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Local shrinkage rules, Levy processes, and regularized regression

Local shrinkage rules, Levy processes, and regularized regression

17 October 2010
Nicholas G. Polson
James G. Scott
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Papers citing "Local shrinkage rules, Levy processes, and regularized regression"

6 / 6 papers shown
Title
Deep neural networks with dependent weights: Gaussian Process mixture
  limit, heavy tails, sparsity and compressibility
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoileong Lee
Fadhel Ayed
Paul Jung
Juho Lee
Hongseok Yang
François Caron
40
10
0
17 May 2022
A Bayesian Approach for Predicting Food and Beverage Sales in Staff
  Canteens and Restaurants
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants
K. Posch
Christian Truden
P. Hungerländer
J. Pilz
6
27
0
26 May 2020
Estimation and Inference on Nonlinear and Heterogeneous Effects
Estimation and Inference on Nonlinear and Heterogeneous Effects
Marc Ratkovic
D. Tingley
12
11
0
16 Mar 2017
False discovery rate smoothing
False discovery rate smoothing
Wesley Tansey
Oluwasanmi Koyejo
R. Poldrack
James G. Scott
25
46
0
22 Nov 2014
Compound Poisson Processes, Latent Shrinkage Priors and Bayesian
  Nonconvex Penalization
Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization
Zhi-Hao Zhang
Jin Li
48
2
0
28 Aug 2013
EP-GIG Priors and Applications in Bayesian Sparse Learning
EP-GIG Priors and Applications in Bayesian Sparse Learning
Zhihua Zhang
Shusen Wang
Dehua Liu
Michael I. Jordan
33
56
0
19 Apr 2012
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