Non-linear failure rate: a Bayes study using Hamiltonian Monte Carlo simulation
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Publication:2191253
DOI10.1016/j.ijar.2020.04.007zbMath1452.62230OpenAlexW3017279267MaRDI QIDQ2191253
Radim Bris, Frank P. A. Coolen, Tien T. Thach, Petr Volf
Publication date: 24 June 2020
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: http://dro.dur.ac.uk/30600/1/30600.pdf
maximum likelihood estimatorsloss functionscross-entropy methodHamiltonian Monte CarloBayesian estimatorsnonlinear failure rate
Uses Software
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