Now showing items 22-41 of 46

    • Latent models for cross-covariance 

      Wegelin, Jacob A (2001)
      Cross-covariance problems arise in the analysis of multivariate data that can be divided naturally into two blocks of variables, X and Y, observed on the same units. In a cross-covariance problem we are interested, not in ...
    • Learning and Manifolds: Leveraging the Intrinsic Geometry 

      Perrault-Joncas, Dominique Chipman (2013-07-23)
      In this work, we explore and exploit the use of differential operators on manifolds - the Laplace-Beltrami operator in particular - in learning tasks. In particular, we are interested in uncovering the geometric structure ...
    • The Likelihood Pivot: Performing Inference with Confidence 

      Harmon, James Warren
      Maximum likelihood estimation is a popular statistical method. To account for possible model misspecification, the sandwich estimate of variance can be used to generate asymptotically correct confidence intervals. Several ...
    • Likelihood-Based Inference for Partially Observed Multi-Type Markov Branching Processes 

      Xu, Jason
      Markov branching processes are a class of continuous-time Markov chains (CTMCs) frequently used in stochastic modeling with ubiquitous applications. Bivariate or multi-type processes are necessary to model phenomena such ...
    • Lord's Paradox and Targeted Interventions: The Case of Special Education 

      Theobald, Roderick Jenkins
      Lord (1967) describes a hypothetical “paradox” in which two statisticians, analyzing the same dataset using different but defensible methods, come to very different conclusions about the effects of an intervention on student ...
    • Maximum likelihood estimation in Gaussian AMP chain graph models and Gaussian ancestral graph models 

      Drton, Mathias, 1975- (2004)
      Graphical Markov models use graphs to represent dependencies between stochastic variables. Via Markov properties, missing edges in the graph are translated into conditional independence statements, which, in conjunction ...
    • Modeling Heterogeneity within and between Matrices and Arrays 

      Fosdick, Bailey Kathryn (2013-11-14)
      Datasets in the form of matrices and arrays arise frequently in the social and biological sciences and are characterized by measurements indexed by two or more factors. In this dissertation we address two problems relating ...
    • Monte Carlo estimation of identity by descent in populations 

      Glazner, Chris
      Genetic similarity between organisms arises from segments of shared genome, which are said to be identical by descent (IBD). Modeling IBD in pedigrees forms the basis of classical linkage analysis and has been a fruitful ...
    • Monte Carlo likelihood calculation for identity by descent data 

      Browning, Sharon, 1973- (1999)
      Two individuals are identical by descent at a genetic locus if they share the same gene copy at that locus due to inheritance from a recent common ancestor. Identity by descent can be thought of as a continuous process ...
    • Phylogenetic Stochastic Mapping 

      Irvahn, Jan
      Phylogenetic stochastic mapping is a method for reconstructing the history of trait changes on a phylogenetic tree relating species/organisms carrying the trait. State-of-the-art methods assume that the trait evolves ...
    • Portfolio Optimization with Tail Risk Measures and Non-Normal Returns 

      Zhu, Minfeng (2010-08-20)
      The traditional Markowitz mean-variance portfolio optimization theory uses volatility as the sole measure of risk. However, volatility is flawed both intuitively and theoretically: being symmetric it does not differentiate ...
    • Predictive Modeling of Cholera Outbreaks in Bangladesh 

      Koepke, Amanda Allen
      Despite seasonal cholera outbreaks in Bangladesh, little is known about the relationship between environmental conditions and cholera cases. We seek to develop a predictive model for cholera outbreaks in Bangladesh based ...
    • Probabilistic Population Projection for Countries with Generalized HIV/AIDS Epidemics 

      He, Yanjun
      Population projection has long been an issue for researchers, governments and international organizations so that they can monitor and plan development and resources. The United Nation Population Division (UNPD) publishes ...
    • R-squared inference under non-normal error 

      Xu, Lei
      Assessment of the relationship between diet and health status, especially association between diet and chronic disease risk, has attracted lot of research interest in statistical and epidemiologic studies. However, due to ...
    • R-squared inference under non-normal error 

      Xu, Lei
      Assessment of the relationship between diet and health status, especially association between diet and chronic disease risk, has attracted lot of research interest in statistical and epidemiologic studies. However, due to ...
    • A resampling approach to clustering with confidence 

      Chiam, Yuan (2012-09-13)
      We propose a method for estimating the number of groups in a data set. Our method is an extension of Generalized Single Linkage clustering (GSL) (Stuetzle and Nugent 2010), a nonparametric clustering method based on the ...
    • Robust estimation of factor models in finance 

      Bailer, Heiko Manfred (2005)
      Standard asset-pricing models entail expressions for expected returns in terms of coefficients relative to risk factors. Methods to estimate premiums of risk factors have, at its core, a single or multiple linear regression ...
    • Shape-Constrained Inference for Concave-Transformed Densities and their Modes 

      Doss, Charles R. (2013-11-14)
      We consider inference about functions estimated via shape constraints based on concavity. We consider log-concave densities and other “concave-transformed” densities on the real line, where a concave-transformed class is ...
    • Space-Time Smoothing Models for Surveillance and Complex Survey Data 

      Mercer, Laina D.
      Area and time-specific estimates of disease rates, cause-specific mortality rates and other key health indicators are of great interest for health care and policy purposes. Such estimates provide the information needed to ...
    • Statistical Hurdle Models for Single Cell Gene Expression: Differential Expression and Graphical Modeling 

      McDavid, Andrew
      This dissertation describes a set of statistical methods developed for analysis of single cell gene expression. A characteristic of single cell expression is bimodal expression, in which two clusters of expression are ...