This study aimed to explore the predictive value of clinical and pelvic ultrasound parameters for diagnosing central precocious puberty (CPP) and to establish a clinically useful simplified prediction
We present ensemble Bayesian model averaging (EBMA) and illustrate its ability to aid scholars in the social sciences to make more accurate forecasts of future events. In essence, EBMA improves predic
Models are presented in descending order of overall mean success (defined in (18)). , defined in (17), is the success score for prediction when using n data points and predicting at future depth d, i.
