Remodeling Forensic Skeletal Age: Modern Applications and New Research Directions presents a comprehensive understanding of the analytical frameworks and conceptual approaches salient both to the present chapters on forensic age estimation and to those seeking to grasp the current state of the field more broadly. It also includes a series of recommendations of best practice through the chapter-examples, which offer theory and guidance for data acquisition, technique and/or model development, and the assessment of impact of the adopted approaches, considering the assumptions that underlie of the forensic decision-making process.
Written for a global perspective by leading, international experts, the 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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