Zobrazeno 1 - 10
of 1 727
pro vyhledávání: '"Gomtsyan, A."'
Autor:
Gomtsyan, Marina
Time series of counts occurring in various applications are often overdispersed, meaning their variance is much larger than the mean. This paper proposes a novel variable selection approach for processing such data. Our approach consists in modelling
Externí odkaz:
http://arxiv.org/abs/2307.00929
Autor:
Dell’Erba, Marco1 (AUTHOR), Gomtsyan, Suren2 (AUTHOR) s.gomtsyan@lse.ac.uk
Publikováno v:
Journal of Corporate Law Studies. May2024, p1-40. 40p.
In this work, we consider an estimation method in sparse Poisson models inspired by [1] and provide novel sign consistency results under mild conditions.
Externí odkaz:
http://arxiv.org/abs/2303.14020
Autor:
Grigor Tsaturyan, Hovhannes Gomtsyan
Publikováno v:
Journal of Telecommunications and Information Technology, Vol 3, Iss 3 (2024)
IEEE 802.15.4z-compliant ultra-wideband (UWB) devices are becoming ever more popular in contemporary radio engineering systems. Such systems are capable of precisely measuring distances (with their accuracy expressed in centimeters), are immune to in
Externí odkaz:
https://doaj.org/article/8b46bc4dfddf4f7594a0a538d41e0f94
Autor:
Samvel Antonyan, Hovhannes Gomtsyan
Publikováno v:
Journal of Telecommunications and Information Technology, Vol 3, Iss 3 (2024)
This article presents a novel multiprobe planar near-field range (PNFR) measurement system. The said system simplifies the overall mechanical design, making it simpler than the existing scanning probe PNFR measurements, and also significantly reduces
Externí odkaz:
https://doaj.org/article/df30fc4008db4b15a21a0af7f3e95251
We propose a novel and efficient iterative two-stage variable selection approach for multivariate sparse GLARMA models, which can be used for modelling multivariate discrete-valued time series. Our approach consists in iteratively combining two steps
Externí odkaz:
http://arxiv.org/abs/2208.14721
In this paper, we propose a novel and efficient two-stage variable selection approach for sparse GLARMA models, which are pervasive for modeling discrete-valued time series. Our approach consists in iteratively combining the estimation of the autoreg
Externí odkaz:
http://arxiv.org/abs/2208.14168
Autor:
Gomtsyan, David
Publikováno v:
In Review of Economic Dynamics April 2024 52:70-83
Autor:
Birkholz, Carlo, Gomtsyan, David
Publikováno v:
In Journal of Comparative Economics March 2023 51(1):90-104
In this paper, we propose a novel and efficient two-stage variable selection approach for sparse GLARMA models, which are pervasive for modeling discrete-valued time series. Our approach consists in iteratively combining the estimation of the autoreg
Externí odkaz:
http://arxiv.org/abs/2007.08623