title: New applications of maximum likelihood and Bayesian statistics in macromolecular crystallography.
abstract: Maximum likelihood methods are well known to macromolecular crystallographers as the methods of choice for isomorphous phasing and structure refinement. Recently, the use of maximum likelihood and Bayesian statistics has extended to the areas of molecular replacement and density modification, placing these methods on a stronger statistical foundation and making them more accurate and effective.
authors.affiliation: University of Cambridge, Department of Haematology, Cambridge Institute for Medical Research, Wellcome Trust/MRC Building, Hills Road, Cambridge CB2 2XY, UK. ajm201@cam.ac.uk
authors.forename: Airlie J
authors.initials: AJ
authors.lastname: McCoy
mesh_terms: D001499:Bayes Theorem; D003461:Crystallography / Q000379:methods*; D016013:Likelihood Functions; D008968:Molecular Conformation; D011336:Probability