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Statistical Problems in Particle Physics, Astrophysics and Cosmology
Rapid accumulation of substantial datasets is now common in many data processing applications. For example in monitoring and examining Internet traffic; analysing high-frequency financial data in market trading; voice and video capture; data logging in numerous areas of scientific enquiry. Markov Chain Monte Carlo (MCMC) methods revolutionised statistical analysis in the 1990s by providing practical, computationally-feasible access to the flexible and coherent framework of Bayesian inference.doi:10.1142/9781860948985_0048 fatcat:267asupnbve27ewc2zdn57xt7y