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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models

As of 16 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.06208.

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1908.06208 v2

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measured 41 of 41 reference resolution

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Outbound references

Observation caf28610-055b-4b88-98cb-e517b6cf9f37 · outbound

This paper cites On the existence of maximum likelihood estimates in logistic regression models.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models On the existence of maximum likelihood estimates in logistic regression models

Reference 1

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This paper cites Living on the edge: Phase transitions in convex programs with random data.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Living on the edge: Phase transitions in convex programs with random data

Reference 2

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This paper cites Consistency of minimizers and the slln for stochastic programs.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Consistency of minimizers and the slln for stochastic programs

Reference 3

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This paper cites Pitman, Boston, 1984.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Pitman, Boston, 1984

Reference 4

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Approximation and convergence in nonlinear optimization

Reference 5

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This paper cites The dynamics of message passing on dense graphs, with applica- tions to compressed sensing.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models The dynamics of message passing on dense graphs, with applica- tions to compressed sensing

Reference 6

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This paper cites Application of the logistic function to bio-assay.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Application of the logistic function to bio-assay

Reference 7

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This paper cites Some asymptotic theory for the bootstrap.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Some asymptotic theory for the bootstrap

Reference 8

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models The calculation of the dosage-mortality curve

Reference 9

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This paper cites The normal distribution: characterizations with applications , volume 100 of Lecture Notes in Statistics.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models The normal distribution: characterizations with applications , volume 100 of Lecture Notes in Statistics

Reference 10

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models On the theory of elliptically contoured distribu- tions

Reference 11

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Cand` es and Pragya Sur

Reference 12

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Measuring overlap in binary regression

Reference 13

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition

Reference 14

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Generalized maximum likelihood estimates for exponential families

Reference 15

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Computational aspects of probit model

Reference 16

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Asymptotic behavior of statistical estimators and of optimal solutions of stochastic optimization problems

Reference 17

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models On the impact of predictor geometry on the performance on high-dimensional ridge-regularized generalized robust regression estimators

Reference 18

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Symmetric multivariate and related distributions

Reference 19

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Maximum likelihood estimation in log-linear models

Reference 20

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Unresolved cited work

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models The analysis of frequency data , volume 4

Reference 22

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Epi-convergence of sequences of normal integrands and strong consistency of the maximum likelihood estimator

Reference 23

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Kanniappan and S

Reference 24

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Distribution theory of spherical distributions and a location-scale parameter generaliza- tion

Reference 25

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Stochastic estimation of the maximum of a regression function

Reference 26

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Epi-consistency of convex stochastic programs

Reference 27

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Linear programming algorithms for detecting separated data in binary logistic regression models

Reference 28

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Existence and uniqueness of the maximum likelihood estimator for a multivariate probit model

Reference 29

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Recent developments on the moment problem

Reference 30

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Stochastic Tverberg theorems and their applications in multi-class logistic regression, data separability, and centerpoints of data

Reference 31

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Generalized linear models, volume 37

Reference 32

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime

Reference 33

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Generalized linear models

Reference 34

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The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models A stochastic approximation method

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-14T13:03:26.621178Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8ac496a8-9018-41cb-929c-356c6e436c23 · outbound

This paper cites A note on A.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models A note on A

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:03:26.478079Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d89a7877-2c83-4c82-9847-6724e39cd9c9 · outbound

This paper cites Asymptotic analysis of stochastic programs.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Asymptotic analysis of stochastic programs

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:03:26.448137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:03:25.875463Z digest=sha256:f2b3d8d7b54d1207f6ee94bce1f52ebd3abcc8a212454ad570831f0f8e18e40c

Observation bf13967f-db5d-46d8-bf07-08ed51887020 · outbound

This paper cites On the existence of maximum likelihood estimators for the binomial response models.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models On the existence of maximum likelihood estimators for the binomial response models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:03:26.418656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:03:25.880987Z digest=sha256:b5bdec6e1f7702f11ae6bffef604e327fac9e97d7bb541d4acd69aecc97dc69c

Observation b406f155-8224-4933-9f28-c1803dac0412 · outbound

This paper cites A modern maximum-likelihood theory for high-dimensional logistic regression.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models A modern maximum-likelihood theory for high-dimensional logistic regression

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:03:26.293122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:03:25.886522Z digest=sha256:8edbb7068ce06fdea9deaf444f7fa477e13840f5726a8515d1e39c10d682d448

Observation 64415998-b510-4600-bdf2-ed75d9ec7eaa · outbound

This paper cites The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:03:26.098411Z

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source=pdf_text observed=2026-08-14T13:03:25.892202Z digest=sha256:dc87226bd4d2e3f747b9506dd399edbf65ac02fb7e1ee5b3a974c0433a840d18

Observation f269aba0-693c-4ea1-b493-0815d37936b2 · outbound

This paper cites Wedderburn.

The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models Wedderburn

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:03:26.180024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:03:25.968622Z digest=sha256:bf1ef03392b5de4b282e0518e8f6c071efa83fc831a8001a6fafd2c9cb6963fe

Pith citing papers

No inbound Pith citation observations are available.