Multivariable spatial prediction

Bayesian Prediction in Spatial Data Analysis

Multivariable prediction of renal insufficiency developing after cardiac surgery.

BACKGROUND Renal insufficiency after coronary artery bypass graft (CABG) surgery is associated with increased short-term and long-term mortality. We hypothesized that preoperative patient characteristics could be used to predict the patient-specific risk of developing postoperative renal insufficiency. METHODS AND RESULTS Data were prospectively collected on 11,301 patients in northern New En...

Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms

This paper presents an intelligent method based on multiuobjective genetic algorithm (MOGA) for prediction of limit cycle in multivariable nonlinear systems. First we address how such the systems may be investigated using the Single Sinusoidal Input Describing Function (SIDF) philosophy. The extension of the SIDF to multi loop nonlinear systems is presented. For the class of separable nonlinear...

Literature Review Spatial Prediction

This paper identifies the need for politicians, planners and social scientist to be provided the tools to clarify and manipulate spatial distributions to predict future developments. Bayesian statistics offers a way to estimate values of a variable at locations that are not sampled. The paper tries to address a case where Tobler’s law is not applicable. They are using Marcov Chain Monte Carlo a...

Spatial Sampling and Prediction

vii