
105 views

Transforming two smooth densities to the same density

I am looking for an example of the following: Find a bijective, differentiable function $f$ and continuous probability density functions $q_1\ne q_2$ such that $f_*q_1=p=f_*q_2$, where $f_*$ is the ...
edgar314's user avatar

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