We begin by considering two principles, each having the form causal completeness ergo screening-off. The first concerns a common cause of two or more effects; the second describes an intermediate link in a causal chain. They are logically independent of each other, each is independent of Reichenbach’s principle of the common cause, and each is a consequence of the causal Markov condition. Simple examples show that causal incom-pleteness means that screening-off may fail to obtain. We derive a stronger result: in a rather general setting, if the composite cause C1 & C2 &... & Cn screens-off one event from another, then each of the n component causesC1,C2,...,Cn must fail to screen-off. The idea that a cause may be ordinally invar...
Causation is an asymmetric relation-if C causes E, then E does not cause C. In this thesis I will ar...
Contingency information is information about empirical associations between possible causes and outc...
We prove the main rules of causal calculus (also called do-calculus) for i/o structural causal model...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
How should we deal with apparent causation involving events that have not happened when omissions ar...
Estimating causal effects from incomplete data requires additional and inherently untestable assumpt...
Eells and Sober proved in 1983 that screening off is a sufficient condi- tion for the transitivity o...
This paper suggests a revision of the theory of causal nets (TCN). In Section 1 we introduce an axio...
“Stochastic Independence, Causal Independence, and Shieldability”: The aim of the paper is to explic...
Hitchcock (2012) demonstrated that the validity of causal exclusion arguments as well as the plausib...
Nonignorable missingness and noncompliance can occur even in well-designed randomized experiments, m...
This chapter describes a nonmonotonic causal logic designed for representing knowledge about the eff...
We provide a formally rigorous framework for integrating singular causation, as under-stood by Nuel ...
We clarify the status of the so-called causal minimality condition in the theory of causal Bayesian ...
The big question that motivates this dissertation is the following: under what con-ditions and to wh...
Causation is an asymmetric relation-if C causes E, then E does not cause C. In this thesis I will ar...
Contingency information is information about empirical associations between possible causes and outc...
We prove the main rules of causal calculus (also called do-calculus) for i/o structural causal model...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
How should we deal with apparent causation involving events that have not happened when omissions ar...
Estimating causal effects from incomplete data requires additional and inherently untestable assumpt...
Eells and Sober proved in 1983 that screening off is a sufficient condi- tion for the transitivity o...
This paper suggests a revision of the theory of causal nets (TCN). In Section 1 we introduce an axio...
“Stochastic Independence, Causal Independence, and Shieldability”: The aim of the paper is to explic...
Hitchcock (2012) demonstrated that the validity of causal exclusion arguments as well as the plausib...
Nonignorable missingness and noncompliance can occur even in well-designed randomized experiments, m...
This chapter describes a nonmonotonic causal logic designed for representing knowledge about the eff...
We provide a formally rigorous framework for integrating singular causation, as under-stood by Nuel ...
We clarify the status of the so-called causal minimality condition in the theory of causal Bayesian ...
The big question that motivates this dissertation is the following: under what con-ditions and to wh...
Causation is an asymmetric relation-if C causes E, then E does not cause C. In this thesis I will ar...
Contingency information is information about empirical associations between possible causes and outc...
We prove the main rules of causal calculus (also called do-calculus) for i/o structural causal model...