Bayesian Confirmation Measures can be used in ranking inductive rules obtained as an output when using Association Rules in database mining. Many measures of this kind have been defined and the choice of the right one can be considered as a further challenge to be faced. In this paper we try to...

The combination of experts' probability distributions involved in a due diligence is valuable for encapsulating the accumulated information for decision makers and providing the current state of expert opinion regarding important uncertainties. Therefore, this paper shows how to create and...

The widespread use of the Internet and computer systems has led to a situation where data are available on almost everything. The volume and the level of detail of these data is something we considered to be impossible until a few years ago. Researchers in economics and business now have access...

We analyze the properties of a bias-corrected realized variance (RV) in the presence of iid market microstructure noise. The bias correction is based on the first-order autocorrelation of intraday returns and we derive the optimal sampling frequency as defined by the mean squared error (MSE)...

Develops a robust statistical procedure to analyze the trend in height if the available samples are truncated at the minimum height requirement.

We contrast two approaches to the prediction of latent variables in the model of factor analysis. The likelihood statistic constitutes the set of minimal sufficient statistics for the unobservables when sampling arises from the exponential family of distributions. Linear predictors on the other...