A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications (2025)
- Authors:
- Autor USP: BUENO, VANDERLEI DA COSTA - IME
- Unidade: IME
- DOI: 10.1007/s11009-025-10153-x
- Subjects: PESQUISA OPERACIONAL; PROGRAMAÇÃO MATEMÁTICA; MARTINGAL
- Keywords: Conditioned Kullback-Leibler divergence measure; Conditional relative cumulative residual information generating measure; Cumulative residual inaccuracy measure; Point process martingale; Stochastic inequalities; General repair processes
- Language: Inglês
- Imprenta:
- Source:
- Título: Methodology and Computing in Applied Probability
- ISSN: 1387-5841
- Volume/Número/Paginação/Ano: v. 27, artigo n. 27, p. 1-25, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BUENO, Vanderlei da Costa e BALAKRISHNAN, Narayanaswamy. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications. Methodology and Computing in Applied Probability, v. 27, n. artigo 27, p. 1-25, 2025Tradução . . Disponível em: https://doi.org/10.1007/s11009-025-10153-x. Acesso em: 18 fev. 2026. -
APA
Bueno, V. da C., & Balakrishnan, N. (2025). A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications. Methodology and Computing in Applied Probability, 27( artigo 27), 1-25. doi:10.1007/s11009-025-10153-x -
NLM
Bueno V da C, Balakrishnan N. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications [Internet]. Methodology and Computing in Applied Probability. 2025 ; 27( artigo 27): 1-25.[citado 2026 fev. 18 ] Available from: https://doi.org/10.1007/s11009-025-10153-x -
Vancouver
Bueno V da C, Balakrishnan N. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications [Internet]. Methodology and Computing in Applied Probability. 2025 ; 27( artigo 27): 1-25.[citado 2026 fev. 18 ] Available from: https://doi.org/10.1007/s11009-025-10153-x - An inaccuracy measure between non-explosive point processes with applications to Markov chains
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Informações sobre o DOI: 10.1007/s11009-025-10153-x (Fonte: oaDOI API)
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