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This paper rigorously establishes that the existence of the maximum likelihood estimate (MLE) in high-dimensional logistic regression models with Gaussian covariates undergoes a sharp `phase transition'.
Geometrical and statistical properties of linear threshold devices
Thomas M Cover · 1964
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Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
Thomas M Cover · 1965
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Generalized linear models
J. A. Nelder and R. W. M. Wedderburn · 1972
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On the existence of maximum likelihood estimators for the binomial response models
Mervyn J Silvapulle · 1981
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On the existence of maximum likelihood estimates in logistic regression models
A. Albert and J. A. Anderson · 1984
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A note on A. Albert and JA Anderson’s conditions for the existence of maximum likelihood estimates in logistic regression models
Thomas J Santner and Diane E Duffy · 1986
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Existence of maximum likelihood estimates in regression models for grouped and ungrouped data
Mervyn J Silvapulle and J Burridge · 1986
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Y. Gordon · 1988
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On existence and uniqueness of a vector minimizing a convex function
Heinz Kaufmann · 1988
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Partial separation in logistic discrimination
Emmanuel Lesaffre and Adelin Albert · 1989
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Generalized linear models
Peter McCullagh and James A Nelder · 1989
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Infinite parameter estimates in logistic regression, with application to approximate conditional inference
John E Kolassa · 1997
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Andreas Christmann and Peter J Rousseeuw · 2001
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Linear programming algorithms for detecting separated data in binary logistic regression models
Kjell Konis · 2007
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Introduction to the non-asymptotic analysis of random matrices
Roman Vershynin · 2012
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Living on the edge: phase transitions in convex programs with random data
D. Amelunxen, M. Lotz, M. B. McCoy, and J. A. Tropp · 2014
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A new perspective on least squares under convex constraint
Sourav Chatterjee et al · 2014
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Pragya Sur, Yuxin Chen, and Emmanuel J Candès · 2017
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