Questions in probability theory

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6
votes
1answer
110 views

Are bins with more black than white balls negatively 1-correlated?

Suppose we throw $m_b$ black balls and $m_w$ white balls independently and uniformly at random in $n$ bins. Let $\left\{ B_i \right\}_{i \in \left\{ 1,\ldots,n \right\}}$, $\left\{ W_i \right\}_{i ...
6
votes
1answer
111 views

A bounded-independence variant of the Berry-Esseen theorem

I came across a presentation by Ryan O'Donnell regarding invariance principles. After proving the Berry-Esseen theorem, there is a slide that discusses extensions of the theorem and one that is ...
1
vote
1answer
45 views

Inequality for p-norm of probability distributions

I want to show the following inequality, which seems like it should have an elementary proof (or even a well-known name). Suppose $p, q$ are discrete probability distributions. And suppose that $p_i ...
0
votes
0answers
37 views

How to prove that the probability that a random graph has a stable set of size $2\lceil \log n\rceil$ is sub-constant? [migrated]

Given a random graph on $n$ vertices where each edge is included with probability $1/2$. Lets call it $G=(n,1/2)$. How can we show that the probability that this graph has a stable set of size at ...
1
vote
0answers
53 views

Computing the distribution from which this algorithm samples from

Assume we have a set of integers $X_0=\{x_1\ge x_2\ge\ldots\ge x_n\}$. Let $r\in(0,1]$ be a parameter and consider the ranking process: i=0 while ($X_i\ne\emptyset$) let $M = \max \{x\in X_i\}$ ...
25
votes
1answer
755 views

Finding a biased coin using a few coin tosses

The following problem came up during research, and it's surprisingly clean: You have a source of coins. Each coin has a bias, namely a probability that it falls on "head". For each coin ...
1
vote
1answer
168 views

Sampling distinct values with probability proportional to their frequency

This is a variant of my previous question (Reservoir sampling of distinct values) I'm faced with a situation where I need to get m samples from a data stream (without replacement). Only one pass ...
20
votes
1answer
469 views

Number of distinct differences of $\omega(\sqrt{n})$ integers chosen from $[n]$

I encountered the following result during my research. $$\lim\limits_{n\to \infty} \mathbb{E}\left[ \frac{\#\{|a_i-a_j|,1\le i,j\le m \}}{n} \right] = 1$$ where $m=\omega(\sqrt n)$ and ...
5
votes
1answer
142 views

Reservoir sampling of distinct values

I'm faced with a situation where I need to get m samples from a data stream (without replacement). Only one pass through the data is possible. In my case, the stream contains many duplicate values, ...
-2
votes
2answers
169 views

Lemma needed for my machine learning research [closed]

Say $\sigma_1, \sigma_2, \dots, \sigma_m$ are i.i.d distributed $\pm1$ variables. How do I show that for any choice of $S_1, S_2, \dots, S_d$ subsets of $\{1, 2, \dots, m\}$, the expectation of the ...
2
votes
0answers
44 views

Concentration Bounds for Thompson sampling

This paper gives concentration results around the mean of the regret for variants of UCB algorithm in multi-armed stochastic bandits. However, I could not find any similar results for Thompson ...
3
votes
1answer
219 views

Paths and Probabilities for a Random Walk on a Graph

I'm working on a problem about $N$ nodes that are randomly positioned on a rectangular grid. I want to take a sample of $n\leq N$ nodes by randomly selecting the first node then visiting the nearest ...
15
votes
0answers
273 views

Are monotone Boolean functions in P well-approximated by monotone polynomial-size circuits?

Question 1: Is it true that for every polynomial $p(n)$ and $\epsilon >0$ there is a polynomial $q(n)$ such that every monotone Boolean function on $n$ variables that can be expressed by a Boolean ...
0
votes
0answers
10 views

What is the meaning of the output weights of a Conditional Random Field (CRF) model?

Problem When train my linear chain CRF with annotated observations, I feed it with a number of sequences containing observation values and a "ground-truth" label for each observation. I'm currently ...
2
votes
1answer
72 views

Turing degree of Solomonoff semi-measure

We define the Solomonoff semi-measure $m$ on finite strings $x$ by $$m(x) = \sum_{p: U(p) = x} 2^{-l(p)},$$ where $U$ is a universal prefix Turing machine, $U(p) = x$ means $U$ outputs $x$ on input ...
2
votes
0answers
43 views

High-Probability bounds for Stochastic multi-armed Bandit Problems

This paper gives some high probability results for UCB algorithm of the form, \begin{align} \mathbb{P}(R_{n} > r_0.x) \leq O(n^{-2\rho x + 1} + x^{-2 \rho + 1} ) \end{align} where $\rho$ is a ...
0
votes
0answers
48 views

