arXiv
Open Access
2023
Binned Likelihood including Monte Carlo Statistical Uncertainty in Bayesian Inference
Shilin Liu
Clark McGrew
Abstrak
Data analysis in HEP experiments often uses binned likelihood from data and finite Monte Carlo sample. Statistical uncertainty of Monte Carlo sample has been introduced in Frequentist Inference in some literatures, but they are not suitable for Bayesian Inference. This technical note introduces the binned likelihood with Monte Carlo statistical uncertainty in Bayesian Inference and includes the derivation of it. It turns out that the results are similar to the results in [1]. But this tech-note gives an alternate and more intuitive derivation of the content
Topik & Kata Kunci
Penulis (2)
S
Shilin Liu
C
Clark McGrew
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2023
- Bahasa
- en
- Sumber Database
- arXiv
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- Open Access ✓