Sökning: "covariance analysis"
Visar resultat 6 - 10 av 118 avhandlingar innehållade orden covariance analysis.
6. Discrete Stochastic Time-Frequency Analysis and Cepstrum Estimation
Sammanfattning : The theory of stochastic time-frequency analysis of non-stationary random processes has mostly been developed for processes in continuous time. In practice however, random processes are observed, processed, and interpreted at a finite set of time points. LÄS MER
7. Construction of Representations of Commutation Relations by Linear Operators in Banach Spaces
Sammanfattning : This thesis is devoted to the construction and investigation of some properties of pairs of linear operators (A, B) (representations) satisfying commutation relations AB=BF(A), where F denotes certain polynomial. Commutation relations of this kind are called "covariance type" and finding their representations is equivalent to solving operator equations. LÄS MER
8. A weak space-time formulation for the linear stochastic heat equation
Sammanfattning : The topic covered in this thesis is the introduction of a new formulation for the linear stochastic heat equation driven by additive noise, based on the space-time variational formulation for its deterministic counterpart. Having a variational formulation allows the use of the so called inf-sup theory in order to obtain results of existence and uniqueness in a relatively simple way. LÄS MER
9. Numerical Approximation of Solutions to Stochastic Partial Differential Equations and Their Moments
Sammanfattning : The first part of this thesis focusses on the numerical approximation of the first two moments of solutions to parabolic stochastic partial differential equations (SPDEs) with additive or multiplicative noise. More precisely, in Paper I an earlier result (A. Lang, S. Larsson, and Ch. LÄS MER
10. Statistically Guided Visualization and Exploratory Analysis of Omics Data
Sammanfattning : This thesis deals with methods for extracting robust and relevant information from high-dimensional data sets, and statistically guided visualization methods for representing the data in an informative and easily accessible way. High-dimensional data sets are becoming increasingly prevalent in many different scientific disciplines. LÄS MER