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POLYCHORD: next-generation nested sampling
DOI:10.1093/mnras/stv1911.png)
摘要
En 中文
POLYCHORD is a novel nested sampling algorithm tailored for high-dimensional parameter spaces. This paper coincides with the release of POLYCHORD v1.6, and provides an extensive account of the algorithm. POLYCHORD utilizes slice sampling at each iteration to sample within the hard likelihood constraint of nested sampling. It can identify and evolve separate modes of a posterior semi-independently, and is parallelized using OPENMPI. It is capable of exploiting a hierarchy of parameter speeds such as those present in COSMOMC and CAMB, and is now in use in the COSMOCHORD and MODECHORD codes. POLYCHORD is available for download from http://ccpforge.cse.rl.ac.uk/gf/project/polychord/.
Keyword:
methods: data analysis
methods: statistical
期刊
IF:
4.8
论文数:
7.1W
被引数:
26.4W
机构
引用论文
Multimodal nested sampling: an efficient and robust alternative to Markov Chain Monte Carlo methods for astronomical data analyses多模态嵌套采样: 用于天文数据分析的马尔可夫链蒙特卡洛方法的有效且稳健的替代方法