MRF vs CRF dependencies

If Markov random fields (MRF) model explicit short range dependence between features and implicit long range dependencies (knock-off effect), can we say that a Conditional random field (CRF) models ...
0
votes
0answers
29 views

On a Generalized Maximal Correlation

I posted this question in here last week, but did not get any response. Given a pair of random variables $(X,Y)$ over a product space $\mathcal{X}\times \mathcal{Y}$, the maximal correlation ...
4
votes
3answers
119 views

Approximating distributions from samples

One claim I find in many papers about identity testing, and closeness testing is that any distribution over $[n]$ can be approximated to within $\ell_1$ distance $\epsilon$ in ...
4
votes
1answer
159 views

Example of pairwise independent random process with expected max load $\sqrt{n}$

This question was previously posted at http://math.stackexchange.com/questions/1220292/example-of-pairwise-independent-random-process-with-expected-max-load-sqrtn where it has no answers. I now ...
4
votes
1answer
279 views

Upper and lower bound of binomial summation

For $n>1$ and $~0<p \leq 1$, can we upper and lower bound the following binomial series in terms of $n$ and $p$ $$\Sigma_{i=\lceil p n \rceil}^n {n \choose i} (p )^i(1-p)^{(n-i)}$$
0
votes
1answer
63 views

Bounding Rademacher Averages, with and without chaining

One can bound the Rademacher average $R_n(A)$ of a finite set of vectors $A\subseteq\{0,1\}^n$ using Massart's Finite Lemma: $$ R_n(A)\le \max_{a\in A}\|a\|\frac{\sqrt{2\ln|A|}}{n} $$ where ...
0
votes
0answers
37 views

Establishing causality under conditions of certainty

I'm currently reading "Causality: Models, Reasoning, and Inference" by Judea Pearl. Early on, he states that the development assumes that there are no certain entailments, no 1 or 0 probabilities -- ...
2
votes
0answers
86 views

On a possible probabilistic log-rank conjecture

The communication matrix of a function $f$ is a $2^{n}\times 2^{n}$ matrix $M_f$ where the indices of the rows (columns) correspond to the inputs of Alice (Bob), and each entry $M_f (a,b)$ is the ...
1
vote
0answers
40 views

An upper bound for chi-square divergence in terms of KL divergence for general alphabets

In my research I need an upper bound for chi-square divergence in terms KL divergence which works for general alphabets. To make this precise, note that for two probability measures $P$ and $Q$ ...
0
votes
0answers
88 views

Orlicz Norm and a result on expectation

I am reading a paper which is mainly about Dobrushin's contraction coefficient and its generalization. In page 27, the following is defined: Consider an arbitrary, non-negative, convex function ...
3
votes
0answers
63 views

Probabilistic sorting given pairwise comparison probability

Let $X = \{x_1, \dots, x_n\}$ be a set, and $f:[1..n]^2 \to [0, 1]$ be a function, such that $$f(i, j) \cdot f(j, k) \le f(i, k)$$ For all $1 \le i, j, k \le n$. Does there exist a randomized ...
3
votes
0answers
67 views

One kind of dependence relation between a pair of random variables

I have been working on privacy and come across a neat problem. Suppose two random variables $X$ and $Y$, over finite alphabets $\mathcal{X}$ and $\mathcal{Y}$, are given with joint distribution ...
10
votes
3answers
333 views

Is there any known CCC closed under a probabilistic powerdomain operation?

Equivalently, is there a known denotational semantics for probabilistic higher-order functional programming languages? Specifically, is there a domain model of pure untyped $\lambda$-calculus extended ...
2
votes
0answers
115 views

Strong Dependence

I asked this question on MO, but no answer. I don't know if this definition has been already given. Suppose $X$ and $Y$ are two random variables over finite alphabets $\mathcal{X}$ and ...
6
votes
0answers
87 views

What are bounded-treewidth circuits good for?

One can talk of the treewidth of a Boolean circuit, defining it as the treewidth of the "moralized" graph on wires (vertices) obtained as follows: connect wires $a$ and $b$ whenever $b$ is the output ...
13
votes
2answers
319 views

What is the expected depth of a randomly generated tree?

I thought about this problem a long time ago, but have no ideas about it. The generating algorithm is as follows. We assume there are $n$ discrete nodes numbered from $0$ to $n - 1$. Then for each ...
0
votes
1answer
70 views

References to learn more about graph laplacian.

