Bayesian nonparametric estimation of first passage distributions in semi‐Markov processes
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/09/04
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Indian UGC (journal)
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Refrences41
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Citations1
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Richard L. Warr Department of Statistics Brigham Young University Provo Utah ORCID (unauthenticated)
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Travis B. Woodfield Department of Statistics Brigham Young University Provo Utah
Abstract
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Social Sciences
Commerce
Business
Social Sciences
Economic theory
Demography
Economics as a science
Technology
Manufactures
Production management
Operations management
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| SemiMarkov: an R package for parametric estimation in multi‐state semi‐Markov models | 2015 | |||
| Bayesian nonparametric hidden semi‐Markov models | 2013 | |||
| System reliability and safety assessment using non‐parametric flowgraph models | 2008 | |||
| Some investigations concerning recurrent stochastic processes of a certain type | 1954 | |||
| Semi‐Markov Processes and Reliability | 2012 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Bootstrapping through discrete convolutional methods | Applied Stochastic Models in Business and Industry |
| 2023 |
Citations Analysis
The category
Technology: Manufactures: Production management. Operations management 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Bootstrapping through discrete convolutional methods and was published in 2023. The most recent citation comes from a 2023 study titled Bootstrapping through discrete convolutional methods. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals. Among related journals, the Applied Stochastic Models in Business and Industry cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.