Bayesian model based on Markov chain Monte Carlo for identifying mine water sources in Submarine Gold Mining

Monte Carlo sampling methods using Markov chains and their applications

W. Keith Hastings · Biometrika · 1970 · 15.2K citations

Natural Sciences, Mathematics, Probability Theory +16

The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective

John K. Kruschke, Torrin M. Liddell · Psychonomic Bulletin & Review · 2017 · 1.3K citations · Full text

Natural Sciences, Biostatistics, Psychology +13

Monte Carlo Calculations of the Radial Distribution Functions for a Proton?Electron Plasma

A. A. Barker · Australian Journal of Physics · 1965 · 260 citations · Full text

Natural Sciences, Physics, Computational Physics +8

Hydrogeological Classification and Water Inrush Accidents in China’s Coal Mines

Wenjie Sun, Wanfang Zhou, Jian Jiao · Mine Water and the Environment · 2015 · 127 citations

Engineering, Earth Sciences, Mining Engineering +16

Risk assessment of water inrush in karst tunnels and software development

Liping Li, Ting Lei, Shucai Li et al. · Arabian Journal of Geosciences · 2014 · 95 citations

Engineering, Civil Engineering, Geological Engineering +17