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Beyond normality: Learning sparse probabilistic graphical models in the
  non-Gaussian setting

Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting

2 November 2017
Rebecca E. Morrison
Ricardo Baptista
Youssef Marzouk
    CML
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Papers citing "Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting"

4 / 4 papers shown
Title
Density Estimation via Measure Transport: Outlook for Applications in
  the Biological Sciences
Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences
Vanessa López-Marrero
Patrick R. Johnstone
Gilchan Park
Xihaier Luo
OT
29
1
0
27 Sep 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric
  Markov Networks
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
Yujia Zheng
Ignavier Ng
Yewen Fan
Kun Zhang
11
4
0
19 May 2023
Inference via low-dimensional couplings
Inference via low-dimensional couplings
Alessio Spantini
Daniele Bigoni
Youssef Marzouk
27
119
0
17 Mar 2017
Transport map accelerated Markov chain Monte Carlo
Transport map accelerated Markov chain Monte Carlo
M. Parno
Youssef Marzouk
OT
51
159
0
17 Dec 2014
1