Bayesian Age Prediction Calculator
Estimate chronological age from morphological observations using the shared Bayesian model; sex determines the validated applicability range.
Shared Bayesian model
Enter observations
Values update automatically. Half-point entries are accepted for bilateral averages.
Model and validation details
Reference sample533 females; male validation sample n = 596 at age ≥45
Reference agesFemale 16–93; Male 45–101 years
Female CV RMSE5.65 years
Male ≥45 RMSE4.75 years
95% range coverage94.2% female; 96.1% male ≥45
MethodShared female-derived second-order empirical-Bayes regression; no practical sex-specific offset required for males ≥45
Posterior prediction
Predicted age
—
years
80% interval
—
years
95% interval
—
years
Enter observations to calculate a prediction.
Posterior predictive distribution
shaded bands show 80% and 95% prediction ranges
A posterior predictive interval describes plausible ages for a new individual under this model. It is wider than uncertainty around the regression mean because it includes individual variation.
Research-use caution: The female base is internally validated across its observed
female age range. Male applicability was validated for ages 45–101 and should not
be extended to younger males without further validation.