Sökning: "Covariance Matrix Estimation"
Visar resultat 11 - 15 av 66 avhandlingar innehållade orden Covariance Matrix Estimation.
11. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis
Sammanfattning : This thesis deals with estimation and classification problems of non-stationary processes in a few special cases.In paper A and paper D we make strong assumptions about the observed signal, where a specific model is assumed and the parameters of the model are estimated. LÄS MER
12. Applications of Bayesian Econometrics to Financial Economics
Sammanfattning : This PhD thesis consists of four separate papers. What these papers have in common is that Bayesian Econometrics, in combination with Markov chain Monte Carlo (MCMC) methods, is applied to study various problems in financial economics. LÄS MER
13. Channel Estimation and Self-Interference Suppression for MIMO Relaying Systems
Sammanfattning : Recently, the introduction of relaying nodes in wireless channels has been identified as a promising technique for providing broader coverage, higher transmission rates, and increased reliability. Moreover, when the concept of relaying systems is combined with that of multiple-input multiple-output (MIMO) technology, thesystem performance can be further improved by exploiting the spatial dimension. LÄS MER
14. A study of multilevel models with block circular symmetric covariance structures
Sammanfattning : This thesis concerns the study of multilevel models with specific patterned covariance structures and addresses the issues of maximum likelihoodestimation. In particular, circular symmetric hierarchical datastructures are considered. LÄS MER
15. Studies in Estimation of Patterned Covariance Matrices
Sammanfattning : Many testing, estimation and confidence interval procedures discussed in the multivariate statistical literature are based on the assumption that the observation vectors are independent and normally distributed. The main reason for this is that often sets of multivariate observations are, at least approximately, normally distributed. LÄS MER