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Thesis topic proposal
 
István Fazekas
Asymptotic properties of stochastic systems

THESIS TOPIC PROPOSAL

Institute: University of Debrecen
computer sciences
Doctoral School of Informatics

Thesis supervisor: István Fazekas
Location of studies (in Hungarian): Debreceni Egyetem Informatikai Kar
Abbreviation of location of studies: DE IK


Description of the research topic:

Observations depending on space and/or time. Spatial and temporal statistical models. Parametric and nonparametric estimations. Asymptotic results for the estimators. Numerical realization of the estimators and their study by computer simulation.


Bibliography
Bosq, D.: Nonparametric Statistics for Stochastic Processes. Springer, New York - Berlin – Heidelberg, 1998.
Cressie, N. A. C.:Statistics for Spatial Data. Wiley, New York, 1993.
DasGupta, Anirban: Asymptotic Theory of Statistics and Probability. Springer Texts in Statistics, 2008.
Fazekas, I.; Kukush, A. G.: Infill asymptotics inside increasing domains for the least squares estimator in linear models. Stat. Inf. Stoch. Proc. 3 (2000), 199-223.
A. W. van der Vaart: Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics) 2000.

Recommended language skills (in Hungarian): angol
Number of students who can be accepted: 1

Deadline for application: 2019-01-15


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
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