Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Jordanova, P. K."'
Autor:
Jordanova, Pavlina K.
In 2017-2020 Jordanova and co-authors investigate probabilities for p-outside values and determine them in many particular cases. They show that these probabilities are closely related to the concept for heavy tails. Tukey's boxplots are very popular
Externí odkaz:
http://arxiv.org/abs/2410.15383
Autor:
Abduallah, Yasser, Alobaid, Khalid A., Wang, Jason T. L., Wang, Haimin, Jordanova, Vania K., Yurchyshyn, Vasyl, Cavus, Huseyin, Jing, Ju
We propose a novel deep learning framework, named SYMHnet, which employs a graph neural network and a bidirectional long short-term memory network to cooperatively learn patterns from solar wind and interplanetary magnetic field parameters for short-
Externí odkaz:
http://arxiv.org/abs/2402.17196
This work continues the research done in Jordanova and Veleva (2023) where the history of the problem could be found. In order to obtain the structure distribution of the newly-defined Mixed Poisson process, here the operation "max" is replaced with
Externí odkaz:
http://arxiv.org/abs/2312.16595
Autor:
Jordanova, Pavlina K., Veleva, Evelina
This work defines and investigates the properties of the Max-U-Exp distribution. The method of moments is applied in order to estimate its parameters. Then, by using the previous general theory about Mixed Poisson processes, developed by Grandel (199
Externí odkaz:
http://arxiv.org/abs/2307.09798
Stacy distribution defined for the first time in 1961 provides a flexible framework for modelling of a wide range of real-life behaviours. It appears under different names in the scientific literature and contains many useful particular cases. Homoge
Externí odkaz:
http://arxiv.org/abs/2303.10226
Solar energetic particles (SEPs) are an essential source of space radiation, which are hazards for humans in space, spacecraft, and technology in general. In this paper we propose a deep learning method, specifically a bidirectional long short-term m
Externí odkaz:
http://arxiv.org/abs/2203.14393
Autor:
Jordanova, Pavlina K., Veleva, Evelina
The paper investigates a discrete time Binomial risk model with different types of polices and shock events may influence some of the claim sizes. It is shown that this model can be considered as a particular case of the classical compound Binomial m
Externí odkaz:
http://arxiv.org/abs/2106.10007
Autor:
Jordanova, Pavlina K., k, Milan Stehlí
Publikováno v:
20th International Conference - AMiTaNS '20, June 24-29, 2020, Albena, Bulgaria
Ratios of central order statistics seem to be very useful for estimating the tail of the distributions and therefore, quantiles outside the range of the data. In 1995 Isabel Fraga Alves investigated the rate of convergence of three semi-parametric es
Externí odkaz:
http://arxiv.org/abs/2007.14842
Autor:
Jordanova, Pavlina K., Stehlík, Milan
Here we suppose that the observed random variable has cumulative distribution function $F$ with regularly varying tail, i.e. $1-F \in RV_{-\alpha}$, $\alpha > 0$. Using the results about exponential order statistics we investigate logarithms of ratio
Externí odkaz:
http://arxiv.org/abs/1904.07770
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