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The Multinomial Probability Distribution

Analytics Vidhya

A multinomial distribution is the probability distribution of the outcomes from a multinomial experiment. A multinomial experiment is a statistical experiment that has the following properties: The…

Multinomial Distribution in R

R-bloggers

Introduction The multinomial distribution is a probability distribution that describes the probability of obtaining a specific number of counts for k different outcomes, when each outcome has a fixed ...

Understanding Multinomial Distribution using Python

Towards Data Science

The math and intuition behind the multinomial distribution Continue reading on Towards Data Science

The Multinomial Distribution in R

R-bloggers

The post The Multinomial Distribution in R appeared first on Data Science Tutorials What do you have to lose?. Check out Data Science tutorials here Data Science Tutorials. The Multinomial Distributio...

Multinomial Naive Bayes Classifier

Towards Data Science

What we’ll see: What is the multinomial distribution: As opposed to Gaussian Naive Bayes classifiers that rely on assumed Gaussian distribution, multinomial naive Bayes classifiers rely on multinomial...

torch.multinomial

PyTorch documentation

Returns a tensor where each row contains num_samples indices sampled from the multinomial probability distribution located in the corresponding row of tensor input . Note The rows of input do not need...

Fun with the Binomial Distribution

Towards Data Science

Everyone knows and loves the normal distribution. It is used in a huge variety of applications such as investment modeling, A/B testing, and manufacturing process improvement (six sigma). But people…

Probability Distribution

Towards Data Science

I’m a data scientist for a mobile application. As a data scientist, you will often draw a random sample from the population to conduct experiments or analyses. With the random sample, you make…

Multinomial Models for Nominal Data

Towards Data Science

The popular multinomial logistic regression is known as an extension of the binomial logistic regression model, in order to deal with more than two possible discrete outcomes. However, the…

Dice, Polls & Dirichlet Multinomials

Towards Data Science

This article explores a few applications of Bayesian Statistics and the Dirichlet Multinomial distribution using probabilistic programming and PyMC3.

Statistics 101: the Binomial Distribution

Towards Data Science

Experiments consisting of a sequence of identical and independent trials resulting in one of two outcomes are known as binomial experiments. Examples of events that follow the binomial distribution…

Using Binomial Distribution in Python

Towards Data Science

Exploring the binomial distribution in Python: understanding probability calculations for coin flips with different methods Photo by Joshua Hoehne on Unsplash In today’s article, I’ll show you how to...