Jiji Zhang
Datos Biográficos
| ID | 3874418 |
|---|---|
| NOMBRE | Jiji Zhang |
| NOMBRES | Jiji |
| APELLIDO | Zhang |
| FIRMA | ZHANG J |
| AFILIACIONES | Chinese University of Hong Kong |
| ORCID | 0000-0003-0684-2084 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 12 |
| TOTAL DE CITAS | 24 |
| TOTAL COMO AUTOR | 12 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2008 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 3 |
Proportionality, Determinate Intervention Effects, and High-Level Causation
Stephen Yablo’s notion of proportionality, despite controversies surrounding it, has played a significant role in philosophical discussions of mental causation and of high-level causation more generally. In particular, it is invoked in James Woodward’s interventionist account of high-level causation and explanation, and is implicit in a novel approach to constructing variables for causal modeling in the machine learning literature, known as causa…
A New Minimality Condition for Boolean Accounts of Causal Regularities
On Stalnakerian and Lewisian causal models
An important component in the interventionist account of causal explanation is an interpretation of counterfactual conditionals as statements about consequences of hypothetical interventions. The interpretation receives a formal treatment in the framework of functional causal models. In Judea Pearl’s influential formulation, functional causal models are assumed to satisfy a “unique-solution” property; this class of Pearlian causal models includes…
Actual Causation and Minimality
On the unity between observational and experimental causal discovery
In “Flagpoles anyone? Causal and explanatory asymmetries”, James Woodward supplements his celebrated interventionist account of causation and explanation with a set of new ideas about causal and explanatory asymmetries, which he extracts from some cutting-edge methods for causal discovery from observational data. Among other things, Woodward draws interesting connections between observational causal discovery and interventionist themes that are i…
Subjective causal networks and indeterminate suppositional credences
The three faces of faithfulness
Likelihood and Consilience
Forster presented some interesting examples having to do with distinguishing the direction of causal influence between two variables, which he argued are counterexamples to the likelihood theory of evidence. In this article, we refute Forster’s arguments by carefully examining one of the alleged counterexamples. We argue that the example is not convincing as it relies on dubious intuitions that likelihoodists have forcefully criticized. More impo…
A Comparison of Three Occam's Razors for Markovian Causal Models
The framework of causal Bayes nets, currently influential in several scientific disciplines, provides a rich formalism to study the connection between causality and probability from an epistemological perspective. This article compares three assumptions in the literature that seem to constrain the connection between causality and probability in the style of Occam's razor. The trio includes two minimality assumptions—one formulated by Spirtes, Gly…
Intervention, determinism, and the causal minimality condition
Actual causation
Error probabilities for inference of causal directions
Actual causation
Intervention, determinism, and the causal minimality condition
A Comparison of Three Occam's Razors for Markovian Causal Models
The framework of causal Bayes nets, currently influential in several scientific disciplines, provides a rich formalism to study the connection between causality and probability from an epistemological perspective. This article compares three assumptions in the literature that seem to constrain the connection between causality and probability in the style of Occam's razor. The trio includes two minimality assumptions—one formulated by Spirtes, Gly…
The three faces of faithfulness
Subjective causal networks and indeterminate suppositional credences
Error probabilities for inference of causal directions
Error probabilities for inference of causal directions
Actual causation
Intervention, determinism, and the causal minimality condition
A Comparison of Three Occam's Razors for Markovian Causal Models
The framework of causal Bayes nets, currently influential in several scientific disciplines, provides a rich formalism to study the connection between causality and probability from an epistemological perspective. This article compares three assumptions in the literature that seem to constrain the connection between causality and probability in the style of Occam's razor. The trio includes two minimality assumptions—one formulated by Spirtes, Gly…
Likelihood and Consilience
Forster presented some interesting examples having to do with distinguishing the direction of causal influence between two variables, which he argued are counterexamples to the likelihood theory of evidence. In this article, we refute Forster’s arguments by carefully examining one of the alleged counterexamples. We argue that the example is not convincing as it relies on dubious intuitions that likelihoodists have forcefully criticized. More impo…
The three faces of faithfulness
On the unity between observational and experimental causal discovery
In “Flagpoles anyone? Causal and explanatory asymmetries”, James Woodward supplements his celebrated interventionist account of causation and explanation with a set of new ideas about causal and explanatory asymmetries, which he extracts from some cutting-edge methods for causal discovery from observational data. Among other things, Woodward draws interesting connections between observational causal discovery and interventionist themes that are i…
Subjective causal networks and indeterminate suppositional credences
Proportionality, Determinate Intervention Effects, and High-Level Causation
Stephen Yablo’s notion of proportionality, despite controversies surrounding it, has played a significant role in philosophical discussions of mental causation and of high-level causation more generally. In particular, it is invoked in James Woodward’s interventionist account of high-level causation and explanation, and is implicit in a novel approach to constructing variables for causal modeling in the machine learning literature, known as causa…
A New Minimality Condition for Boolean Accounts of Causal Regularities
On Stalnakerian and Lewisian causal models
An important component in the interventionist account of causal explanation is an interpretation of counterfactual conditionals as statements about consequences of hypothetical interventions. The interpretation receives a formal treatment in the framework of functional causal models. In Judea Pearl’s influential formulation, functional causal models are assumed to satisfy a “unique-solution” property; this class of Pearlian causal models includes…
Actual Causation and Minimality
Epistemology (11 obras) · Mathematics (11 obras) · Philosophy (11 obras) · Philosophy and History of Science (9 obras) · Bayesian Modeling and Causal Inference (7 obras) · Causation (7 obras) · Computer Science (7 obras) · Causal inference (6 obras) · Causal model (6 obras) · Econometrics (6 obras)