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Graphical and Recursive Models for Contingency Tables
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4612-4380-9_33openalex-snapshot
Maximum Likelihood in Three-Way Contingency Tables
inferredcites →https://doi.org/10.1016/0010-468x(76)90049-0openalex-snapshot
Finding condensed descriptions for multi-dimensional data
inferredcites →https://doi.org/10.1017/s1446788700027300openalex-snapshot
Decomposable graphs and hypergraphs
inferredcites →https://doi.org/10.1057/jors.1982.85openalex-snapshot
The Analysis of Categorical Data (2nd Edition)
inferredcites →https://doi.org/10.1080/00401706.1972.10488973openalex-snapshot
Mathematical Statistics, 2nd Edition
inferredcites →https://doi.org/10.1080/01621459.1970.10481076openalex-snapshot
The Multivariate Analysis of Qualitative Data: Interactions among Multiple Classifications
inferredcites →https://doi.org/10.1080/01621459.1980.10477580openalex-snapshot
Linear Recursive Equations, Covariance Selection, and Path Analysis
inferredcites →https://doi.org/10.1093/biomet/60.1.179openalex-snapshot
The Analysis of Multidimensional Contingency Tables when Some Variables are Posterior to Others: A Modified Path Analysis Approach
inferredcites →https://doi.org/10.1111/j.2517-6161.1958.tb00300.xopenalex-snapshot
The Interaction Algorithm and Practical Fourier Analysis
inferredcites →https://doi.org/10.1111/j.2517-6161.1979.tb01052.xopenalex-snapshot
Conditional Independence in Statistical Theory
inferredcites →https://doi.org/10.1214/aoms/1177732676openalex-snapshot
The Method of Path Coefficients
inferredcites →https://doi.org/10.1214/aos/1176345006openalex-snapshot
Markov Fields and Log-Linear Interaction Models for Contingency Tables
inferredcites →https://doi.org/10.18356/9789210010030c014openalex-snapshot
Analysis of frequency data
inferredcites →https://doi.org/10.2307/2063625openalex-snapshot
Discrete Multivariate Analysis: Theory and Practice.
inferredcites →https://doi.org/10.2307/2288158openalex-snapshot
Discrete Statistical Models With Social Science Applications.
inferredcites →https://doi.org/10.2307/2529341openalex-snapshot
Analogies between Multiplicative Models in Contingency Tables and Covariance Selection
inferredcites →https://doi.org/10.2307/2529496openalex-snapshot
Model Search among Multiplicative Models
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inferred← citeshttps://doi.org/10.1002/0471667196.ess0651.pub2openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/9781118445112.stat00423openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/9781118445112.stat00423.pub2openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/bimj.4710280309openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/bimj.4710290104openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/int.20382openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/int.4550070704openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/net.3230200503openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/sim.4780101204openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/sim.4780110802openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/sim.4780141202openalex-snapshot
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inferred← citeshttps://doi.org/10.1006/dspr.1998.0324openalex-snapshot
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inferred← citeshttps://doi.org/10.1006/jmva.1998.1745openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-0-387-79936-0_6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4612-2404-4_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4612-2660-4_22openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4612-2748-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4613-0147-9_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-84996-396-1_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-69038-9_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-69038-9_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-36668-3_26openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-45062-7_49openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-16952-6_44openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-35494-6_20openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-46900-8_8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