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0 votes
1 answer
45 views

Is below an example of Bayes theorem?

I went to an institute for hiring with low gender diversity (1 female students out of 10 male students), and observed an application of bayes theorem. Can you please confirm if is TRUE/ my thinking is ...
Mins's user avatar
  • 1
0 votes
0 answers
25 views

What probability distribution fits? [duplicate]

I was in the store earlier, and I saw wrapped figurine collectibles that have 10 unique kinds. What distribution represents the probability that you have collected all 10 figurines after k figurines ...
Calvin Elder's user avatar
0 votes
2 answers
124 views

Election Toy Model leads to a question of an interesting function if it exists

In Canada there is an election going on and I was pondering about a function in which you have the polling averages for the different parties $x_1, x_2, x_3... x_n$ and then a function $f(x_1), f(x_2)....
JulesBurn's user avatar
1 vote
2 answers
323 views

How can I understand Wasserstein Metric?

I've met Wasserstein metric in different topic, most in sampling and mathematic model of machine learning. For two density function $\mu,\nu$ on $R^d$, the wasserstein distance between $\mu,\nu$ can ...
EggTart's user avatar
  • 507
0 votes
0 answers
127 views

Max Distance of a Simple Random Walk on Integers

I encounter this when proving bounds for a randomized algorithm, which is mathematically formulated below. Many thanks for any thoughts or discussions given. Consider simple random walk $S_n = X_1 + \...
NSSM's user avatar
  • 98
1 vote
0 answers
28 views

Probability of stripes being distinguishable given probability density functions for each luminance

I have an image with seven stripes on it (or three stripes on a dark background), and the goal is to estimate the probability of whether they are distinguishable from one another. If the values of ...
Glinka's user avatar
  • 3,212
1 vote
1 answer
806 views

Current applications of the central limit theorem for binomial distributions

The central limit theorem in the binomal distribution case, also known as the De Moivre–Laplace theorem was historically used to approximate the binomal distribution with the normal distribution. I ...
Stephan Kulla's user avatar
1 vote
1 answer
374 views

Variance in offspring genotypes. Binomial distribution

Background Here is first some vocabulary: Diploid: phase in the life cycle where the individuals carry two chromosomes of each type, just like in humans (exception of the sexual chromosomes). allele:...
Remi.b's user avatar
  • 1,615
9 votes
3 answers
16k views

Maximum possible variance

From this biology article, end of page 4, the author talks about a random variable which never takes value outside the range $[0,1]$ ($0$ and $1$ included in the range). He says that the maximum ...
Remi.b's user avatar
  • 1,615
3 votes
2 answers
3k views

Probability distribution of the product of random numbers

For applied mathematics to evolutionary biology I am often faced to have to describe a probability distribution function (PDF) which results from the product of a function in which a parameter is ...
Remi.b's user avatar
  • 1,615
12 votes
7 answers
6k views

Applications of Probability Theory in pure mathematics

My (maybe wrong) impression is that while probability is widely used in science (for example, in statistical mechanics), it is rarely seen in pure mathematics. Which leads me to the question - Are ...