ResearchTrend.AI
An Automated Approach to Causal Inference in Discrete Settings

An Automated Approach to Causal Inference in Discrete Settings

Guilherme Duarte
N. Finkelstein
D. Knox
Jonathan Mummolo
I. Shpitser
ArXivPDFHTML

Papers citing "An Automated Approach to Causal Inference in Discrete Settings"

17 / 17 papers shown
Title
Your Assumed DAG is Wrong and Here's How To Deal With It
Kirtan Padh
Zhufeng Li
Cecilia Casolo
Niki Kilbertus
CML
58
0
0
24 Feb 2025
Bounds on Causal Effects and Application to High Dimensional Data
Bounds on Causal Effects and Application to High Dimensional Data
Ang Li
Judea Pearl
CML
13
22
0
23 Jun 2021
The HulC: Confidence Regions from Convex Hulls
The HulC: Confidence Regions from Convex Hulls
Arun K. Kuchibhotla
Sivaraman Balakrishnan
Larry A. Wasserman
26
20
0
30 May 2021
Partial Identifiability in Discrete Data With Measurement Error
Partial Identifiability in Discrete Data With Measurement Error
N. Finkelstein
R. Adams
Suchi Saria
I. Shpitser
42
11
0
23 Dec 2020
A General Method for Deriving Tight Symbolic Bounds on Causal Effects
A General Method for Deriving Tight Symbolic Bounds on Causal Effects
Michael C Sachs
Gustav Jonzon
A. Sjölander
Erin E Gabriel
14
21
0
24 Mar 2020
Causal bounds for outcome-dependent sampling in observational studies
Causal bounds for outcome-dependent sampling in observational studies
Erin E Gabriel
Michael C Sachs
A. Sjölander
10
14
0
24 Feb 2020
Optimal Confidence Regions for the Multinomial Parameter
Optimal Confidence Regions for the Multinomial Parameter
Matthew Malloy
Ardhendu Shekhar Tripathy
Robert D. Nowak
18
10
0
03 Feb 2020
The Inflation Technique for Causal Inference with Latent Variables
The Inflation Technique for Causal Inference with Latent Variables
Elie Wolfe
Robert W. Spekkens
Tobias Fritz
18
123
0
02 Sep 2016
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
162
4,748
0
04 Jan 2016
Smooth, identifiable supermodels of discrete DAG models with latent variables
Smooth, identifiable supermodels of discrete DAG models with latent variables
R. Evans
Thomas S. Richardson
CML
29
22
0
21 Nov 2015
Margins of discrete Bayesian networks
Margins of discrete Bayesian networks
R. Evans
45
67
0
09 Jan 2015
Graphs for margins of Bayesian networks
Graphs for margins of Bayesian networks
R. Evans
CML
UQCV
52
90
0
08 Aug 2014
Counterfactual Probabilities: Computational Methods, Bounds and Applications
Counterfactual Probabilities: Computational Methods, Bounds and Applications
Alexander Balke
Judea Pearl
51
252
0
27 Feb 2013
On the Testability of Causal Models with Latent and Instrumental Variables
On the Testability of Causal Models with Latent and Instrumental Variables
Judea Pearl
CML
62
167
0
20 Feb 2013
Quantifier Elimination for Statistical Problems
Quantifier Elimination for Statistical Problems
D. Geiger
Christopher Meek
47
54
0
23 Jan 2013
Instrumentality Tests Revisited
Instrumentality Tests Revisited
Blai Bonet
60
90
0
10 Jan 2013
On the Testable Implications of Causal Models with Hidden Variables
On the Testable Implications of Causal Models with Hidden Variables
Jin Tian
Judea Pearl
CML
42
176
0
12 Dec 2012