-51883-6_58openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-94-015-8208-7_11openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-94-017-1733-5_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-94-017-1735-9_12openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-99-8435-0_18openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/b97647openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf00994110openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf01531004openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf01531017openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bfb0028180openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10472-020-09701-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10994-018-5718-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11749-012-0290-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11943-017-0211-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0010-7824(88)90096-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0010-7824(90)90057-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0020-7101(91)90023-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0167-9473(93)e0054-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0167-9473(93)e0056-aopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0277-9536(89)90162-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0277-9536(89)90174-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0277-9536(91)90122-sopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0377-2217(94)90118-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0378-3758(94)00150-topenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-08-097086-8.42048-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-444-70058-2.50009-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-444-88650-7.50006-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-444-88650-7.50014-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-934613-67-5.50014-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-1-4832-1451-1.50028-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-1-55860-203-8.50015-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-1-55860-332-5.50052-3openalex-snapshot
Reduction of Computational Complexity in Bayesian Networks through Removal of Weak Dependences
inferred← citeshttps://doi.org/10.1016/j.artint.2008.06.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2008.01.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cie.2014.11.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.csda.2004.09.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.csda.2008.10.007openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.csda.2008.10.011openalex-snapshot
Estimate-based goodness-of-fit test for large sparse multinomial distributions
inferred← citeshttps://doi.org/10.1016/j.dss.2003.10.010openalex-snapshot
Stochastic ordering and robustness in classification from a Bayesian network
inferred← citeshttps://doi.org/10.1016/j.dss.2006.02.002openalex-snapshot
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
inferred← citeshttps://doi.org/10.1016/j.eswa.2011.10.026openalex-snapshot
Context-prediction performance by a dynamic Bayesian network: Emphasis on location prediction in ubiquitous decision support environment
inferred← citeshttps://doi.org/10.1016/j.im.2004.12.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jbusres.2020.04.009openalex-snapshot
The profile of innovation driven Italian SMEs and the relationship between the firms’ networking abilities and dynamic capabilities
inferred← citeshttps://doi.org/10.1016/j.jmva.2004.10.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jmva.2014.05.010openalex-snapshot
Binary distributions of concentric rings
inferred← citeshttps://doi.org/10.1016/j.jspi.2019.09.008openalex-snapshot
A review of Gaussian Markov models for conditional independence
inferred← citeshttps://doi.org/10.1016/s0004-3702(02)00191-1openalex-snapshot
Learning Bayesian networks from data: An information-theory based approach
inferred← citeshttps://doi.org/10.1016/s0004-3702(02)00360-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0010-7824(01)00306-7openalex-snapshot
Contraceptives and cerebral thrombosis: a five-year national case-control study☆
