The goal of this paper is to introduce a class of tree-structured models that combines aspects of regression trees and smooth transition regression models. The model is called the Smooth Transition Regression Tree (STR-Tree). ...

This chapter compares two Bayesian nonparametric models that generalize the accelerated failure time model, based on recent work on probability models for predictor-dependent probability distributions. It begins by reviewing ...

The state-of-practice method to produce good and formal work instructions for construction laborers takes time, is error prone and produces outcomes with inconsistent format and content. That is why contractors rely on ...

This work considers probability models for partitions of a set of n elements using a predictive approach, i.e., models that are specified in terms of the conditional probability of either joining an already existing cluster ...

This study integrates Social Cognitive Theory with the Job Demands-Resources Model to examine self-efficacy in relation to emotional exhaustion and work-family conflict (WFC) in a sample of 192 employees. The results ...

This work proposes joint modeling of parameters in the biparametric exponential family, including heteroscedastic linear regression (non linear regression) models; with joint modeling of the mean and precision (the ...

The increase of computing power of the microcomputers has stimulated the building of direct manipulation interfaces that allow graphical representation of Linear Programming (LP) models. This work discusses the components ...