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.