inferred← citeshttps://doi.org/10.1016/s0010-7824(01)00307-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0010-7824(98)00032-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0010-7824(98)00033-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0167-9473(01)00105-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0167-9473(02)00119-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0167-9473(03)00066-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0167-9473(99)00064-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0377-2217(99)00055-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0378-8733(01)00029-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0888-613x(01)00041-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0888-613x(99)00026-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0898-1221(97)00222-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s1574-0080(00)80014-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1017/s0269964800002035openalex-snapshot
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inferred← citeshttps://doi.org/10.1023/a:1018901032102openalex-snapshot
A graphical characterization of lattice conditional independence models
inferred← citeshttps://doi.org/10.1051/mmnp/20138402openalex-snapshot
Mathematical Modelling Plant Signalling Networks
inferred← citeshttps://doi.org/10.1080/00949650412331299175openalex-snapshot
Fluctuation of estimates in an EM procedure for categorical data
inferred← citeshttps://doi.org/10.1080/01621459.2020.1817750openalex-snapshot
Copula Gaussian Graphical Models for Functional Data
inferred← citeshttps://doi.org/10.1080/01966324.1989.10737262openalex-snapshot
Probabilistic Reasoning in Expert Systems
inferred← citeshttps://doi.org/10.1080/02664769100000012openalex-snapshot
STENO:an expert system for medical diagnosis based on graphical models and model search
inferred← citeshttps://doi.org/10.1080/03081079508908035openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/03610929708831992openalex-snapshot
Iterative proportional fitting for nonhierarchical log-linear models
inferred← citeshttps://doi.org/10.1080/10705511.2022.2056039openalex-snapshot
The Challenge of Generating Causal Hypotheses Using Network Models
inferred← citeshttps://doi.org/10.1080/23249935.2016.1265019openalex-snapshot
Causal structure learning for travel mode choice using structural restrictions and model averaging algorithm
inferred← citeshttps://doi.org/10.1088/1367-2630/17/3/033002openalex-snapshot
The lesson of causal discovery algorithms for quantum correlations: causal explanations of Bell-inequality violations require fine-tuning
inferred← citeshttps://doi.org/10.1093/9780191775284.002.0006openalex-snapshot
Preface to first edition
inferred← citeshttps://doi.org/10.1093/9780191775284.003.0002openalex-snapshot
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inferred← citeshttps://doi.org/10.1093/9780191775284.003.0003openalex-snapshot
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inferred← citeshttps://doi.org/10.1093/9780191775284.003.0006openalex-snapshot
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inferred← citeshttps://doi.org/10.1093/9780191775284.005.0002openalex-snapshot
Linear algebra and random vectors
inferred← citeshttps://doi.org/10.1093/9780191775284.005.0003openalex-snapshot
The multivariate normal distribution
inferred← citeshttps://doi.org/10.1093/biomet/70.3.567openalex-snapshot
Collapsibility and Response Variables in Contingency Tables
inferred← citeshttps://doi.org/10.1093/biomet/79.3.441openalex-snapshot
Response Models for Mixed Binary and Quantitative Variables
inferred← citeshttps://doi.org/10.1093/biomet/88.1.13openalex-snapshot
Biometrika Centenary: Theory and general methodology
inferred← citeshttps://doi.org/10.1093/biomet/ass076openalex-snapshot
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inferred← citeshttps://doi.org/10.1103/physreva.96.012106openalex-snapshot
Restrictions for the causal inferences in an interferometric system
inferred← citeshttps://doi.org/10.1109/21.328910openalex-snapshot
Dynamic belief networks for discrete monitoring
inferred← citeshttps://doi.org/10.1109/72.641458openalex-snapshot
Structure of the high-order Boltzmann machine from independence maps
inferred← citeshttps://doi.org/10.1109/cimca.2008.21openalex-snapshot
