Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 11 of 11 for “"Probability Theory and Statistics"”.
-
Markov Chains Derived From Lagrangian Mechanical Systems
The theory of Markov chains with countable state spaces is a greatly developed and successful area of probability theory and statistics. There is much interest in continuing to develop the theory of Markov chains beyond countable state spaces. One needs good and well motivated model systems in this …
-
Self-organising transparent learning system
… This thesis is focused on both the unsupervised and supervised self-organising transparent machine learning techniques. One particularly interesting aspect is the transparent self-organising deep learning systems. Traditional data analysis approaches and most of the machine learning algorithms …
-
Topics in linear spectral statistics of random matrices
The behavior of the spectrum of a large random matrix is a topic of great interest in probability theory and statistics. At a global level, the limiting spectra of certain random matrix models have been known for some time. For example, the limiting spectral measure of a Wigner matrix is a …
-
GTM: the generative topographic mapping
… continuous, intrinsically low-dimensional probability distributions, embedded in high-dimensional spaces. It can be seen as a non-linear form of principal component analysis or factor analysis. It also provides a principled alternative to the self-organizing map --- a widely established …
-
Spatial statistical-physical systems
… as a branch of modern physics, uses methods of probability theory and statistics to solve physical problems with large populations and approximations. In this thesis, we use numerical simulations to study two statistical physical models — Ising model under topological constraints and particle …
-
Mažųjų skaičių dėsnis: L. Bortkievičiaus duomenų analizė /
Although probability theory and statistics are some of the most challenging areas of mathematical science, their methods make it possible to work as efficiently as possible with all kinds of data, which are abundant, starting from their processing to their presentation. Different laws and …
-
Probabilistic Modelling of Replication Fidelity in Eukaryotic Genomes
… replication in order to maintain genetic and genomic integrity. The constraints governing DNA replication biology is of fundamental importance to understand the degree of replication error and strategies employed by organisms to tackle the threats to replication fidelity from such errors. …
-
Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks
… different approaches for mobile movement(polar and Cartesian)were used, combined with two different models for the received signal strength. The results of the simulation study showed better performance for particle filters based on a power model with varying propagation coefficient. The filters …
-
Regression Analysis of Censored Data with Applications in Perimetry
… Using the independence between the true values and the censoring limits the quantile function for the true values can be rewritten as another quantile function of the observed, censored values, where the quantile value itself is a function of the censoring distribution. The quantile value is …
-
Models and Methods for Random Fields in Spatial Statistics with Computational Efficiency from Markov Properties
… focus of this work is on the development of new random field models and methods suitable for the analysis of large environmental data sets. A large part is devoted to a number of extensions to the newly proposed Stochastic Partial Differential Equation (SPDE) approach for representing Gaussian …
-
Sparse Modeling of Grouped Line Spectra
… system, containing an overcomplete basis of candidate frequencies, called a dictionary, and a large set of linear response variables that selects and weights the components in the dictionary. Frequency estimates are obtained by solving a convex optimization program, where the sum of squared …