National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
EM algorithm for truncated Gaussian mixtures
Nguyenová, Adéla ; Dvořák, Jiří (advisor) ; Nagy, Stanislav (referee)
The expectation-maximization iterative algorithm is widely used in parameter estimation when dealing with missing information. Such a situation can naturally arise when we observe the data of our interest on a bounded observation window. This thesis focuses on the application of the EM algorithm for truncated Gaussian mixtures and compares the proposed algorithm with the approach in a previously published article, see Lee and Scott [2012], where it uses a heuristic simplification and is not sufficiently supported mathematically. We also compare the behavior of the proposed algorithm with the procedure from the article in a series of simulated experiments, as well as in analyzing a real dataset. We also provide Python implementation of the EM algorithm for truncated Gaussian mixtures.
Projections of space-time point processes
Nguyenová, Adéla ; Dvořák, Jiří (advisor) ; Pawlas, Zbyněk (referee)
The main topic of this bachelor's thesis is the theory of spatio-temporal point processes, focusing primarily on the derivation of the second-order moment characteristics of processes obtained through projection of the spatio-temporal process into its space, respectively its time domain. Emphasis is placed on the pair correlation function. The moment characteristics of the Thomas spatio-temporal point process model are derived. Finally the theory is complemented by simulations of its realizations and realizations of its projections into the space domain, together with estimates of the pair correlation function.

See also: similar author names
1 NGUYENOVÁ, Aneta
1 Nguyenová, Anh
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