Now showing items 2603-2622 of 2985

    • A Statistical Analysis of the Aggregation of Crowdsourced Labels 

      Szepesvari, David (University of Waterloo, 2015-10-29)
      Crowdsourcing, due to its inexpensive and timely nature, has become a popular method of collecting data that is difficult for computers to generate. We focus on using this method of human computation to gather labels for ...
    • Statistical Analysis with Non-probability Survey Samples 

      Chen, Yilin (University of Waterloo, 2020-09-25)
      The goal of this thesis is to develop inferential procedures with non-probability survey samples. In recent years, the use of non-probability survey samples has become one of the most important topics in the area. Contrast ...
    • Statistical Inference and Pricing for Regime Switching Models in Finance and Insurance 

      Lin, Fangyuan (University of Waterloo, 2016-09-02)
      This thesis studies the estimation, goodness-of-fit testing, pricing and sampling problems for regime switching models, which are popularly used in financial markets. Specifically, we consider such models whose distributions ...
    • Statistical Inference on Stochastic Graphs 

      Hosseinkashi, Yasaman (University of Waterloo, 2011-07-08)
      This thesis considers modelling and applications of random graph processes. A brief review on contemporary random graph models and a general Birth-Death model with relevant maximum likelihood inference procedure are ...
    • Statistical Issues in Modeling Chronic Disease in Cohort Studies 

      Cook, Richard J.; Lawless, Jerald F. (Springer, 2014)
      Observational cohort studies of individuals with chronic disease provide information on rates of disease progression, the effect of fixed and time-varying risk factors, and the extent of heterogeneity in the course of ...
    • Statistical Learning and Stochastic Process for Robust Predictive Control of Vehicle Suspension Systems 

      Mozaffari, Ahmad (University of Waterloo, 2017-09-12)
      Predictive controllers play an important role in today's industry because of their capability of verifying optimum control signals for nonlinear systems in a real-time fashion. Due to their mathematical properties, such ...
    • Statistical Learning Approaches to Some Classification Problems 

      Gweon, Hyukjun (University of Waterloo, 2017-08-01)
      Classification is essential in statistical learning. This thesis deals with three topics in classification: multi-label classification, nonparametric multi-class classification and a special type of text categorization ...
    • Statistical Learning in Drug Discovery via Clustering and Mixtures 

      Wang, Xu (University of Waterloo, 2007-09-20)
      In drug discovery, thousands of compounds are assayed to detect activity against a biological target. The goal of drug discovery is to identify compounds that are active against the target (e.g. inhibit a virus). Statistical ...
    • Statistical Methods for Event History Data under Response Dependent Sampling and Incomplete Observation 

      Shi, Yidan (University of Waterloo, 2020-07-17)
      This thesis discusses statistical problems in event history data analysis including survival analysis and multistate models. Research questions in this thesis are motivated by the Nun Study, which contains longevity data ...
    • Statistical Methods for High Throughput Screening Drug Discovery Data 

      Wang, Yuanyuan (Marcia) (University of Waterloo, 2005)
      High Throughput Screening (HTS) is used in drug discovery to screen large numbers of compounds against a biological target. Data on activity against the target are collected for a representative sample of compounds ...
    • Statistical Methods for Incomplete Covariates and Two-Phase Designs 

      McIsaac, Michael (University of Waterloo, 2013-01-24)
      Incomplete data is a pervasive problem in health research, and as a result statistical methods enabling inference based on partial information play a critical role. This thesis explores estimation of regression coefficients ...
    • Statistical methods for incomplete data: Some results on model misspecification 

      McIsaac, Michael A.; Cook, Richard J. (Sage Publishing, 2017-02-01)
      Inverse probability weighted estimating equations and multiple imputation are two of the most studied frameworks for dealing with incomplete data in clinical and epidemiological research. We examine the limiting behaviour ...
    • Statistical Methods for Large-scale Multiple Testing Problems 

      Gao, Yu (University of Waterloo, 2019-04-26)
      A large-scale multiple testing problem simultaneously tests thousands or even millions of null hypotheses, and it is widely used in different fields, for example genetics and astronomy. An error rate serves as a measure ...
    • Statistical Methods for Life History Analysis Involving Latent Processes 

      Shen, Hua (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 ...
    • Statistical Methods for Multi-State Analysis of Incomplete Longitudinal Data 

      Chen, Baojiang (University of Waterloo, 2008-09-25)
      Analyses of longitudinal categorical data are typically based on semiparametric models in which covariate effects are expressed on marginal probabilities and estimation is carried out based on generalized estimating ...
    • Statistical Methods in the Search for a Dominant Cause of Variation 

      Panahi, Mahsa (University of Waterloo, 2023-12-15)
      Excessive variation in critical-to-quality characteristics, referred to as process outputs in this thesis, is a common issue in manufacturing industries. Most variation reduction frameworks initially investigate the process ...
    • Statistical Methods on Survival Data with Measurement Error 

      Yan, Ying (University of Waterloo, 2014-08-25)
      In survival data analysis, covariates are often subject to measurement error. A naive analysis with measurement error ignored commonly leads to biased estimation of parameters of survival models. Measurement error also ...
    • Statistical Models and Methods for Dependent Life History Processes 

      Lee, Jooyoung (University of Waterloo, 2018-11-28)
      This thesis deals with statistical issues in the analysis of complex life history processes which have characteristics of heterogeneity and dependence. We are motivated, in this thesis, by three specific types of ...
    • Statistical Physics Of Vaccination 

      Wang, Zhen; Bauch, Chris T.; Bhattacharyya, Samit; d'Onofrio, Alberto; Manfredi, Piero; Perc, Matjaz; Perra, Nicola; Salathe, Marcel; Zhao, Dawei (Elsevier, 2016-12-09)
      Historically, infectious diseases caused considerable damage to human societies, and they continue to do so today. To help reduce their impact, mathematical models of disease transmission have been studied to help understand ...
    • A Statistical Response to Challenges in Vast Portfolio Selection 

      Guo, Danqiao (University of Waterloo, 2019-07-04)
      The thesis is written in response to emerging issues brought about by an increasing number of assets allocated in a portfolio and seeks answers to puzzling empirical findings in the portfolio management area. Over the ...

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