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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.

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 …
Ori Gurel-Gurevich's user avatar
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 $Y_2$ …
Ori Gurel-Gurevich's user avatar
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.
Ori Gurel-Gurevich's user avatar
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 …
Ori Gurel-Gurevich's user avatar
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 …
Ori Gurel-Gurevich's user avatar
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 …
Ori Gurel-Gurevich's user avatar
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 …
Ori Gurel-Gurevich's user avatar
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 …
Ori Gurel-Gurevich's user avatar
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 …
Ori Gurel-Gurevich's user avatar
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 …
Ori Gurel-Gurevich's user avatar
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 …
Ori Gurel-Gurevich's user avatar
0 votes

Coordinatizing the disk via Brownian motion

Poisson Kernel
Ori Gurel-Gurevich's user avatar
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 $X>2\mathbb{E}(X)$.
Ori Gurel-Gurevich's user avatar
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 …
Ori Gurel-Gurevich's user avatar
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 …
Ori Gurel-Gurevich's user avatar

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