The article introduces a new method for estimating bandwidth in nonparametric regression models. By using a Bayesian sampling approach, the researchers improve the accuracy of estimating the regression function. Their method outperforms traditional techniques like rule-of-thumb and cross-validation, as shown in simulations. This new approach can be applied to various models, such as those involving firm ownership concentration.