# Questions tagged [distributions]

A distribution is a mathematical description of probabilities or frequencies.

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### Average/Aggregation of 10 Discrete Probabilty Distributions

I have 2 experiments, where I have repeated each 10 times (20 experiments in total). I want to compare experiment A with experiment B. I create a probability distribution from each exp (20 prob ...
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### explanation of Hidden markov model and its values

So i'm trying to learn about the Hidden Markov Model (HMM) and are solving some problems. Im run into a question that I dont quite understand and are hopeing that someone on here can help me ...
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### Degree of freedom of different distributions: Chi-Square Goodness of Fit Test

I try to understand why the number of constraints differ for the distributions in the table below, for the Chi-square goodness of fit test. I found the content in the following link. https://www....
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### A question about hypothesis testing on non normal distributions

I have a set of 20 distributions (4 sets of 5) none of them are normally distributed but all are qualitatively similar and all have ~700k data points. The images below are a typical example. First ...
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### log sampling distribution?

I am using a python parameter optimization library https://keras-team.github.io/keras-tuner/documentation/hyperparameters/ And here were have the option to define a sampling distribution for various ...
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### What distribution has exactly three parameters for mean, variance, and skewness?

Common distributions usually fix their skewness. Beta distribution has two parameters to determine all of the mean, variance, and skewness. Student-T's skewness can change by some definitions but it ...
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### Can I assume data points follow Logistic Distribution with distances from the decision boundary in Logistic Regression?

While I was doing some researches on Logistic Regression, I read a post saying that distances from the decision boundary in Logistic Regression follow Logistic Distribution. I am not sure if the ...
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### Non-stochastic vs Stochastic regressors and sampling distributions and causation?

I was wondering if I understand these correctly. Would an example of a stochastic regressor be weather? so when thinking about the sampling distribtuion and causality, I would think of repeated ...
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### Proper metric for the distance between two Wishart distributions

Let $A$ and $B$ be samples acquired from two distinct Wishart distributions $X$ and $Y$, respectively. The sampling units in $A$ and $B$ are two distinct sets of $p \times p$ random matrices. I want ...
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### Does Entropy values enough creterion to determine the nature of any probability distribution?

Entropy is the measure of randomness of a process or variable and it can be defined as follows. for a random variable $X \in$ set $A$ :- $H(X)= \sum_{x_i \in A} -p(x_i) \log (p(x_i))$, Now there are ...
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### Distribution of $\hat{y}=Hy$

I wish to find the distribution of $\hat{y}=Hy$ where $H$ is the hat matrix $X(X'X)^{-1}X'$ in which a dash represents the transpose. Also, $\epsilon$ is $N(0, \sigma^2)$ distributed. Thanks
Does the distribution of gradients for neural networks known to follow a particular distribution? That is, suppose I've a model with $N$ parameters. Then, the (stochastic) gradient at some point is a ...