Questions tagged [probability-theory]

Questions about the branch of mathematics concerned with modelling and analysing random phenomena.

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1 answer
53 views

How to implement conditional probability distribution on set-valued Random Variables

I'm trying to implement conditional probability distribution when the events of two RVs are sets. If I try to extrapolate concepts from real or categorical variables to sets things become confusing ...
0 votes
1 answer
37 views

Conditional probability in Expectation Maximization (EM)

I've got the following equation: $p(j = 1 | x, \theta) = \frac{p(j=1,x | \theta)}{p(x | \theta)}$ Why does it hold? Or maybe, how do I use Bayes Theorem in this case, i.e. if we do not only have $p(j =...
2 votes
1 answer
110 views

Analysis of a calculation of expected number of collisions in hashing

For a formal problem statement, I quote from the text Introduction to Algorithms by Cormen et. al Suppose we use a hash function $h$ to hash $n$ distinct keys into an array $T$ of length $m$. ...
2 votes
1 answer
139 views

Why is $\mathcal{D}^m(\{S:L_{(\mathcal{D},f)}(A(S))\gt \epsilon\})\leq \mathcal{D}^m\left(\bigcup^4_{i=1}F_i\right)$ true?

I am studying the book "Understanding Machine Learning: From Theory to Algorithms". I am struggling to understand the solution to exercise 3 (2) on page 41. Exercise: An axis aligned ...
0 votes
1 answer
669 views

ALOHA - Throughput and probabilities

I have a few questions regarding slotted-ALOHA. Assume a network have 25 users and transmission request probability = 0.25. 1) What is the throughput and what is the probability that a user will ...
1 vote
1 answer
57 views

Distinguishability given black box access to the distribution

Consider two probability distributions $D$ and $U$, over $n$-bit strings, where $U$ is the uniform distribution. We are not given an explicit description of $D$: we are only given black-box access, ie,...
4 votes
1 answer
666 views

How to find a 2-wise independent hash family that is not 3-wise independent?

I'm trying to find a family of hash functions mapping $\{1, 2, ..., 2^n\}$ to $\{0, 1\}$ that is 2-wise independent but not 3-wise independent. Any ideas on that? I know two 2-wise independent ...
0 votes
0 answers
8 views

Does optimal input distribution for $W^{\otimes n}_{Y|X}$ tell us anything about the optimal input distribution for $W^{\otimes n-1}_{Y|X}$?

Suppose I have $n$ i.i.d. copies of some channel $W_{Y|X}$ for some finite $n$. I wish to send the maximum number of messages over these $n$ copies such that the error in decoding the message is at ...
0 votes
0 answers
27 views

If $\overline{3SAT}\in BP\cdot NP$ then $PH=\Sigma_3^P$

I have the problem If $\overline{3SAT}\in BP\cdot NP$ then $PH=\Sigma_3^P$ To solve this I am using a result $BP\cdot NP\subset NP/poly$ which I can prove (not doing here). I have two solutions but ...
0 votes
1 answer
186 views

information theory, find entropy given Markov chain

There is an information source on the information source alphabet $A = \{a, b, c\}$ represented by the state transition diagram below: a) The random variable representing the $i$-th output from this ...
1 vote
0 answers
15 views

distribution choice for network latency

Consider this situation. A few clients are connected to a server over the internet. I define network latency as the time between request leaving the client and reaching the server. What distributions (...
1 vote
0 answers
66 views

How can the mutual information be equal to minus conditional entropy? [closed]

I am reading the following paper: https://arxiv.org/abs/2301.06941 The authors in Eq.(8) have obtained a relation which has the mutual information, $i$, in the exponent of the exponential on the RHS ...
2 votes
1 answer
107 views

Dynamic programming: optimal order to answer questions to score the maximum expected marks

You have $n$ questions in an exam. Question $i$ is answered correctly with probability $p_i > 0$. If question $i$ is answered correctly, you get $R_i$ marks. You can choose to answer the questions ...
0 votes
3 answers
170 views

Bayes theorem probability doesn't make sense

I try to use Bayes Theorem to calculate the probability of $P(A|B)$. I have $P(A)$ in column1, $P(B|A)$ in colmn2, $P(B)$ in column 3. I get the following: my calculations were: $$P(B/A) = 0.8\times ...
0 votes
0 answers
24 views

Universal hash functions and prime number modulus scheme

Definition of a universal hashing function $h: U \rightarrow[m]$ (where $[m]=\{0, \ldots, m-1\}$) is that for any given distinct keys $x,y \in U$, when $h$ is picked at random (independently of $x$ ...
1 vote
1 answer
96 views

What kind of bigram probability smoothing is this?

