Browsing by Subject "Statistics"
Now showing items 120 of 130

A Bayesian hierarchical model for detecting associations between haplotypes and disease using unphased SNPs
(2008)This thesis addresses using haplotypes to detect disease predisposing chromosomal regions based on a Bayesian hierarchical model for casecontrol data. By utilizing the Stochastic Search Variable Selection (SSVS) procedure ... 
A comparison of three methods used to determine functionally important protein residues
(2003)A new method for determining functionally important protein residues is analyzed and compared with two previously existing methods. This thesis presents the analysis of several different protein sequences and shows how the ... 
A comprehensive approach to spatial and spatiotemporal dependence modeling
(2000)One of the most difficult tasks of modeling spatial and spatiotemporal random fields is that of deriving an accurate representation of the dependence structure. In practice, the researcher is faced with selecting the best ... 
A dynamic model for survival data with longitudinal covariates
(2006)Analyses involving both longitudinal and timetoevent data are quite common in medical research. The primary goal of such studies may be to simultaneously study the effect of treatment on both the longitudinal covariate ... 
A geometry for detection theory
(1993)The optimal detector for a binary detection problem under a variety of criteria is the likelihood ratio test. Despite this simple characterization of the detector, analytic performance analysis in most cases is difficult ... 
A hierarchical waveletbased framework for pattern analysis and synthesis
(2000)Despite their success in other areas of statistical signal processing, current waveletbased image models are inadequate for modeling patterns in images, due to the presence of unknown transformations inherent in most ... 
A microsatellitebased statistic for inferring patterns of population growth: Sampling properties and hypothesis testing
(2000)DNA sequences sampled from a genetic locus within a population are related by a genealogy. If there is no recombination within the locus, each pair of sequences is descended from some ancestral sequence, one of which is ... 
A new method for robust nonparametric regression
(1990)Consider the problem of estimating the mean function underlying a set of noisy data. Least squares is appropriate if the error distribution of the noise is Gaussian, and if there is good reason to believe that the underlying ... 
A nonparametric regression algorithm for time series forecasting applied to daily maximum urban ozone concentrations
(1989)Using techniques of nonparametric regression, we develop a nonparametric approach in the context of kernel estimation to realize shortterm forecastings of time series. This procedure is applied to an OZONE ($O\sb3)$ daily ... 
A stochastic approach to prepayment modeling
(1996)A new type of prepayment model for use in the valuation of mortgagebacked securities is presented. The model is based on a simple axiomatic characterization of the prepayment decision by the individual in terms of a ... 
A STUDY OF PROJECTION PURSUIT METHODS (MULTIVARIATE STATISTICS, DIMENSION REDUCTION, DENSITY ESTIMATION, GRAPHICS, ENTROPY)
(1985)A standard method for analyzing high dimensional multivariate data is to view scatterplots of 2dimensional projections of the data. Since all projections are not equally informative and the number of significantly different ... 
A test of mode existence with applications to multimodality
(1993)Modes, or local maxima, are often among the most interesting features of a probability density function. Given a set of data drawn from an unknown density, it is frequently desirable to know whether or not the density is ... 
A time series approach to quality control
(1991)One way that a process may be said to be "outofcontrol" is when a cyclical pattern exists in the observations over time. It is necessary that an accurate control chart be developed to signal when a cycle is present in ... 
Active learning and adaptive sampling for nonparametric inference
(2008)This thesis presents a general discussion of active learning and adaptive sampling. In many practical scenarios it is possible to use information gleaned from previous observations to focus the sampling process, in the ... 
Adaptive kernel density estimation
(1994)The need for improvements over the fixed kernel density estimator in certain situations has been discussed extensively in the literature, particularly in the application of density estimation to mode hunting. Problem ... 
An approach to modeling a multivariate spatialtemporal process
(2000)Although modeling of spatialtemporal stochastic processes is a growing area of research, one underdeveloped area in this field is the multivariate spacetime setting. The motivation for this research originates from air ... 
An automatic algorithm for the estimation of mode location and numerosity in general multidimensional data
(1995)Exploratory data analysis in four or more dimensions present many challenges that are unknown in lower dimensionalities. The emptiness of high dimensional space makes merely locating the regions in which data is concentrated ... 
An empirical evaluation of dependence analysis in parallel program comprehension
(1995)This research contributes two advances to the field of empirical study of parallel programming: first, the introduction of the Xbrowser system, a unique generalpurpose hypertext/hypermedia system combining highqualify ...