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Everything about Multinomial logistic regression
Regression for more than two discrete outcomes
In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Multinomial logistic regressionA 5-minute orientation
- Skim a recent paper: Minimum sample size for developing a multivariable prediction model using multinomial logistic regressionInfluential work since 2022
- Pick up a classic book: Introduction to SPSS in psychologyThe most-reprinted book on the subject
- Read the landmark paper: Sparse multinomial logistic regression: fast algorithms and generalization boundsCited 699 times
- Go sideways: Binomial regressionA closely related topic
- Go sideways: Multinomial probitA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Sparse multinomial logistic regression: fast algorithms and generalization bounds
Multinomial logistic regression algorithm
A mixed‐effects multinomial logistic regression model
Multinomial Logistic Regression
An Application on Multinomial Logistic Regression Model
Multinomial goodness‐of‐fit tests for logistic regression models
Modelling of land-use change in Thailand using binary logistic regression and multinomial logistic regression
Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use?
🆕 Influential since 2022
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
Multinomial logistic regression method for early detection of autism spectrum disorders
Multinomial Principal Component Logistic Regression on Shape Data
Traffic Collision Severity Modeling Using Multi-Level Multinomial Logistic Regression Model
Hyperspectral Image Classification Powered by Khatri-Rao Decomposition-Based Multinomial Logistic Regression
📚 Books worth reading
Introduction to SPSS in psychologyDennis Howitt, Duncan Cramer · 1997
Bayesian Methods for Management and BusinessEugene D. Hahn · 2014
Regression & Linear ModelingJason W. Osborne · 2016
Linguistic structure predictionNoah A. Smith · 2011- 📕Practical statisticsDavid Kremelberg · 2011
Statistics for sensory and consumer scienceTormod Næs · 2010
Regression Models For Categorical, Count, And Related VariablesJohn P. Hoffmann · 2016
Applied multivariate researchLawrence S. Meyers · 2012
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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