I hope it isn't off topic but I need to understand this example. Given the corpus 12 1 13 12 15 234 2526 and smoothing factor of ...
0 votes
0 answers
22 views

Manipulating a binary tree representation

I am designing a discrete probability distribution with a string of binary values as an input $\{s_i\}\in\{S_i\}$, and binary outputs $e\in E$ with Bernoulli probability $P(E=1|\{S_i\})=XOR[\{S_i\}]=...
1 vote
1 answer
51 views

Generate uniform random vectors

Problem : Consider a random vector $v$ which is uniformly distributed over the sample space $S = \{v \in \mathbb{Z}^{n} : 1^Tv = a , v \ge 0\}$ . How to efficiently generate such random vector ? note :...
0 votes
1 answer
289 views

Chebyshev’s inequality problem in one exercises I can't understand if I did it right or not

This is what do I have to solve: Byron Book: Exercise 8.3 chapter 8 Verify the use of Chebyshev’s inequality in (8.6) of Example 8.16. Show that if the population mean is indeed 48.2333 and the ...
1 vote
1 answer
103 views

Distributing cards randomly given constraints

We want to distribute 3*n known cards among 3 players evenly given a set of constraints that prohibits some players from having certain suits. For example: We want to distribute 1H, 2H, 3S, 4S, 5D, 6D ...
3 votes
1 answer
75 views

Algorithm to select a random bit string with constraints

Problem Description Given $a, b, n \in \mathbb{N}$ with $a < b < n$. Let $M$ be the set of all possible bit strings of length $n$ which begin and end with one and have at least $a$ and at most $...
0 votes
1 answer
20 views

influence of neighourhood points

Im trying to understand the following question. Suppose $h,f:\{-1,1\}^n\rightarrow \{-1,1\}$ satisfy $\sum_x h(x)f(x)\leq 0.5$, then one can rewrite this as $\textsf{Pr}_x [h(x)=f(x)]\leq 3/4$. Can we ...
0 votes
1 answer
480 views

Transition Function in MDP

I got a question about who and how sets the transation function values in markov decision processes? I mean when some says that an agent, in real world grid, is going to step up by %80 and left/right ...
1 vote
1 answer
35 views

Expected value of maximum of a matrix of size $n$

I have a square matrix (call it $A$) of size $n$ ($n$ is a positive integer). Each column is a permutation of $[1:n]$. I take the first row of $A$, i.e. $A(1,:)$ and wonder what will be the frequency ...
4 votes
3 answers
1k views

Randomly built binary search trees

In Introduction to Algorithms (CLRS) 3rd Edition, page 299, the section attempts to prove: The expected height of a randomly built binary search tree on $n$ distinct keys is $O(\lg n)$. We define "...
0 votes
0 answers
15 views

The RAM invalid object estimation problem

The following problem is originated from my research work in my startup. Suppose we have a collection of $k$ memory objects, where object $i$ has size $d_i$ bytes. We consider a process where the ...
1 vote
2 answers
47 views

Probabilty of Elements being smaller than a specific value

Right now i am looking at the following statement, but i cant grasp why it is correct. Can somebody help? "If we look at F0 uniformly distributed (and, say, pairwise independent) elements of [0, ...
0 votes
0 answers
42 views

In two level perfect hashing from CLRS we use m = n at the first level for expected space<=3n. Instead if we choose m = αn can space be decreased

In two level perfect hashing scheme shown in CLRS 3rd edition 11.5, this also has a great explanation here We set m = n at the first level and then for secondary hash tables we set mi = n^2. This ...
-2 votes
3 answers
2k views

Probabilty that quicksort partition creates an imbalanced partition

I have come across this question: Let 0<α<.5 be some constant (independent of the input array length n). Recall the Partition subroutine employed by the QuickSort algorithm, as explained in ...
3 votes
0 answers
49 views

Edge length in an EMST

Consider a domain on a unit grid such that the grid nodes hold a point with probability $\frac12$. We construct a Euclidean minimum spanning tree on these points. How could we compute the probability ...
2 votes
1 answer
85 views

Probability of this random selection

Suppose we have an array of $n$ integers. Suppose that we pick one of these elements uniformly at random and call it $x$. Suppose that $\log n$ elements are also sampled (uniformly at random) from the ...
3 votes
1 answer
685 views

Is it possible to randomly allocate items to bins such that each distinct allocation has equal probability?

I'm trying to randomly allocate N indistinguishable items over B indistinguishable bins with unlimited capacity. Each allocation should occur with equal probability. An allocation identifies the ...
1 vote
0 answers
65 views

Is quantum computing a serious usable instrument for the IT industry?