Learning the Structure of Bayesian Networks Representing Influence Relations among Genes
inferred← citeshttps://doi.org/10.1109/glocom.2011.6134365openalex-snapshot
SCPS: A Social-Aware Distributed Cyber-Physical Human-Centric Search Engine
inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00128openalex-snapshot
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality
inferred← citeshttps://doi.org/10.1109/icphm.2011.6024344openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsmb.2010.5735348openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tc.2013.211openalex-snapshot
SCPS: A Social-Aware Distributed Cyber-Physical Human-Centric Search Engine
inferred← citeshttps://doi.org/10.1109/tkde.2007.190732openalex-snapshot
Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm
inferred← citeshttps://doi.org/10.1109/tsmcb.2005.862492openalex-snapshot
A functional-dependencies-based Bayesian networks learning method and its application in a mobile commerce system
inferred← citeshttps://doi.org/10.1111/1467-9469.00050openalex-snapshot
On the Markov Equivalence of Chain Graphs, Undirected Graphs, and Acyclic Digraphs
inferred← citeshttps://doi.org/10.1111/1467-9469.00145openalex-snapshot
Likelihood Factorizations for Mixed Discrete and Continuous Variables
inferred← citeshttps://doi.org/10.1111/1467-9469.00224openalex-snapshot
Alternative Markov Properties for Chain Graphs
inferred← citeshttps://doi.org/10.1111/j.1467-842x.1997.tb00691.xopenalex-snapshot
A NOTE ON MULTIVARIATE LOGISTIC MODELS FOR CONTINGENCY TABLES
inferred← citeshttps://doi.org/10.1111/j.1467-9469.2005.00490.xopenalex-snapshot
A Note on Collapsibility in DAG Models of Contingency Tables
inferred← citeshttps://doi.org/10.1111/j.1471-0528.1995.tb09070.xopenalex-snapshot
Oral contraceptives, pregnancy and the risk of cerebra1 thromboembolism: the influence of diabetes, hypertension, migraine and previous thrombotic disease
inferred← citeshttps://doi.org/10.1111/j.1541-0420.2009.01336.xopenalex-snapshot
Utilizing Gaussian Markov Random Field Properties of Bayesian Animal Models
inferred← citeshttps://doi.org/10.1111/j.1751-5823.1998.tb00413.xopenalex-snapshot
On the Application of Conditional Independence to Ordinal Data
inferred← citeshttps://doi.org/10.1111/j.1751-5823.2006.tb00298.xopenalex-snapshot
Causality and Causal Models: A Conceptual Perspective*
inferred← citeshttps://doi.org/10.1111/j.2517-6161.1986.tb01412.xopenalex-snapshot
On the Statistical Analysis of Dirty Pictures
inferred← citeshttps://doi.org/10.1111/j.2517-6161.1986.tb01413.xopenalex-snapshot
Discussion of Professor Besag's Paper
inferred← citeshttps://doi.org/10.1111/j.2517-6161.1987.tb01706.xopenalex-snapshot
Parametric Collapsibility and the Lack of Moderating Effects in Contingency Tables with a Dichotomous Response Variable
inferred← citeshttps://doi.org/10.1111/j.2517-6161.1988.tb01721.xopenalex-snapshot
Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
inferred← citeshttps://doi.org/10.1111/j.2517-6161.1988.tb01722.xopenalex-snapshot
Discussion of the Paper by Lauritzen and Spiegelhalter
inferred← citeshttps://doi.org/10.1111/j.2517-6161.1990.tb01771.xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s0218213005002235openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2362383.2362384openalex-snapshot
Learning bayesian networks from Markov random fields
inferred← citeshttps://doi.org/10.1145/266714.266920openalex-snapshot
Learning belief networks from data
inferred← citeshttps://doi.org/10.1146/annurev.cs.04.060190.000345openalex-snapshot
Reasoning Under Uncertainty
inferred← citeshttps://doi.org/10.1177/089826439100300305openalex-snapshot
Relationships between Knowledge and Belief Variables and Health Maintenance Behaviors in a Danish Population Over 45 Years of Age
inferred← citeshttps://doi.org/10.1184/r1/6491261openalex-snapshot
Conditional Independence in Directed Cyclic Graphical Models for Feedback
inferred← citeshttps://doi.org/10.1184/r1/6491414openalex-snapshot
Discovering Causal Relations Among Latent Variables in Directed Acyclical Graphical Models
inferred← citeshttps://doi.org/10.1201/b16812-50openalex-snapshot
Graphical Models for Probabilistic and Causal Reasoning
inferred← citeshttps://doi.org/10.1214/17-aos1618openalex-snapshot
Unifying Markov properties for graphical models
inferred← citeshttps://doi.org/10.1214/aos/1015345961openalex-snapshot
