Publisher: Vilnius University   (Total: 38 journals)   [Sort by number of followers]

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Accounting Theory and Practice     Open Access   (Followers: 6)
Acta medica Lituanica     Open Access  
Acta Paedagogica Vilnensia     Open Access  
Archaeologia Lituana     Open Access  
Baltic J. of Political Science     Open Access   (Followers: 1)
Baltistica     Open Access  
Criminological Studies     Open Access   (Followers: 1)
Ekonomika (Economics)     Open Access  
Informacijos mokslai     Open Access  
J.ism Research     Open Access   (Followers: 4)
Jaunujų mokslininkų darbai     Open Access  
Kalbotyra     Open Access  
Knygotyra (Book Science)     Open Access  
Lietuvių kalba     Open Access  
Lietuvos istorijos studijos     Open Access  
Lietuvos Matematikos Rinkinys     Open Access  
Lietuvos Statistikos Darbai     Open Access  
Literatūra     Open Access  
Lithuanian Surgery : Lietuvos Chirurgija     Open Access  
Nonlinear Analysis : Modelling and Control     Open Access   (Followers: 1)
Organizations and Markets in Emerging Economies     Open Access   (Followers: 1)
Politologija     Open Access  
Problemos     Open Access  
Psychology     Open Access  
Religija ir kultūra     Open Access  
Respectus Philologicus     Open Access  
Scandinavistica Vilnensis     Open Access  
Semiotika     Open Access  
Slavistica Vilnensis     Open Access   (Followers: 1)
Socialinė teorija, empirija, politika ir praktika     Open Access  
Socialiniai tyrimai     Open Access  
Sociology : Thought and Action     Open Access  
Taikomoji kalbotyra     Open Access  
Teisė : Law     Open Access  
Verbum     Open Access  
Vertimo studijos (Translation Studies)     Open Access   (Followers: 1)
Vilnius University Open Series     Open Access  
Vilnius University Proceedings     Open Access  
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Lietuvos Matematikos Rinkinys
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 0132-2818 - ISSN (Online) 2335-898X
Published by Vilnius University Homepage  [38 journals]
  • Relations between Spectrum Curves of Discrete Sturm-Liouville Problem with
           Nonlocal Boundary Conditions and Graph Theory. II

    • Authors: Jonas Vitkauskas, Artūras Štikonas
      Pages: 1 - 8
      Abstract: In this paper, relations between discrete Sturm--Liouville problem with nonlocal integral boundary condition characteristics (poles, critical points, spectrum curves) and graphs characteristics (vertices, edges and faces) were found. The previous article was devoted to the Sturm--Liouville problem in the case two-points nonlocal boundary conditions.
      PubDate: 2021-12-15
      DOI: 10.15388/LMR.2021.25128
      Issue No: Vol. 62 (2021)
  • Editorial Board and Table of Contents

    • Authors: Artūras Štikonas
      Pages: 1 - 1
      PubDate: 2021-11-29
      Issue No: Vol. 62 (2021)
  • Supervised linear classification of Gaussian spatio-temporal data

    • Authors: Marta Karaliutė, Kęstutis Dučinskas
      Pages: 9 - 15
      Abstract: In this article we focus on the problem of supervised classifying of the spatio-temporal Gaussian random field observation into one of two classes, specified by different mean parameters. The main distinctive feature of the proposed approach is allowing the class label to depend on spatial location as well as on time moment. It is assumed that the spatio-temporal covariance structure factors into a purely spatial component and a purely temporal component following AR(p) model. In numerical illustrations with simulated data, the influence of the values of spatial and temporal covariance parameters to the derived error rates for several prior probabilities models are studied.
      PubDate: 2021-12-15
      DOI: 10.15388/LMR.2021.25214
      Issue No: Vol. 62 (2021)
  • Logical derivation search with assumption traceability

    • Authors: Adomas Birštunas, Elena Reivytytė
      Pages: 16 - 22
      Abstract: In this paper authors research the problem of traceability of assumptions in logical derivation. The essence of this task is to trace which assumptions from the available knowledge base of assumptions are necessary to derive a certain conclusion. The paper presents a new derivation procedure for propositional logic, which ensures traceability feature. For the derivable conclusion formula derivation procedure also returns the smallest set of assumptions those are enough to get derivation of the conclusion formula. Verification of the procedure were performed using authors implementation.
      PubDate: 2021-12-15
      DOI: 10.15388/LMR.2021.25215
      Issue No: Vol. 62 (2021)
  • Weak approximations of Wright-Fisher equation

    • Authors: Gabrielė Mongirdaitė, Vigirdas Mackevičius
      Pages: 23 - 26
      Abstract: We construct weak approximations of the Wright-Fisher model and illustrate their accuracy by simulation examples.
      PubDate: 2021-12-15
      DOI: 10.15388/LMR.2021.25217
      Issue No: Vol. 62 (2021)
  • COVID-19 reproduction number and non-pharmaceutical interventions in

    • Authors: Ramunė Vaišnorė, Audronė Jakaitienė
      Pages: 27 - 37
      Abstract: Currently the world is threatened by a global COVID-19 pandemic and it has induced crisis creating a lot of disruptions in the healthcare system, social life and economy. In this article we present the analysis of COVID-19 situation in Lithuania and it's municipalities taking into consideration the effect of non-pharmaceutical interventions on the reproduction number. We have analysed the period from 20/03/2020 to 20/06/2021 co\-vering two quarantines applied in Lithuania. We calculated the reproduction number using the incidence data provided by State Data Governance Information System, while the information for applied non-pharmaceutical interventions was extracted from Oxford COVID-19 Government Response Tracker and the COVID-19 website of Government of the Republic of Lithuania. The positive effect of applied non-pharmaceutical interventions on reproduction number was observed when internal movement ban was applied in 16/12/2020 during the second quarantine in Lithuania.
      PubDate: 2021-12-15
      DOI: 10.15388/LMR.2021.25218
      Issue No: Vol. 62 (2021)
  • Application of spatial auto-beta models in statistical classification

    • Authors: Eglė Zikarienė, Kęstutis Dučinskas
      Pages: 36 - 43
      Abstract: In this paper, spatial data specified by auto-beta models is analysed by considering a supervised classification problem of classifying feature observation into one of two populations. Two classification rules based on conditional Bayes discriminant function (BDF) and linear discriminant function (LDF) are proposed. These classification rules are critically compared by the values of the actual error rates through the simulation study.
      PubDate: 2021-12-15
      DOI: 10.15388/LMR.2021.25219
      Issue No: Vol. 62 (2021)
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Heriot-Watt University
Edinburgh, EH14 4AS, UK
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