I have vaguely heard of this connection between random matrix theory and graphs (the spectral gap of their laplacians) on compact Riemann surfaces. Can someone give a pedagogic reference which ...
5
votes
0answers
104 views

Spectrum of absorbing random walk for regular graphs

I have a symmetric Markov chain given by the matrix $P$. Let $M$ be a set of special states of the chain (called marked states, they correspond to solutions to some problem). We can write $P$ as ...
3
votes
0answers
106 views

Probability distributions and computational complexity

Some probability distributions are easier to work with than others. Consider the following two problems. Given a number $n$, return $i$ with $0 \leq i < n$ with uniform probability, i.e. ...
0
votes
1answer
176 views

Proving properties of Random Graphs

I am asking the question on a slightly abstract level and it may depend on the specifics but it would be great to have related references or ideas. Consider the random graph model $G_{n,p}$ where its ...
1
vote
1answer
56 views

Subspace-evasive set performance in the random case

A subspace evasive set is defined as a large subset of a vector space which has small intersection with any $k$ dimensional affine space. That is, it "evades" all affine subspaces of small enough ...
7
votes
2answers
232 views

Maximizing the number of heads in $N$ tosses by choosing which coin to toss

Assume you have two coins $A,B$ with biases $P_A,P_B$ respectively. We would like to make $N$ coin tosses and get the maximal number of heads possible. Unfortunately, we know $P_B$, but $P_A$ is ...
21
votes
1answer
559 views

A flowchart for concentration bounds

When I teach tail bounds, I use the usual progression: If your r.v is positive, you can apply Markov's inequality If you have independence and also bounded variance, you can apply Chebyshev's ...
0
votes
1answer
313 views

Calculate Huffman code length having probability?

Having an alphabet made of 1024 symbols, we know that the rarest symbol has a probability of occurrence equal to 10^(-6). Now we want to code all the symbols with Huffman Coding. How many bits will ...
0
votes
2answers
131 views

Determining the distribution of results of a simple algorithm

Setting Consider repeating the following process on the numbers $N=\{1, 2, 3, \ldots, n\}$: Pick an integer $k \in N$, uniformly at random. Pick a subset of $k$ elements from $N$, uniformly at ...
2
votes
1answer
76 views

Sufficient Statistics of $X$ from $Y$

I am reading the paper New Monotone and Lower Bounds in Unconditional Two Party Computation by Wolf and Wullschleger. In Definition 2 on the third page, they define $f(x):=P_{Y|X}(\cdot|x)$ and they ...
5
votes
1answer
74 views

Upper bound on Chaitin's constant for lambda calculus and SKI combinatory logic

I'd like to have proof that Chaitin's constant for lambda calculus and/or SKI combinatory logic is pretty small. I've found some approximations (accurate to about 63 binary digits) for truing machines ...
1
vote
0answers
190 views

Time-inhomogeneous Markov Chains

I'm trying to find out what is known about time-inhomogeneous ergodic Markov Chains where the transition matrix can vary over time. All textbooks and lecture notes I could find initially introduce ...
1
vote
0answers
34 views

randomness extraction of real valued sequences of numbers

I have a sequence of numbers $x_1, x_2, \dots, x_n, \dots \in \mathbb{R}$ I would like to extract fair bits from that sequence. My first thought was to use the Von Neumann extractor. For a ...
1
vote
1answer
58 views

Policy Adjustment in Markov Decision Process

I was using MDP on my work to make optimal decision. I used discrete time, finite state MDP. I assumed that I will have an initial parameters, like the Reward/Cost, state transition probabilities and ...
6
votes
2answers
578 views

What is the probability of a virus spreading through a network given a virus source node?

Model: Consider an infinite undirected connected graph $\mathcal{G}=(\mathcal{V},\mathcal{E})$. At time $t=0$, a given virus node $s\in\mathcal{V}$ starts infecting the network $\mathcal{G}$. ...
1
vote
0answers
186 views

What is the optimal strategy for this 2 player game?

Let some finite array of integers is given initially. There is a number k which is initially '0'. In a move, a player will select a number from the array arr[i] and change k to gcd(k,arr[i]). Also, ...
2
votes
0answers
115 views

How to find a merge tree for a set of words?

Consider a set $S \subseteq \Sigma^n$ where $\Sigma$ is a finite alphabet and $p : \Sigma \rightarrow [0,1]$ is a probability function. Let $T$ be a tree leaf-labeled by the elements of $S$. Consider ...
8
votes
1answer
107 views

$k$-wise independent probability spaces

I have been having a great deal of difficulty finding a reference that gives simple and straightforward explanation of the following: Suppose we have $n$ random variables $Y_1, \dots, Y_n$, each of ...