Flexible tree-structured regression models for discrete event times

Tree-structured smooth transition regression models

This paper introduces a tree-based model that combines aspects of CART (Classification and Regression Trees) and STR (Smooth Transition Regression). The model is called the Smooth Transition Regression Tree (STR-Tree). The main idea relies on specifying a parametric nonlinear model through a tree-growing procedure. The resulting model can be analyzed as a smooth transition regression with multi...

Tree Structured Interpretable Regression

Control of Event Separation times in Discrete Event Systems

The class of timed discrete event systems which can be modelled by automata known as timed event graphs are structurally related to nite state machines. Consequently, supervisory control problems for these timed DES can be addressed using methods similar to those developed for their untimed counterparts. When the desired behavior takes the form of minimum separation times between events, it als...

Nonparametric Regression Model with Tree-structured Response

Highly developed science and technology from the last two decades motivated the study of complex data objects. In this paper, we consider the topological properties of a population of tree-structured objects. Our interest centers on modeling the relationship between a tree-structured response and other covariates. For tree objects, this poses serious challenges since most regression methods rel...

Structured Parallel Simulation of Discrete-Event Systems

Parallel simulation has not been widely accepted by the simulation practitioners due to the lack of language support and tools necessary for developing eecient parallel simulators. This paper describes the design of SPaDES (Structured Parallel Discrete-Event Simulation), a struc-tured parallel simulation workbench for developing portable simulation models, and a platform for designing experimen...