negative binomial distribution

Bata distribution: a random proportion, just as the proportion of defective products in tasks completed within a period of time. Binary: the number of results that appear within the specified number of tests; often used to indicate the success rate

1. Dissociation data and discrete distributionDissociation data is usually data that can only be represented by integers. For example, the number of people in a province, the number of planets in a unit volume in the universe, etc.1.1 The discrete

Discrete variable refers to the variable can only take discrete isolated values, usually by the number of units of measurement, such as number, number of units. Many of the distributions of discrete variables are related to last, so let's take a

Knowledge Points: Bernoulli distribution, two-item distribution, polynomial distribution, prior probability, posterior probability, conjugate distribution, beta distribution, beta-two-item distribution, negative two-item distribution, Dirichlet

The R programming language has become the standard of fact in statistical analysis. But in this article, I'll show you how easy it is to implement statistical concepts in Python. I'm going to use Python to implement some discrete and continuous

Analysis of "Machine Learning Algorithm Series II" Logistic regression published in 2016-01-09 |   Categories in Project Experience |   | 12573 This article is inspired by Rickjin teacher, talk about the logistic regression some content, although

Autoencoder: Automatic encoder in machine learning, this article uses a de-noising encoder, known as Denoise Autoencoder (DAE), to remove dropout noise in sc-rnaseq is a very ideal model.Therefore, this article has been published in the NC 18

Basis (Basic):MSE (Mean square error mean squared error), LMS (leastmean square min squared), LSM (Least square Methods least squares), MLE (Maximumlikelihood Estimation maximum likelihood estimation), QP (quadratic programming two-time plan), CP

Basis (Basic):MSE (Mean square error mean squared error), LMS (leastmean square min squared), LSM (Least square Methods least squares), MLE (Maximumlikelihood Estimation maximum likelihood estimation), QP (quadratic programming two-time plan), CP

Basis (Basic):MSE (Mean square error mean squared error), LMS (leastmean square min squared), LSM (Least square Methods least squares), MLE (Maximumlikelihood Estimation maximum likelihood estimation), QP (quadratic programming two-time plan), CP