The d-separation criterion in Categorical Probability

T. A. Fritz, Andreas Klingler

Type: Preprint

Publication Date: 2022-01-01

Citations: 9

DOI: https://doi.org/10.48550/arxiv.2207.05740

View Publication

Locations

arXiv (Cornell University) - View - PDF
DataCite API - View

Similar Works

Action	Title	Year	Authors
+ PDF Chat	The Aldous--Hoover Theorem in Categorical Probability	2024	Leihao Chen T. A. Fritz Tomáš Gonda Andreas Klingler Antonio Lorenzin
+	Topological Conditional Separation	2021	Michel De Lara Jean‐Philippe Chancelier Benjamin Heymann
+ PDF Chat	Conditional Separation as a Binary Relation	2021	Jean‐Philippe Chancelier Michel De Lara Benjamin Heymann
+ PDF Chat	Conditional Separation as a Binary Relation	2021	Jean‐Philippe Chancelier Michel De Lara Benjamin Heymann
+	Conditional Separation as a Binary Relation	2021	Jean‐Philippe Chancelier Michel De Lara Benjamin Heymann
+	Separation Properties of Sets of Probability Measures	2013	Fábio Gagliardi Cozman
+	Separation Properties of Sets of Probability Measures	2013	Fábio Gagliardi Cozman
+	Causal Inference Theory with Information Dependency Models	2021	Benjamin Heymann Michel De Lara Jean‐Philippe Chancelier
+ PDF Chat	Causality, Conditional Independence, and Graphical Separation in Settable Systems	2012	Karim Chalak Halbert White
+	Absolute continuity, supports and idempotent splitting in categorical probability	2023	T. A. Fritz Tomáš Gonda Antonio Lorenzin Paolo Perrone Dario Stein
+	Context-Specific Independence in Bayesian Networks	2013	Craig Boutilier Nir Friedman Moisés Goldszmidt Daphne Koller
+	Context-Specific Independence in Bayesian Networks	2013	Craig Boutilier Nir Friedman Moisés Goldszmidt Daphne Koller
+	d-Separation: From Theorems to Algorithms	2013	Dan Geiger Tom S. Verma Judea Pearl
+	A Separation Theorem for Chain Event Graphs	2015	Peter Thwaites Jim Q. Smith
+ PDF Chat	Products, Abstractions and Inclusions of Causal Spaces	2024	Simon Buchholz Jun-Hyung Park Bernhard Schölkopf
+ PDF Chat	A Categorical Foundation for Bayesian Probability	2013	Jared Culbertson Kirk Sturtz
+	Markov categories, causal theories, and the do-calculus	2022	Yimu Yin Jiji Zhang
+ PDF Chat	A Pair of Bayesian Network Structures has Undecidable Conditional Independencies	2024	Cheuk Ting Li
+	Markov Categories and Entropy	2022	Paolo Perrone
+	Causal Theories: A Categorical Perspective on Bayesian Networks	2013	Brendan Fong

Works That Cite This (8)

Action	Title	Year	Authors
+ PDF Chat	Universal Causality	2023	Sridhar Mahadevan
+ PDF Chat	Markov Categories and Entropy	2023	Paolo Perrone
+	Dilations and information flow axioms in categorical probability	2022	T. A. Fritz Tomáš Gonda Nicholas Gauguin Houghton-Larsen Antonio Lorenzin Paolo Perrone Dario Stein
+ PDF Chat	Bayesian inversion and the Tomita–Takesaki modular group	2023	Luca Giorgetti Arthur J. Parzygnat Alessio Ranallo Benjamin P. Russo
+ PDF Chat	String Diagrams with Factorized Densities	2023	Eli Sennesh Jan-Willem van de Meent
+	Markov Categories and Entropy	2022	Paolo Perrone
+ PDF Chat	Generalised Tensors	2023	Pierros Ntelis
+ PDF Chat	Advancing categories with functors of functors	2023	Pierros Ntelis

Works Cited by This (0)

Action	Title	Year	Authors