Hoeffding’s inequality provides a probability bound for the deviation between the average of n independent bounded random variables and its mean. This paper introduces two inequalities that extend Hoeffding’s inequality to panel data, which consists of several mutually independent sequences...

As a generalization of the accelerated failure time models, we consider parametric models of lifetime Y, where the conditional mean E(Y|X;beta) can depend nonlinearly on the covariates X and some parameters beta. The error distribution can be heteroscedastic and dependent on X. With observed...

Jiang and Tanner (2008) consider a method of classification using the Gibbs posterior which is directly constructed from the empirical classification errors. They propose an algorithm to sample from the Gibbs posterior which utilizes a smoothed approximation of the empirical classification...

We propose Bayesian model selection based on composite datasets, which can be constructed from various subsample estimates. The method remains consistent without fully specifying a probability model, and is useful for dependent data, when asymptotic variance of the parameter estimator is...

Research has paid scant attention to reparative behavior to compensate for unintended wrongdoing or to the role of emotions in doing the right thing. We propose a new approach to investigating reparative behavior by looking at moral emotions and psychological proximity. In this study, we compare...

As organizations globalize, culturally based variation in the ways employees conceptualize their relationships with their employers increases in importance. In the competition for talent, organizations must understand employee preferences and expectations regarding their treatment by the firm....