I am conducting some nonlinear optimization using multivariate probabilities as my objective function. I've spent hours thinking I had issue with the optimization algorithm, but actually I've track...

I am aware of many probabilistic functions builted-in Python, with the random module. I'd like to know if, given a list of floats, it would be possible to find the distribution equation that best f...

I would like to implement a function in python (using numpy) that takes a mathematical function (for ex. p(x) = e^(-x) like below) as input and generates random numbers, that are distributed accord...

In some (e.g. machine learning) libraries, we can find log_prob function. What does it do and how is it different from taking just regular log? For example, what is the purpose of this code: dist...

When I draw displot for discrete variables, the distribution might not be as what I think. For example. We can find that there are crevices in the barplot so that the curve in kdeplot is "lower" ...

Each continuous distribution in scipy.stats comes with an attribute that calculates its differential entropy: .entropy. Unlike the normal distribution (norm) and others that have a closed-form solu...

I'm currently trying to solve Pendulum-v0 from the openAi gym environment which has a continuous action space. As a result, I need to use a Normal Distribution to sample my actions. What I don't un...

I am using Gaussian mixture model for speaker identification. I use this code to predict the speaker for each voice clip. for path in file_paths: path = path.strip() print (path) sr,audio = r...

I'm new to python and I need to construct a LDA project. After doing some preprocessing step, here is my code: dictionary = Dictionary(docs) corpus = [dictionary.doc2bow(doc) for doc in docs] fro...

I am very new to Statistics and R. Maybe this is a very trivial question, but I don't really understand how this works. Suppose I use dnorm(5, 0, 2.5). What does that mean? I saw some resources w...

I am using np.random.rand to create a matrix/tensor of the desired shape. However, this shape argument (generated in runtime) is a tuple such as: (2, 3, 4). How can we use this shape in np.random.r...

I have a log-normal distributed set a samples and want to perform a fit to it. Then I want to plot both the histogram of the samples and the fitted PDF into one plot, and I'd like to use the origin...