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Simulation-based Regularized Logistic Regression
v1v2v3v4 (latest)

Simulation-based Regularized Logistic Regression

19 May 2010
R. Gramacy
Nicholas G. Polson
ArXiv (abs)PDFHTML

Papers citing "Simulation-based Regularized Logistic Regression"

13 / 13 papers shown
Title
Logistic-beta processes for dependent random probabilities with beta marginals
Logistic-beta processes for dependent random probabilities with beta marginals
Changwoo J. Lee
Alessandro Zito
Huiyan Sang
David B. Dunson
79
0
0
10 Feb 2024
An extension of the Unified Skew-Normal family of distributions and
  application to Bayesian binary regression
An extension of the Unified Skew-Normal family of distributions and application to Bayesian binary regression
P. Onorati
B. Liseo
67
3
0
07 Sep 2022
Bayesian Multinomial Logistic Regression for Numerous Categories
Bayesian Multinomial Logistic Regression for Numerous Categories
Jared D. Fisher
Kyle McEvoy
25
2
0
30 Aug 2022
Analysis of Langevin Monte Carlo via convex optimization
Analysis of Langevin Monte Carlo via convex optimization
Alain Durmus
Szymon Majewski
B. Miasojedow
108
222
0
26 Feb 2018
Bayesian $l_0$-regularized Least Squares
Bayesian l0l_0l0​-regularized Least Squares
Nicholas G. Polson
Lei Sun
152
21
0
31 May 2017
Exponential Ergodicity of the Bouncy Particle Sampler
Exponential Ergodicity of the Bouncy Particle Sampler
George Deligiannidis
Alexandre Bouchard-Côté
Arnaud Doucet
114
49
0
12 May 2017
High-Dimensional Bayesian Regularised Regression with the BayesReg
  Package
High-Dimensional Bayesian Regularised Regression with the BayesReg Package
E. Makalic
Daniel F. Schmidt
69
66
0
21 Nov 2016
High-dimensional Bayesian inference via the Unadjusted Langevin
  Algorithm
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
145
358
0
05 May 2016
A simple sampler for the horseshoe estimator
A simple sampler for the horseshoe estimator
E. Makalic
Daniel F. Schmidt
96
239
0
17 Aug 2015
Non-asymptotic convergence analysis for the Unadjusted Langevin
  Algorithm
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
110
415
0
17 Jul 2015
Leave Pima Indians alone: binary regression as a benchmark for Bayesian
  computation
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
Nicolas Chopin
James Ridgway
95
76
0
29 Jun 2015
Bayesian Inference for Logistic Regression Models Using Sequential
  Posterior Simulation
Bayesian Inference for Logistic Regression Models Using Sequential Posterior Simulation
John Geweke
G. Durham
Huaxin Xu
94
4
0
16 Apr 2013
Data augmentation for non-Gaussian regression models using variance-mean
  mixtures
Data augmentation for non-Gaussian regression models using variance-mean mixtures
Nicholas G. Polson
James G. Scott
149
45
0
28 Mar 2011
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