Bayesian Hazard Function Estimation
Bayesian Hazard Function Estimation is a statistical methodology that belongs to the class of Bayesian survival analysis techniques, distinguished by its use of prior distributions and posterior inference to estimate the time-varying hazard function while incorporating uncertainty and model parameters in a fully probabilistic framework.
136
Publications
4.5K
Citations
333
Authors
230
Institutions
Publications per year
2017–2026
34
Parents
136
Bayesian Nonparametric Nonproportional Hazards Survival Modeling
Maria De Iorio, Wesley O. Johnson, Peter Müller et al. · Biometrics · 2009 · 153 citations · Full text
A new extended rayleigh distribution with applications of COVID-19 data
Hisham M. Almongy, Ehab M. Almetwally, Hassan M. Aljohani et al. · Results in Physics · 2021 · 109 citations · Full text
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University of North Carolina at Chapel Hill, United States
3 publications · 164 citations
3
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230
Universidade Federal de São Carlos
São Carlos, Brazil
6 h-index
11 publications
237 citations
University of Connecticut
Storrs, United States
6 h-index
12 publications
536 citations
Universidade de São Paulo
São Paulo, Brazil
5 h-index
10 publications
196 citations
Quaid-i-Azam University
Islamabad, Pakistan
5 h-index
6 publications
258 citations

Savitribai Phule Pune University
Pune, India
5 h-index
10 publications
144 citations

Imperial College London
London, United Kingdom
4 h-index
4 publications
463 citations

Université de Caen Normandie
Caen, France
3 h-index
3 publications
42 citations

Tanta University
Tanta, Egypt
3 h-index
4 publications
90 citations
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8 publications · 457 citations
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8 publications · 233 citations
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7 publications · 193 citations
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CSDA · 4 publications · 126 citations
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4 publications · 159 citations
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