Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki.
Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki.
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the share of work in the different doctoral schools.
Probability theory. Laws of large numbers, limit theorems, discrete models. Statistical estimations and tests. Regression models. Nonparametric estimators. Modeling networks.
research field in which current research is conducted
mathematics and computing
Publications
2022
from data base, 2023. I. 05.
Chuprunov Alexey Nikolaevich, Fazekas Istvan: On the Numbers of Particles in Cells in an Allocation Scheme Having an Even Number of Particles in Each Cell, MATHEMATICS 10: (7) 1099 type of document: Journal paper/Article language: English URL
2021
from data base, 2023. I. 05.
Fazekas Istvan, Barta Attila, Noszaly Csaba, Porvazsnyik Bettina: A continuous-time network evolution model describing 3-interactions, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS type of document: Journal paper/Article language: English URL
2021
from data base, 2023. I. 05.
Fazekas István, Barta Attila: A Continuous-Time Network Evolution Model Describing 2- and 3-Interactions, MATHEMATICS 9: (23) 3143 type of document: Journal paper/Article language: English URL
2020
from data base, 2023. I. 05.
Fazekas Istvan, Pecsora Sandor: On the spectrum of noisy blown-up matrices, SPECIAL MATRICES 8: (1) pp. 104-122. type of document: Journal paper/Article language: English URL
2019
from data base, 2023. I. 05.
Noszály Csaba, Perecsényi Attila, Fazekas István: The N -star network evolution model, JOURNAL OF APPLIED PROBABILITY 56: (2) pp. 416-440. type of document: Journal paper/Article language: English URL
2007
from data base, 2023. I. 05.
Fazekas I, Chuprunov A: An almost sure functional limit theorem for the domain of geometric partial attraction of semistable laws, JOURNAL OF THEORETICAL PROBABILITY 20: (2) pp. 339-353. type of document: Journal paper/Article number of independent citations: 3 language: English URL
2006
from data base, 2023. I. 05.
Fazekas I, Chuprunov A: Asymptotic normality of kernel type density estimators for random fields, STATISTICAL INFERENCE FOR STOCHASTIC PROCESSES 9: (2) pp. 161-178. type of document: Journal paper/Article number of independent citations: 3 language: English URL
2003
from data base, 2023. I. 05.
Fazekas I, Rychlik Z: Almost sure central limit theorems for random fields, MATHEMATISCHE NACHRICHTEN 259: pp. 12-18. type of document: Journal paper/Article number of independent citations: 16 language: English URL
2003
from data base, 2023. I. 05.
Fazekas I: Limit theorems for the empirical distribution function in the spatial case, STATISTICS & PROBABILITY LETTERS 62: (3) pp. 251-262. type of document: Journal paper/Article number of independent citations: 5 language: English URL
2000
from data base, 2023. I. 05.
Fazekas I, Klesov O: A general approach to the strong law of large numbers, THEORY OF PROBABILITY AND ITS APPLICATIONS 45: (3) pp. 436-449. type of document: Journal paper/Article number of independent citations: 70 language: English URL
Number of independent citations to these publications:
number of independent citations to scientific publications and creative works:
The number of citations displayed after clicking on the link may differ from the displayed number because the former displays the current state of MTMT2 and the latter was the case when importing science metrics.
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