Modeling Best Practice Life Expectancy Using Gumbel Autoregressive Models

Changing dynamics: Time-varying autoregressive models using generalized additive modeling.

In psychology, the use of intensive longitudinal data has steeply increased during the past decade. As a result, studying temporal dependencies in such data with autoregressive modeling is becoming common practice. However, standard autoregressive models are often suboptimal as they assume that parameters are time-invariant. This is problematic if changing dynamics (e.g., changes in the tempora...

Life Expectancy

Cardiac arrhythmia classification using autoregressive modeling

BACKGROUND Computer-assisted arrhythmia recognition is critical for the management of cardiac disorders. Various techniques have been utilized to classify arrhythmias. Generally, these techniques classify two or three arrhythmias or have significantly large processing times. A simpler autoregressive modeling (AR) technique is proposed to classify normal sinus rhythm (NSR) and various cardiac ar...

Methods for life expectancy and healthy life expectancy uncertainty analysis

Modeling migraine severity with autoregressive ordered probit models

Longitudinal data with ordinal outcomes routinely appear in medical applications. An example is the analysis of clinical diaries where patients are asked to score the severity of their symptoms. In this framework, a class of dynamic models for ordinal repeated responses with subjectspecific random effects and distinguished correlation structures for different groups of patients is presented. Mo...