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Everything about Logit-normal distribution
Probability distribution
In probability theory, a logit-normal distribution is a probability distribution of a random variable whose logit has a normal distribution. If Y is a random variable with a normal distribution, and t is the standard logistic function, then X = t(Y) has a logit-normal distribution; likewise, if X is logit-normally distributed, then Y = logit(X)= log (X/(1-X)) is normally distributed. It is also known as the logistic normal distribution, which often refers to a multinomial logit version (e.g.). Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Logit-normal distributionA 5-minute orientation
- Skim a recent paper: Out-of-Distribution Detection of Unknown False Data Injection Attack With Logit-Normalized Bayesian ResNetInfluential work since 2022
- Pick up a classic book: Getting started with data scienceThe most-reprinted book on the subject
- Read the landmark paper: Very-Short-Term Probabilistic Forecasting of Wind Power With Generalized Logit–Normal DistributionsCited 180 times
- Go sideways: Exponential dispersion modelA closely related topic
- Go sideways: Multivariate t-distributionA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Very-Short-Term Probabilistic Forecasting of Wind Power With Generalized Logit–Normal Distributions
Random Effects Modeling of Multiple Binomial Responses Using the Multivariate Binomial Logit‐Normal Distribution
A Generalised Logit-Normal Distribution
Sample size determination for logistic regression on a logit-normal distribution
Moments of the logit-normal distribution
A New Shifted Log-Normal Distribution for Mitigating 'exploding' Implicit Prices in Mixed Multinomial Logit Models
🆕 Influential since 2022
📚 Books worth reading
- 📕Getting started with data scienceMurtaza Haider · 2015
Categorical data analysisAlan Agresti · 2012
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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