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A Review of Multivariate Distributions for Count Data Derived from the
  Poisson Distribution
v1v2 (latest)

A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution

31 August 2016
David I. Inouye
Eunho Yang
Genevera I. Allen
Pradeep Ravikumar
ArXiv (abs)PDFHTML

Papers citing "A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution"

8 / 8 papers shown
Title
Tree-structured Markov random fields with Poisson marginal distributions
Tree-structured Markov random fields with Poisson marginal distributions
Benjamin Coté
Hélène Cossette
Etienne Marceau
150
1
0
20 Jan 2025
Tree-based variational inference for Poisson log-normal models
Tree-based variational inference for Poisson log-normal models
Alexandre Chaussard
Anna Bonnet
Elisabeth Gassiat
Sylvain Le Corff
65
0
0
25 Jun 2024
Discrete Tree Flows via Tree-Structured Permutations
Discrete Tree Flows via Tree-Structured Permutations
Mai Elkady
Jim Lim
David I. Inouye
TPM
57
2
0
04 Jul 2022
Generalised Bayesian Inference for Discrete Intractable Likelihood
Generalised Bayesian Inference for Discrete Intractable Likelihood
Takuo Matsubara
Jeremias Knoblauch
F. Briol
Chris J. Oates
97
18
0
16 Jun 2022
Accounting for missing actors in interaction network inference from
  abundance data
Accounting for missing actors in interaction network inference from abundance data
Raphaelle Momal
Stephane S. Robin
Christophe Ambroise
CML
45
5
0
28 Jul 2020
Evolutionary Simplicial Learning as a Generative and Compact Sparse
  Framework for Classification
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification
Yigit Oktar
Mehmet Türkan
45
3
0
14 May 2020
High-Dimensional Poisson DAG Model Learning Using $\ell_1$-Regularized
  Regression
High-Dimensional Poisson DAG Model Learning Using ℓ1\ell_1ℓ1​-Regularized Regression
G. Park
Sion Park
74
18
0
05 Oct 2018
Fair Algorithms for Learning in Allocation Problems
Fair Algorithms for Learning in Allocation Problems
Hadi Elzayn
S. Jabbari
Christopher Jung
Michael Kearns
Seth Neel
Aaron Roth
Zachary Schutzman
FaML
93
96
0
30 Aug 2018
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