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Bayesian Causal Inference in Doubly Gaussian DAG-probit Models

Bayesian Causal Inference in Doubly Gaussian DAG-probit Models

12 April 2023
R. Tahmasbi
Keyvan Tahmasbi
ArXiv (abs)PDFHTML

Papers citing "Bayesian Causal Inference in Doubly Gaussian DAG-probit Models"

10 / 10 papers shown
Title
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
M. T. Bahadori
E. T. Tchetgen
David Heckerman
CML
45
15
0
27 Jul 2021
Parameter Priors for Directed Acyclic Graphical Models and the
  Characterization of Several Probability Distributions
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
D. Geiger
David Heckerman
137
195
0
05 May 2021
DoWhy: An End-to-End Library for Causal Inference
DoWhy: An End-to-End Library for Causal Inference
Amit Sharma
Emre Kıcıman
CML
73
167
0
09 Nov 2020
Causal Effect Inference with Deep Latent-Variable Models
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
CMLBDL
209
747
0
24 May 2017
Posterior Graph Selection and Estimation Consistency for
  High-dimensional Bayesian DAG Models
Posterior Graph Selection and Estimation Consistency for High-dimensional Bayesian DAG Models
Xuan Cao
Kshitij Khare
M. Ghosh
49
56
0
03 Nov 2016
Learning Local Dependence In Ordered Data
Learning Local Dependence In Ordered Data
Guo Yu
Jacob Bien
136
34
0
25 Apr 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
Asymptotically Normal and Efficient Estimation of Covariate-Adjusted
  Gaussian Graphical Model
Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model
Mengjie Chen
Zhao Ren
Hongyu Zhao
Harrison H. Zhou
89
60
0
23 Sep 2013
Latent variable graphical model selection via convex optimization
Latent variable graphical model selection via convex optimization
V. Chandrasekaran
P. Parrilo
A. Willsky
CML
209
509
0
06 Aug 2010
Penalized Likelihood Methods for Estimation of Sparse High Dimensional
  Directed Acyclic Graphs
Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs
Ali Shojaie
George Michailidis
CML
144
200
0
28 Nov 2009
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