A Fully Bayesian Approach to Adult Skeletal Age Estimation: Multivariate Latent Trait Modeling With Markov Chain Monte Carlo Sampling

Nils Müller‐Scheeßel, Katharina Fuchs, Christoph Rinne

Open source

DOI: 10.1002/ajpa.70289
Published: 2026-06
Container: American Journal of Biological Anthropology
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/ajpa.70289,
  title = {A Fully Bayesian Approach to Adult Skeletal Age Estimation: Multivariate Latent Trait Modeling With Markov Chain Monte Carlo Sampling},
  author = {Nils Müller‐Scheeßel and Katharina Fuchs and Christoph Rinne},
  year = {2026},
  journal = {American Journal of Biological Anthropology},
  doi = {10.1002/ajpa.70289},
  url = {https://doi.org/10.1002/ajpa.70289}
}

RIS

TY  - JOUR
TI  - A Fully Bayesian Approach to Adult Skeletal Age Estimation: Multivariate Latent Trait Modeling With Markov Chain Monte Carlo Sampling
AU  - Nils Müller‐Scheeßel
AU  - Katharina Fuchs
AU  - Christoph Rinne
PY  - 2026
JO  - American Journal of Biological Anthropology
DO  - 10.1002/ajpa.70289
UR  - https://doi.org/10.1002/ajpa.70289
ER  -

APA

Müller‐Scheeßel, N., Fuchs, K., & Rinne, C. (2026). A Fully Bayesian Approach to Adult Skeletal Age Estimation: Multivariate Latent Trait Modeling With Markov Chain Monte Carlo Sampling. American Journal of Biological Anthropology. https://doi.org/10.1002/ajpa.70289

Source records

crossref · retrieved 2026-09-25T22:36:21.350Z