Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.
3
votes
Accepted
Tight binomial left tail bound
This is tight, at least when $p=\frac12$. You simply need to approximate $\log\big({n \choose \frac{n}{2}-\varepsilon n} \frac1{2^{n}}\big)$ using Stirling's formula and you'll see that the leading co …
1
vote
Accepted
On polynomial functions of random variables and independence
Your argument can be extended to any polynomial.
Let $q(y_1,y_2)=(p(y_1,y_2))^2$. Then the leading coefficient in $q$, as a polynomial in $y_1$ is a polynomial $r(y_2)$ which is a square. Since $Y_2$ …
1
vote
Explicit distribution of a limit random variable
One particular (relatively) well studied case is that of Bernoulli convolution, where the RV are supported on just 2 points. Take a look here to get an idea about what is known.
5
votes
Random walk and the liouville property
Indeed, as Adam Smith pointed out, you can do this using coupling. Very briefly, since I don't have the time to elaborate, for any two vertices $x,y\in G$ and any two finite configurations of lamps $u …
8
votes
many expected streaks imply high probability for a streak
You're right that something more is needed to conclude that the probability of no streak is small.
In this particular case, one can easily get a lower bound by partitioning the sequence of coin flips …
4
votes
Accepted
How does changing the transition probabilities affect the concentration of a position-depend...
There's no reason to believe that the new speed will be $2 \epsilon$ more then the old speed. To give a concrete example, take $\epsilon=0.01$ and let the environment be $p_n=0.01$ when $n$ is a multi …
2
votes
Accepted
Probability of event occurring before either of two stopping conditions
This particular problem can be solved by dividing it into two parts.
First, the probability that the first $\sqrt{n}$ numbers chosen are all distinct. Second, the probability that a random subset of …
7
votes
probability calculation
let's consider a simpler question: for which values of the parameters does this probability tend to 0 or to 1?
Here are some basic estimates for the case where all the parameters tend to infinity and …
1
vote
Accepted
The Lindeberg Condition
$\newcommand{\E}{\mathbf{E}}\renewcommand{\P}{\mathbf{P}}\DeclareMathOperator{\var}{Var}$
Yes. If $s_n=\max_{1\le k \le r_n} \sigma_{nk}$ then we have
$$\E\big[|X_{nk}|^2 I_{|X_{nk}|>\eta}\big] \le \s …
1
vote
Two-dimensional random walk
http://puhep1.princeton.edu/~mcdonald/examples/EM/atkinson_ajp_67_486_99.pdf
I haven't checked its validity, but it has Mathematica code for calculating what you want. As a side notice, the asymptoti …
0
votes
2D random walk probability to reach a target
Suppose for the moment that we're talking about a SRW on $\mathbb{Z}^2$ and the target is the origin. Suppose that you're interested in the time interval $[0,T]$, meaning that you're asking about the …
0
votes
Coordinatizing the disk via Brownian motion
Poisson Kernel
2
votes
Accepted
Probability Theory, Chernoff Bounds, Sum of Independent (but not identically distributed) r.v
This isn't true, in general. If you take $p_0=1/n$ and the other $p_i=1$ then you get a constant probability for $X>2\mathbb{E}(X)$.
4
votes
Accepted
bound the tail distribution
Some tools from the theory of the classical moments problem are useful here. You can see how they are used and get some bounds on your question in my joint paper with Itai Benjamini and Ron Peled here …
1
vote
Tail Conditional Expectation of a binomial random variable
$X$ will "tend" to $N(c,c)$, even though the usual formulation of the CLT does not cover this case, and $f(c)$ will be of order $\sqrt{c}$. In fact, this is true for any $c=\omega(1)$. Notice that eve …