Logistic regression

Known as: Regression, Binary logit model, Conditional logistic regression 
In statistics, logistic regression, or logit regression, or logit model is a regression model where the dependent variable (DV) is categorical. This… (More)
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Topic mentions per year

Topic mentions per year

1940-2019
01000200019402018

Papers overview

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Highly Cited
2013
Highly Cited
2013
The exponential family of distributions play an important role in statistics and machine learning. They underlie numerous models… (More)
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Highly Cited
2008
Highly Cited
2008
This paper addresses the important tradeoff between privacy and learnability, when designing algorithms for learning from private… (More)
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Highly Cited
2008
Highly Cited
2008
The main problem in many model-building situations is to choose from a large set of covariates those that should be included in… (More)
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Highly Cited
2007
Highly Cited
2007
The group lasso is an extension of the lasso to do variable selection on (predefined) groups of variables in linear regression… (More)
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Highly Cited
2007
Highly Cited
2007
This paper describes an application of Bayesian logistic regression to text categorization. In particular we examine so-called… (More)
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Highly Cited
2006
Highly Cited
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems… (More)
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Highly Cited
2003
Highly Cited
2003
Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal… (More)
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Highly Cited
2000
Highly Cited
2000
We give a unified account of boosting and logistic regression in which each learning problem is cast in terms of optimization of… (More)
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Highly Cited
2000
Highly Cited
2000
The use of statistical models to predict the likely occurrence or distribution of species is becoming an increasingly important… (More)
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Highly Cited
1999
Highly Cited
1999
We study rare events data, binary dependent variables with dozens to thousands of times fewer ones (events, such as wars, vetoes… (More)
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