Remodeling Forensic Skeletal Age: Modern Applications and New
Research Directions presents a comprehensive understanding of the
analytical frameworks and conceptual approaches surrounding
forensic age estimation and the current state of the field. The
book also includes a series of recommendations of best practice
through chapter-examples that offer theory and guidance for data
acquisition, technique and/or model development, and the assessment
of impact of the adopted approaches. Written by leading,
international experts, the book's contributors provide an
introduction, conceptual understanding and taxonomy of statistical
frameworks and computational approaches, including the Bayesian
paradigm and machine learning techniques for age estimation.
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