Browsing Statistics and Actuarial Science by Subject "EM algorithm"
Now showing items 1-9 of 9
-
Analysis of interval-censored recurrent event processes subject to resolution
(Wiley, 2015-09)Interval-censored recurrent event data arise when the event of interest is not readily observed but the cumulative event count can be recorded at periodic assessment times. In some settings, chronic disease processes may ... -
Dependence modeling for multi-type recurrent events via copulas
(Wiley, 2019-09-20)When several types of recurrent events may arise, interest often lies in marginal modeling and studying the nature of the dependence structure. In this paper, we propose a multivariate mixed-Poisson model with the dependence ... -
A dynamic Mover–Stayer model for recurrent event processes subject to resolution
(Springer US, 2014-07)In studies of affective disorder, individuals are often observed to experience recurrent symptomatic exacerbations warranting hospitalization. Interest may lie in modeling the occurrence of such exacerbations over time ... -
Empirical Likelihood Quantile Regression for Right-Censored Data
(University of Waterloo, 2018-12-17)Quantile estimation of time-to-event data plays a key role in many medical applications, especially conditional on covariates of interest. In such settings, bias due to model misspecification is an important concern. As ... -
Generalizations and Applications of the Stochastic Block Model to Basketball Games and Variable Selection Problems
(University of Waterloo, 2017-01-24)Over the past decade, there has been an explosion of network data in a vast number of circumstances, such as the World Wide Web, social networks, gene interactions, economic networks, etc. Scientific analysis of networks ... -
A Multistate Model for Bivariate Interval-Censored Failure Time Data
(Wiley, 2008-12)Interval-censored life-history data arise when the events of interest are only detectable at periodic assessments. When interest lies in the occurrence of two such events, bivariate-interval censored event time data are ... -
The optimality of a dividend barrier strategy for Levy insurance risk processes, with a focus on the univariate Erlang mixture
(University of Waterloo, 2011-08-31)In insurance risk theory, the surplus of an insurance company is modelled to monitor and quantify its risks. With the outgo of claims and inflow of premiums, the insurer needs to determine what financial portfolio ensures ... -
Penalized Regression for Interval-Censored Times of Disease Progression: Selection of HLA Markers in Psoriatic Arthritis
(Wiley, 2015-09)Times of disease progression are interval-censored when progression status is only known at a series of assessment times. This situation arises routinely in clinical trials and cohort studies when events of interest are ... -
Statistical Methods for Life History Analysis Involving Latent Processes
(University of Waterloo, 2014-05-22)Incomplete data often arise in the study of life history processes. Examples include missing responses, missing covariates, and unobservable latent processes in addition to right censoring. This thesis is on the development ...