Separation and Completeness Properties for Amp Chain Graph Markov Models
inferred← citeshttps://doi.org/10.1214/aos/1069362752openalex-snapshot
A characterization of the Dirichlet distribution through global and local parameter independence
inferred← citeshttps://doi.org/10.1214/aos/1176347003openalex-snapshot
Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative
inferred← citeshttps://doi.org/10.1214/aos/1176349260openalex-snapshot
Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models
inferred← citeshttps://doi.org/10.1214/ss/1177010888openalex-snapshot
Bayesian Analysis in Expert Systems
inferred← citeshttps://doi.org/10.1214/ss/1177013428openalex-snapshot
Probabilistic Expert Systems in Medicine: Practical Issues in Handling Uncertainty
inferred← citeshttps://doi.org/10.1287/opre.40.3.463openalex-snapshot
Valuation-Based Systems for Bayesian Decision Analysis
inferred← citeshttps://doi.org/10.14490/jjss1995.29.105openalex-snapshot
IDENTIFIABILITY CRITERIA FOR CAUSAL EFFECTS OF JOINT INTERVENTIONS
inferred← citeshttps://doi.org/10.14490/jjss1995.30.115openalex-snapshot
SELECTION OF POST-TREATMENT VARIABLES FOR ESTIMATING TOTAL EFFECT FROM EMPIRICAL RESEARCH
inferred← citeshttps://doi.org/10.14490/jjss1995.31.175openalex-snapshot
THE GRAPHICAL CONDITION FOR IDENTIFYING ARROWS IN RECOVERING CAUSAL STRUCTURE
inferred← citeshttps://doi.org/10.15517/rmta.v10i1-2.223openalex-snapshot
Estrategia para la selección de modelos gráficos en tablas de contingencia no estructuradas
inferred← citeshttps://doi.org/10.1613/jair.1061openalex-snapshot
Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs
inferred← citeshttps://doi.org/10.1613/jair.329openalex-snapshot
Characterizations of Decomposable Dependency Models
inferred← citeshttps://doi.org/10.22237/jmasm/1351743360openalex-snapshot
Graphical Modeling for High Dimensional Data
inferred← citeshttps://doi.org/10.2307/2348513openalex-snapshot
Coherent Evidence Propagation in Expert Systems
inferred← citeshttps://doi.org/10.2307/2532139openalex-snapshot
A Monte Carlo Method for Bayesian Inference in Frailty Models
inferred← citeshttps://doi.org/10.2307/2669879openalex-snapshot
Log-Linear Models for Event Histories
inferred← citeshttps://doi.org/10.2307/3318662openalex-snapshot
On Association Models Defined over Independence Graphs
inferred← citeshttps://doi.org/10.30880/ijscet.2022.13.02.012openalex-snapshot
Rating of Knowledge Management Factors Affecting Construction Company Performance
inferred← citeshttps://doi.org/10.30880/ijscet.2022.13.04.030openalex-snapshot
Factors Affecting Academics Professional Development of Higher Education Institutions
inferred← citeshttps://doi.org/10.3115/981732.981752openalex-snapshot
Word-sense disambiguation using decomposable models
inferred← citeshttps://doi.org/10.31274/rtd-180813-13485openalex-snapshot
Spatial modeling using graphical Markov models and wavelets
inferred← citeshttps://doi.org/10.3390/s22207785openalex-snapshot
Pruning the Communication Bandwidth between Reinforcement Learning Agents through Causal Inference: An Innovative Approach to Designing a Smart Grid Power System
inferred← citeshttps://doi.org/10.48550/arxiv.1301.7366openalex-snapshot
Marginalizing in Undirected Graph and Hypergraph Models
inferred← citeshttps://doi.org/10.48550/arxiv.1302.1571openalex-snapshot
Score and Information for Recursive Exponential Models with Incomplete Data
inferred← citeshttps://doi.org/10.48550/arxiv.1302.4982openalex-snapshot
Directed Cyclic Graphical Representations of Feedback Models
inferred← citeshttps://doi.org/10.48550/arxiv.1304.2355openalex-snapshot
On the Logic of Causal Models
inferred← citeshttps://doi.org/10.48550/arxiv.1304.2380openalex-snapshot
MCE Reasoning in Recursive Causal Networks
inferred← citeshttps://doi.org/10.48550/arxiv.1407.7783openalex-snapshot
Graphical Markov models: overview
inferred← citeshttps://doi.org/10.5183/jjscs1988.14.11openalex-snapshot
BAYESIAN SEQUENTIAL LEARNING FROM INCOMPLETE DATA ON DECOMPOSABLE GRAPHICAL MODELS
inferred← citeshttps://doi.org/10.5555/1248547.1248624openalex-snapshot
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests
inferred← citeshttps://doi.org/10.5840/philtopics19901823openalex-snapshot
Independence Relations Produced by Parameter Values in Causal Models
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