Browsing Mathematics and Statistics, Department of by Title
Now showing items 99-118 of 174
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Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables
Computer experiments are utilized as a popular tool of studying the relationship between responses and the factors that affect them. They are widely used in scientific researches and applications. Dynamic computer experiments ... -
Modelling Pathogen Evolution with Branching Processes
(2010-07-28)Pathogen evolution poses a significant challenge to public health, as efforts to control the spread of infectious diseases struggle to keep up with a shifting target. To better understand this adaptive process, we turn ... -
Moduli Spaces of K3 Surfaces with Large Picard Number
(2011-08-15)Morrison has constructed a geometric relationship between K3 surfaces with large Picard number and abelian surfaces. In particular, this establishes that the period spaces of certain families of lattice polarized K3 surfaces ... -
Moduli spaces of vector bundles on toric surfaces
The moduli spaces parametrizing isomorphism classes of vector bundles are poorly understood. For certain choices of the first Chern class and a suitable second Chern class, we show that there exists an ample line bundle ... -
Multitaper Higher-Order Spectral Analysis of Nonlinear Multivariate Random Processes
(2008-11-04)In this work, I will describe a new statistical tool: the canonical bicoherence, which is a combination of the canonical coherence and the bicoherence. I will provide its definitions, properties, estimation by multitaper ... -
Multitaper Methods for Cyclostationary Feature Detection in Time Series Data: Application to ACE Interplanetary Magnetic Field Data
In this thesis, a deeper understanding of the theory of cyclostationary processes is sought. Conventional spectrum estimation techniques assume that the data is a realization of a stationary process. If the data is ... -
Multitaper Methods for Time-Frequency Spectrum Estimation and Unaliasing of Harmonic Frequencies
(2009-02-05)This thesis is concerned with various aspects of stationary and nonstationary time series analysis. In the nonstationary case, we study estimation of the Wold-Cram'er evolutionary spectrum, which is a time-dependent ... -
Multitaper Statistical Tests for the Detection of Frequency-Modulated Signals
Detection of periodic signals in noise is an important problem in many scientific fields and there exist tools in the multitaper spectrum estimation and harmonic analysis framework for doing so, for example, the Harmonic ... -
Networked Control Systems with Unbounded Noise under Information Constraints
(2012-12-06)We investigate the stabilization of unstable multidimensional partially observed single-station, multi-sensor (single-controller) and multi-controller (single-sensor) linear systems controlled over discrete noiseless ... -
A New Approach in Survival Analysis with Longitudinal Covariates
(2010-04-27)In this study we look at the problem of analysing survival data in the presence of longitudinally collected covariates. New methodology for analysing such data has been developed through the use of hidden Markov modeling. ... -
Non-commutative Independences for Pairs of Faces
In non-commutative probability theories, many different notions of independence arise in various contexts. According to the early classification work, there are only five such notions that are universal/natural in the sense ... -
Nonholonomic mechanics and locomotion: the snakeboard example
(IEEE, 1994)Analysis and simulations are performed for a simplified model of a commercially available variant on the skateboard, known as the Snakeboard.1 Although the model exhibits basic gait patterns seen in a large number of ... -
Nonparametric and Parametric Methods for Solar Oscillation Spectra
(2014-09-27)The study of the systematic oscillations of the Sun has led to better understanding of the Sun’s inner structure and dynamics, and may help to resolve inconsistencies between observations and the standard solar model. ... -
Nonparametric statistical procedures for therapeutic clinical trials with survival endpoints
(2007-08-02)This thesis proposed two nonparametric statistical tests, based on the Kolmogorov-Smirnov distance and L2 mallows disatnce. To implement the proposed tests, nonparametric bootstrap method is employed to approximate the ... -
Nonparametric Testing Methods for Treatment-Biomarker Interaction based on Local Partial-Likelihood
(Wiley, 2015-06-17)In clinical trials, patients with different biomarker features may respond differently to the new treatments or drugs. In personalized medicine, it is important to study the interaction between treatment and biomarkers in ... -
Normal Order of Certain Arithmetic Functions and New Analogues of the Erd\H{o}s-Kac Theorem
In 1917, Hardy and Ramanujan planted the seeds of Probabilistic Number Theory when they defined `normal order' of an arithmetic function. This was nurtured further by Erd\H{o}s and Kac and many other great minds who infused ... -
On Malliavin Calculus and Concentration Inequalities
(2014-07-07)We prove new abstract results concerning concentration inequalities and density estimates for Malliavin differentiable random variables. The efficacy of these results are demonstrated by practical computations, such as the ... -
On Optimal Codes for Additive Noise Channels
One of the fundamental goals of coding theory is to find optimal codes, in terms of achieving the largest probability of correct decoding. Most of the foundational works on optimal codes use three assumptions. First, ... -
On Renyi Divergence Measures for Continuous Alphabet Sources
(2011-08-30)The idea of `probabilistic distances' (also called divergences), which in some sense assess how `close' two probability distributions are from one another, has been widely employed in probability, statistics, information ... -
On the Convergence and Applications of Mean Shift Type Algorithms
(2013-10-01)Mean shift (MS) and subspace constrained mean shift (SCMS) algorithms are non-parametric, iterative methods to find a representation of a high dimensional data set on a principal curve or surface embedded in a high ...