arXiv Open Access 2023

Binned Likelihood including Monte Carlo Statistical Uncertainty in Bayesian Inference

Shilin Liu Clark McGrew
Lihat Sumber

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

Format Sitasi

Liu, S., McGrew, C. (2023). Binned Likelihood including Monte Carlo Statistical Uncertainty in Bayesian Inference. https://arxiv.org/abs/2304.05433

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