Probabilities of causation and root cause analysis with quasi-Markovian models (2026)
- Authors:
- USP affiliated authors: COZMAN, FABIO GAGLIARDI - EP ; MAUÁ, DENIS DERATANI - IME ; LAWAND, DANIEL ANGELO ESTEVES - IME ; COELHO, DAVI GONCALVES BEZERRA - IME ; MARQUES, LUCAS MARTINS - EP
- Unidades: EP; IME
- DOI: 10.1007/978-3-032-15984-7_25
- Subjects: COMPUTAÇÃO EM NUVEM; INFERÊNCIA BAYESIANA E REDES DE CRENÇA; CADEIAS DE MARKOV
- Keywords: Root cause analysis; Partial identifiability; Causal inference
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 16180 LNAI, p. 362-376, 2026
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
LAURENTINO, Eduardo Rocha et al. Probabilities of causation and root cause analysis with quasi-Markovian models. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-032-15984-7_25. Acesso em: 06 maio 2026. , 2026 -
APA
Laurentino, E. R., Cozman, F. G., Mauá, D. D., Lawand, D. A. E., Coelho, D. G. B., & Marques, L. M. (2026). Probabilities of causation and root cause analysis with quasi-Markovian models. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-032-15984-7_25 -
NLM
Laurentino ER, Cozman FG, Mauá DD, Lawand DAE, Coelho DGB, Marques LM. Probabilities of causation and root cause analysis with quasi-Markovian models [Internet]. Lecture Notes in Computer Science. 2026 ; 16180 LNAI 362-376.[citado 2026 maio 06 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_25 -
Vancouver
Laurentino ER, Cozman FG, Mauá DD, Lawand DAE, Coelho DGB, Marques LM. Probabilities of causation and root cause analysis with quasi-Markovian models [Internet]. Lecture Notes in Computer Science. 2026 ; 16180 LNAI 362-376.[citado 2026 maio 06 ] Available from: https://doi.org/10.1007/978-3-032-15984-7_25 - Multilinear and linear programs for partially identifiable queries in quasi-markovian structural causal models
- Dealing with cycles in graph-based probabilistic models: the case of Logical Credal Networks
- Robustifying sum-product networks
- The complexity of Bayesian networks specified by propositional and relational languages
- The finite model theory of bayesian networks: descriptive complexity
- The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws
- Complexity results for probabilistic answer set programming
- The structure and complexity of credal semantics
- On the complexity of propositional and relational credal networks
- The effect of combination functions on the complexity of relational Bayesian networks
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3290630_-_Probabilities_o... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
