Hierarchical Bayes modelling of penalty conversion rates of Bundesliga players

Integrating hierarchical Bayes with phosphorus loading modelling

Article history: Received 17 May 2015 Received in revised form 19 July 2015 Accepted 22 July 2015 Available online 30 July 2015

Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach

This article presents a novel model for evaluating the performance of field players in football. Based upon Data Envelopment Analysis (DEA), we employ a nonconcave metafrontier approach that permits estimation of players’ efficiency scores under consideration of their playing positions. The model is applied to a data set of Germany’s premier league football players covering the playing seasons ...

Small Area Estimation of the Mean of Household\'s Income in Selected Provinces of Iran with Hierarchical Bayes Approach

Extended Abstract. Small area estimation has received a lot of attention in recent years due to necessity demand for reliable small area statistics. Direct estimator may not provide adequate precision, because sample size in small areas is seldom large enough. Hence, by employing models that can use auxiliary information and area effects in descriptions, one can increase the precision of direct...

Exploration of Empirical-Bayes Hierarchical Modelling for the Analysis of Genome-Wide Association Study Data

1 Mixture Model and Bayesian Model Interpretations Combining Equations 2.1 and 2.2 (Main Text), we can consider the empirical-Bayes hierarchical model as a mixed model with both fixed and random effects in the frequentist setting as given by: logit(pmi) = αm + ZmγXmi +Xmiτ tmm, where ZmγXmi would be considered a fixed effect and Xmiτ tmm a random effect. Alternatively, this model may be viewed ...

Hierarchical Bayes multivariate estimation of poverty rates based on increasing thresholds for small domains