Following this latest and very exciting research object I can't find till now a usable computer. By computer I understand a definitive switchable Hardware. I would like to call actual "quantum ...
22 votes
10 answers
20k views

How to simulate a die given a fair coin

Suppose that you're given a fair coin and you would like to simulate the probability distribution of repeatedly flipping a fair (six-sided) die. My initial idea is that we need to choose appropriate ...
2 votes
0 answers
36 views

Generalizing Fano's Inequality [closed]

Fano's inequality says the following: Theorem: Let $X$ be a random variable with range $M$. Let $\hat{X} = g(Y)$ be the predicted value of $X$ given some transmitted value $Y$, where $g$ is a ...
3 votes
2 answers
90 views

Rank in a Convex Combination

Given vectors $A, B \in \mathbb{R}^{n}$, $w \in [0,1]$ and $x \in \mathbb{R}$, let $$ Rank(A,B,w,x)=\sum_{i=1}^{n} \boldsymbol 1 \{w A_{i} +(1-w) B_{i} < x\} $$ denote the number of elements in the ...
1 vote
1 answer
308 views

Deriving the expected number of steps that is taken to perform the k'th operation

Consider a datatype whose objects will be sequences of elements that has the following two methods prepend($x, T$) which will insert an element to x to the beginning of the sequence T search($T, i$) ...
0 votes
0 answers
22 views

Conditional probability of making claim by insurance policyholder

In any given year,a male automobile insurance policyholder make a claim with probability $p_m$ and a female automobile insurance policy holder will make a claim with a probability $p_f$ where $p_f \...
29 votes
10 answers
21k views

Generating uniformly distributed random numbers using a coin

You have one coin. You may flip it as many times as you want. You want to generate a random number $r$ such that $a \leq r < b$ where $r,a,b\in \mathbb{Z}^+$. Distribution of the numbers should ...
0 votes
1 answer
32 views

Expected value of Markov chain after nth steps

A Markov chain $\{ X_n, n \geqslant 0\}$ with states 0, 1, 2 has the transition probability matrix $$P= \begin{bmatrix} \frac12 & \frac13 & \frac16 \\ 0 & \frac12 & \frac23 \\ \frac12 &...
0 votes
2 answers
42 views

Question about Markov Chains

The following question is taken from the book titled "Probability models for Computer Science" written by Sheldon M. Ross. Question: A particle moves along n + 1 vertices that are situated ...
1 vote
1 answer
44 views

How long a graph random walk takes to hit every vertex?

I have a simply connected graph $G$. I start at a uniformly randomly chosen vertex, and from there, randomly walk through the graph by choosing a random edge to follow at each step. On average, how ...
4 votes
2 answers
214 views

Average vs Worst-Case Hitting Time

Consider a simple random walk on an undirected graph and let $H_{ij}$ be the hitting time from $i$ to $j$. How much bigger can $$ H_{\rm max} = \max_{i,j} H_{ij}, $$ be compared to $$ H_{\rm ave} = \...
1 vote
1 answer
48 views

Average and max. hitting time to a specific vertex [closed]

Consider simple random walks that stop when reaching a given node $x$ in an undirected, unweighted and connected graph on $n$ nodes. Let $H(i,x)$ denote the (expected) hitting time from $i$ to $x$, ...
1 vote
1 answer
97 views

Sample a set of N numbers without replacement, each element taken from N different weighted sets

Here's my problem: I have $N$ sets of integers $S_i$ where $|S_i| = n_i \forall i \in [1,N]$ each with non-uniform weights $W_i = \{w_{i,1}, ..., w_{i,n_i}\}$ such that $\sum_{j}{w_{i,j}} = 1$. I want ...
1 vote
1 answer
21 views

Conditional entropies of sum relations

Let $(X_1,Y_1)$ and $(X_2,Y_2)$ be identically and independently distributed. Also consider $Z=X_1+X_2$. I am trying to prove the following inequality: $$ H(X_2 \vert Y_1 Y_2 Z) \leq H (X_1 \vert Y_1)\...
0 votes
0 answers
28 views

Tight bounds for expected maximum of k binomial(n,p) IIDs

What is the tightest lower and upper bound for the expected maximum value of k IID Binomial(n, p) random variables I tried to derive it : $$Pr[max \leq C] = (\sum_{i = 0}^C {n \choose i}p^i(1 - p)^i)^...
0 votes
0 answers
23 views

Entropy of a single Hint

Assume that the probability that a woman is above 80 years old is 3 times that of a man. How much information (in bits) do you get if you are given that a 80 year old person is a male? How should I ...
1 vote
1 answer
48 views

Influence of a variable in composition of Boolean functions

Suppose $f$ and $g$ are Boolean functions without a constant term, and where every variable has the same influence. How to show every variable will have the same influence in $f \circ g$? To me it ...
1 vote
0 answers
44 views

Bloom filter creating different arrays from two input sets

Assume a bloom filter that is composed of $H = \{H_1, ..., H_k\}$ hash functions, and uniformly maps elements from an input set $X$ to an array $A$ of size $n$. Let $X_1, X_2$ (not same) be two input ...

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