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In probability and statistics, a probability distribution assigns a probability to each measurable subset of the possible outcomes of a random experiment, survey, or procedure of statistical inference.

1 vote

Connection between invariant measure and positive recurrence for continuum state space marko...

Yes, there are such inequalities, which follow from the Kac Lemma in Ergodic Theory. (Although the form of the inequality at the end of the post is too optimistic- did you want the supremum to be tak …
Yuval Peres's user avatar
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1 vote
Accepted

Bernoulli trials with small dependencies: asymptotics (central limit theorem, law of the ite...

For $0<\beta \le 1/2$, any limiting distribution of the rescaled process $S_n/n^\beta$ will be fully supported in $[-1,1]$, so it will not be normal. The downward drift will imply (using Hoeffding's …
Yuval Peres's user avatar
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2 votes
Accepted

Stationary and limiting distributions

For Markov chains, a very useful condition is Harris recurrence, see https://en.wikipedia.org/wiki/Harris_chain. This has been generalized to continuous time, see https://www.jstor.org/stable/3690386? …
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1 vote
Accepted

Does the compactness of parameter of distribution function imply the compactness of the dist...

Since the continuous image of a compact set is compact, it suffices to determine whether the mapping $p \to F(x,p)$ is continuous. This is the case for most natural parametrized families of distributi …
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1 vote

$k^{\text{th}}$ maxima of $n$ i.i.d chi-square random variables

The behavior of the order statistics is different than you predicted: Suppose that $k=n-\ell$, where $\ell=\ell(n)$ satisfies $\ell/n \to 0$. Denote by $Z$ a standard normal variable. Then for $b \in …
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1 vote

Is there some similar spine decomposition for Galton-Watson tree in supercritical case whose...

Lyons, Russell, Robin Pemantle, and Yuval Peres. "Conceptual proofs of L log L criteria for mean behavior of branching processes." The Annals of Probability (1995): 1125-1138. https://www.jstor.org/s …
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0 votes

Greater contribution in a sum of independent random variables

The paper by Heyde discussed in Iosif Pinelis' excellent answer concerns a more general situation where the summands are not stable but rather there is convergence to a stable law after normalization. …
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8 votes
Accepted

Distribution of the first occurrence of a maximum (record) run of zeros in the digits of a n...

The length $R_N$ of the longest run in the first $N$ digits satisfies $R_N/\log_b(N) \to 1$ almost surely as $N \to \infty$, as first proved by Renyi, see the discussion in [1]. (Many references focus …
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19 votes

What makes Gaussian distributions special?

If the random vector $(X,Y)$ in the plane has independent coordinates and a rotation-invariant distribution, then it is Gaussian.
1 vote

General definition for $k$-dependence of a family of sub-$\sigma$-algebra

One possible definition is to assume a graph structure on the index set, where the maximal degree is $k$. Then you assume that every algebra $\mathcal{F}_i$ is independent of the join of the algebras …
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1 vote

CLT for Martingales

This Theorem is a direct consequence of the Skorohod representation of Martingales. You can find it, along with many variants, in Hall, Peter, and Christopher C. Heyde. Martingale limit theory and its …
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2 votes
Accepted

On the speed of divergence of the converse of the Strong law of large numbers

Such a sequence $a_n$ does not exist even for a well studied example like returns to the origin of simple random walk in one dimension. If $X_i$ denotes the number of steps from the $i-1$ time the wal …
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26 votes
Accepted

A variation of the law of large numbers for random points in a square

Given $n^2$ i.i.d. uniform points in $[0,1]^2$, the goal is to draw a configuration of $cn$ vertical lines and $cn$ horizontal lines such that in each small rectangle there is at most one marked point …
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1 vote

On the concentration of Lipschitz functions near its expectation, where the vector has ident...

If $f$ is the sum and all the components are identical then the inequality fails for $t=n$.
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3 votes
Accepted

Distribution of a stopped random sum, with subexponential stopping time

The hypothesis implies that $M_k=[e^{\sum_{n=1}^k X_n}]$ is a supermartingale, with $M_0=1$. Then the optional stopping theorem for positive supermartingales implies the requested inequality. (see e. …
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