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01/27/2023
Epsilon-Identifiability of Causal Quantities
Identifying the effects of causes and causes of effects is vital in virt...
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10/17/2022
Probabilities of Causation: Role of Observational Data
Probabilities of causation play a crucial role in modern decision-making...
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10/16/2022
Learning Probabilities of Causation from Finite Population Data
This paper deals with the problem of learning the probabilities of causa...
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10/15/2022
Unit Selection: Learning Benefit Function from Finite Population Data
The unit selection problem is to identify a group of individuals who are...
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10/10/2022
Unit Selection: Case Study and Comparison with A/B Test Heuristic
The unit selection problem defined by Li and Pearl identifies individual...
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10/10/2022
Probabilities of Causation: Adequate Size of Experimental and Observational Samples
The probabilities of causation are commonly used to solve decision-makin...
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08/20/2022
Unit Selection with Nonbinary Treatment and Effect
The unit selection problem aims to identify a set of individuals who are...
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08/19/2022
Probabilities of Causation with Nonbinary Treatment and Effect
This paper deals with the problem of estimating the probabilities of cau...
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08/19/2022
Personalized Decision Making – A Conceptual Introduction
Personalized decision making targets the behavior of a specific individu...
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09/15/2021
Unit Selection with Causal Diagram
The unit selection problem aims to identify a set of individuals who are...
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06/23/2021
Bounds on Causal Effects and Application to High Dimensional Data
This paper addresses the problem of estimating causal effects when adjus...
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04/28/2021
Causes of Effects: Learning individual responses from population data
The problem of individualization is recognized as crucial in almost ever...
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01/11/2018
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Current machine learning systems operate, almost exclusively, in a stati...
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01/10/2018
Graphical Models for Processing Missing Data
This paper reviews recent advances in missing data research using graphi...
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11/10/2015
Incorporating Knowledge into Structural Equation Models using Auxiliary Variables
In this paper, we extend graph-based identification methods by allowing ...
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03/05/2015
External Validity: From Do-Calculus to Transportability Across Populations
The generalizability of empirical findings to new environments, settings...
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11/25/2014
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data
We propose an efficient family of algorithms to learn the parameters of ...
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08/07/2014
Logarithmic-Time Updates and Queries in Probabilistic Networks
In this paper we propose a dynamic data structure that supports efficien...
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12/29/2013
A General Algorithm for Deciding Transportability of Experimental Results
Generalizing empirical findings to new environments, settings, or popula...
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03/27/2013
A Constraint Propagation Approach to Probabilistic Reasoning
The paper demonstrates that strict adherence to probability theory does ...
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03/27/2013
Learning Link-Probabilities in Causal Trees
A learning algorithm is presented which given the structure of a causal ...
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03/27/2013
Distributed Revision of Belief Commitment in Multi-Hypothesis Interpretations
This paper extends the applications of belief-networks to include the re...
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03/27/2013
The Recovery of Causal Poly-Trees from Statistical Data
Poly-trees are singly connected causal networks in which variables may a...
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03/27/2013
Structuring Causal Tree Models with Continuous Variables
This paper considers the problem of invoking auxiliary, unobservable var...
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03/27/2013
Do We Need Higher-Order Probabilities and, If So, What Do They Mean?
The apparent failure of individual probabilistic expressions to distingu...
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03/27/2013
Causal Networks: Semantics and Expressiveness
Dependency knowledge of the form "x is independent of y once z is known"...
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03/27/2013
On the Logic of Causal Models
This paper explores the role of Directed Acyclic Graphs (DAGs) as a repr...
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03/27/2013
Deciding Consistency of Databases Containing Defeasible and Strict Information
We propose a norm of consistency for a mixed set of defeasible and stric...
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03/27/2013
d-Separation: From Theorems to Algorithms
An efficient algorithm is developed that identifies all independencies i...
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03/27/2013
On the Equivalence of Causal Models
Scientists often use directed acyclic graphs (days) to model the qualita...
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03/13/2013
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation
In a previous paper [Pearl and Verma, 1991] we presented an algorithm fo...
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03/13/2013
Reasoning With Qualitative Probabilities Can Be Tractable
We recently described a formalism for reasoning with if-then rules that ...
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03/06/2013
Deciding Morality of Graphs is NP-complete
In order to find a causal explanation for data presented in the form of ...
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03/06/2013
From Conditional Oughts to Qualitative Decision Theory
The primary theme of this investigation is a decision theoretic account ...
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02/27/2013
A Probabilistic Calculus of Actions
We present a symbolic machinery that admits both probabilistic and causa...
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02/27/2013
On Testing Whether an Embedded Bayesian Network Represents a Probability Model
Testing the validity of probabilistic models containing unmeasured (hidd...
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02/27/2013
Counterfactual Probabilities: Computational Methods, Bounds and Applications
Evaluation of counterfactual queries (e.g., "If A were true, would C hav...
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02/13/2013
Identifying Independencies in Causal Graphs with Feedback
We show that the d -separation criterion constitutes a valid test for co...
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01/16/2013
Probabilities of Causation: Bounds and Identification
This paper deals with the problem of estimating the probability that one...
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01/10/2013
Causal Discovery from Changes
We propose a new method of discovering causal structures, based on the d...
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01/10/2013
Direct and Indirect Effects
The direct effect of one eventon another can be defined and measured byh...
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01/10/2013
Causes and Explanations: A Structural-Model Approach --- Part 1: Causes
We propose a new definition of actual causes, using structural equations...
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12/12/2012
On the Testable Implications of Causal Models with Hidden Variables
The validity OF a causal model can be tested ONLY IF the model imposes c...
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12/12/2012
Generalized Instrumental Variables
This paper concerns the assessment of direct causal effects from a combi...
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12/12/2012
Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation
We develop a qualitative theory of Markov Decision Processes (MDPs) and ...
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10/16/2012
The Do-Calculus Revisited
The do-calculus was developed in 1995 to facilitate the identification o...
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10/16/2012
Causal Inference by Surrogate Experiments: z-Identifiability
We address the problem of estimating the effect of intervening on a set ...
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07/11/2012
Robustness of Causal Claims
A causal claim is any assertion that invokes causal relationships betwee...
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05/09/2012
Effects of Treatment on the Treated: Identification and Generalization
Many applications of causal analysis call for assessing, retrospectively...
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03/15/2012
