1 | Jakimauskas, Gintautas; Sakalauskas, Leonidas. Implementation of the Poisson-Gaussian regression model in empirical Bayes estimation of small probabilities // Computer data analysis and modeling: theoretical and applied stochastics : proceedings of the XI International conference, Minsk, September 6-10, 2016. Minsk : Publishing center of BSU, 2016. ISBN 9789855533666. p. 21-24. |
2 | Jakimauskas, Gintautas; Sakalauskas, Leonidas. Note on the singularity of the Poisson–gamma model // Statistics and probability letters. Amsterdam : Elsevier. ISSN 0167-7152. 2016, Vol. 114, p. 86-92. DOI: 10.1016/j.spl.2016.03.007. |
3 | Jakimauskas, Gintautas. On the non-singularity issue for the Poisson-gamma model // Jaunųjų mokslininkų darbai. Šiauliai : Šiaulių universitetas. ISSN 1648-8776. 2014, Nr. 1, p. 99-103. Prieiga per internetą: <http://www.su.lt/bylos/mokslo_leidiniai/jmd/2014_1_41/jakimauskas.pdf>. |
4 | Jakimauskas, Gintautas; Sakalauskas, Leonidas. Empirical Bayesian regression model for estimation of small rates = Empirinis Bayeso regresinis modelis mažų tikimybių vertinimui // Lietuvos matematikos rinkinys. Ser. A. Vilnius : Vilniaus universiteto leidykla. ISSN 0132-2818. eISSN 2335-898X. 2012, t. 53, p. 42-47. DOI: 10.15388/LMR.A.2012.08. |
5 | Jakimauskas, Gintautas. Gamma and logit models in empirical bayesian estimation of probabilities of rare events // STOPROG 2012 : Stochastic programming for implementation and advanced applications : proceedings of international workshop, July 3-6, 2012, Lithuania. Vilnius : Technika, 2012. ISBN 9786099524146. p. 43-48. DOI: 10.5200/stoprog.2012.08. |
6 | Jakimauskas, Gintautas; Sakalauskas, Leonidas. Empirical Bayesian estimation for Poisson-gamma model // 24th Mini EURO conference on continuous optimization and information-based technologies in the financial sector (MEC EurOPT 2010). Vilnius : Technika, 2010. ISBN 9789955285984. P. 254-257. Prieiga per internetą: <http://www.vgtu.lt/leidiniai/leidykla/MEC_EurOPT_2010/008/0002.html>. |
7 | Jakimauskas, Gintautas; Sušinskas, Jurgis. Application of the empirical Bayes approach to nonparametric testing for high-dimensional data // Lietuvos matematikos rinkinys. Lietuvos matematikų draugijos darbai. ISSN 0132-2818. 2010, T. 51, p. 402-407. DOI: 10.15388/LMR.2010.73. |
8 | Radavičius, Marijus; Jakimauskas, Gintautas; Sušinskas, Jurgis. Empirical Bayes testing goodness-of-fit for high-dimensional data // Computer data analysis and modeling : complex stochastic data and systems : proceedings of the Ninth international conference, Minsk, September 7-11, 2010. Vol. 1. Minsk : Publishing center BSU, 2010. ISBN 9789854768472. P. 199-202. |
9 | Sakalauskas, Leonidas; Jakimauskas, Gintautas; Sušinskas, Jurgis. Analysis of medical data by empirical bayes method // Computer data analysis and modeling : complex stochastic data and systems : proceedings of the Ninth international conference, Minsk, September 7-11, 2010. Vol. 1. Minsk : Publishing center BSU, 2010. ISBN 9789854768472. P. 203-206. |
10 | Jakimauskas, Gintautas. Efficient algorithm for testing goodness-of-fit for classification of high dimensional data // Lietuvos matematikos rinkinys. Lietuvos matematikų draugijos darbai. ISSN 0132-2818. 2009, T. 50, p. 293-297. Prieiga per internetą: <ftp://ftp.science.mii.lt/pub/Publications/50_TOMAS(2009)/MAT_STATISTIKA/Jakim.pdf>. |
11 | Gurevičius, Romualdas; Jakimauskas, Gintautas; Sakalauskas, Leonidas. Empirical Bayesian estimation of small mortality rates // 5th international Vilnius conference [and] EURO-mini conference "Knowledge-based technologies and OR methodologies for decisions of sustainable development" (KORSD-2009) : September 30 - October 3, 2009, Vilnius, Lithuania. Vilnius : Technika, 2009. ISBN 9789955284826. P. 290-295. Prieiga per internetą: <http://www.vgtu.lt/leidiniai/leidykla/KORSD_2009/Pages/10/290-295.htm>. |
12 | Jakimauskas, Gintautas; Radavičius, Marijus; Sušinskas, Jurgis. A simple method for testing independence of high-dimensional random vectors // Austrian journal of statistics. ISSN 1026-597X. 2008, Vol. 37, no. 1, p. 101-108. Prieiga per internetą: <http://www.stat.tugraz.at/AJS/ausg081/081Radavicius.pdf>. |
13 | Radavičius, Marijus; Jakimauskas, Gintautas. Robust projection pursuit // Computer data analysis and modelling: robustness and computer intensive methods : proceedings of the Seventh international conference, Minsk, September 6-10, 2004. Vol. 1. Minsk : Publishing center BSU, 2004. ISBN 9854454924. P. 114-117. |
14 | Radavičius, Marijus; Jakimauskas, Gintautas; Sušinskas, Jurgis. Testing of independency for high-dimensional data // Computer data analysis and modeling : complex stochastic data and systems : proceedings of the Eighth international conference, Minsk, September 11-15, 2007. Vol. 1. Minsk : Publishing centre BSU, 2007. ISBN 9789854765082. P. 174-177. |
15 | Jakimauskas, Gintautas; Krikštolaitis, Ričardas. Projection pursuit procedure using bootstrap method for Gaussian mixture classification // Computer data analysis and modeling : robustness and computer intensive methods : proceedings of the sixth international conference, Minsk, September 10-14, 2001. Vol. 1. Minsk : Publishing center BSU. 2001, P. 165-170. |
16 | Jakimauskas, Gintautas. Procedure of the removal of the outliers from the sample satisfying the multidimensional Gaussian mixture model = Procedūra išsiskiriančių stebėjimų išskyrimui iš imties, patenkinančios daugiamačio Gauso mišinio modelį // Lietuvos matematikos rinkinys. ISSN 0132-2818. 2002, T. 42, spec, nr, p. 523-528. DOI: 10.15388/LMR.2002.32988. |
17 | Jakimauskas, Gintautas. Influence of the outliers to the classification of multidimensional Gaussian mixtures = Išsiskiriančių stebėjimų įtaka daugiamačių Gauso mišinių klasifikavimui // Lietuvos matematikos rinkinys, T.41, spec. nr.: Lietuvos matematikų draugijos XLII konferencijos mokslo darbai. Vilnius, 2001. ISBN 9986680212. p. 438-443. |