VU Duomenų mokslo ir skaitmeninių technologijų instituto / Matematikos ir informatikos instituto autoriaus (-ių) 'Andrius Čiginas' publikacijų sąrašas (pagal Lietuvos akademinių bibliotekų tinklo (LABT) publikacijų bazes VUB [nuo 2011 m. iki dabar] ir LMAVB [iki 2010 m. imtinai]):
Publications of 'Andrius Čiginas', VU Institute of Data Science and Digital Technologies / Institute of Mathematics and Informatics (based on 1. Lithuanian Academic Library Network (LABT) database of Vilnius University Library [since 2011 until now] and 2. LABT database of Wroblewski Library of the Lithuanian Academy of Sciences [until 2010]):
Eil. Nr. Publikacija
1Vitkauskaitė, Akvilė; Čiginas, Andrius. Integrating social media and administrative data for the real-time prediction of the consumer confidence indicator // 11th European conference on quality in official statistics (Q2024), Estoril, Portugal, [4-7 June 2024] : abstracts. Estoril. 2024, p. 63. Prieiga per internetą: <https://drive.google.com/file/d/1Blxlb80Vth4ono1gdgY289t4_FMxB-J9/view>.
2Vitkauskaitė, Akvilė; Čiginas, Andrius. Evaluation of consumer confidence indicators using social media and administrative data // DAMSS: 14th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 30 - December 2, 2023. Vilnius : Vilniaus universiteto leidykla, 2023. eISBN 9786090709856. p. 97-98. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 39). DOI: 10.15388/DAMSS.14.2023.
3Burakauskaitė, Ieva; Čiginas, Andrius. On using a non-probability sample for the estimation of population parameters = Savanoriškosios imties panaudojimas populiacijos parametrams vertinti // Lietuvos matematikos rinkinys. Lietuvos matematikų draugijos darbai. Ser. B. Vilnius : Vilniaus universiteto leidykla. ISSN 0132-2818. eISSN 2335-898X. 2023, t. 64, p. 1-11. DOI: 10.15388/LMR.2003.33587.
4Burakauskaitė, Ieva; Čiginas, Andrius. An approach to integrating a non-probability sample in the population census // Mathematics. Basel : MDPI. eISSN 2227-7390. 2023, vol. 11, iss. 8, art. no. 1782, p. [1-14]. DOI: 10.3390/math11081782.
5Čiginas, Andrius. Design-based composite estimation rediscovered // Stat. Hoboken : Wiley. ISSN 2049-1573. 2023, vol. 12, iss. 1, art. no. e579, p. [1-8]. DOI: 10.1002/sta4.579.
6Čiginas, Andrius. Design-based composite estimation of small proportions in small domains // Nonlinear analysis: modelling and control. Vilnius : Vilniaus universiteto leidykla. ISSN 1392-5113. eISSN 2335-8963. 2023, vol. 28, no. 4, p. 720-734. DOI: 10.15388/namc.2023.28.32197.
7Čiginas, Andrius. Design-based composite estimation rediscovered // Proceedings 63rd ISI World Statistics Congress, 11 - 16 July 2021, virtual. 2021, art. no P. 001132, p. 1-4. Prieiga per internetą: <https://www.isi-web.org/files/docs/papers-and-abstracts/239-day5-cps022-design-based-composite-estimat.pdf>.
8Pumputis, Dalius; Čiginas, Andrius. Remembering Gunnar Kulldorff (1927–2015) = Prisimenant Gunnarą Kulldorffą (1927–2015) // Lietuvos statistikos darbai. Vilnius : Vilniaus universiteto leidykla. ISSN 1392-642X. eISSN 2029-7262. 2021, t. 60, Nr. 1, p. 41-43. DOI: 10.15388/LJS.2021.26446.
9Pumputis, Dalius (sudarytojas); Čiginas, Andrius (sudarytojas). Summer school on survey statistics 2021: BNU network on survey statistics = Tyrimų statistikos vasaros mokykla 2021. Vilnius : Lietuvos statistikos departamentas, 2021. 111 p. ISBN 9789955797340. Prieiga per internetą: <https://wiki.helsinki.fi/display/BNU/Summer+School+on+Survey+Statistics+2021+Scientific+Programme?preview=/378218726/390778399/Summer%20school%20proceedings%202021_6v.pdf>.
10Čiginas, Andrius. Seppo Laaksonen (2018) Survey methodology and missing data, Springer // The survey statistician. The Hague : International Association of Survey Statisticians. ISSN 2521-991X. 2020, vol. 82, no. 2, p. 40-41. Prieiga per internetą: <http://isi-iass.org/home/wp-content/uploads/Survey_Statistician_2020_July_N82_04.pdf>.
11Bielskis, Karolis; Čiginas, Andrius. Household wealth and finances. Results for households in Lithuania for 2017 // Discussion paper series. Vilnius : Lietuvos bankas. eISSN 2345-0835. 2020, Nr. 19, p. [1-35]. Prieiga per internetą: <https://www.lb.lt/en/media/force_download/?url=/uploads/publications/docs/25627_2f5cb5ff411be4fe345514ea4982dbe4.pdf>.
12Černiauskas, Nerijus; Čiginas, Andrius. Measurement and decomposition of Lithuania’s income inequality // Discussion paper series. Vilnius : Lietuvos bankas. eISSN 2345-0835. 2019, no. 14, p. [1-33]. Prieiga per internetą: <https://www.lb.lt/en/media/force_download/?url=/uploads/publications/docs/22983_d5f9235730a54ddfd43af64d137b27f7.pdf>.
13Černiauskas, Nerijus; Čiginas, Andrius. Measurement and decomposition of Lithuania's income inequality // Baltic journal of economics. Abingdon : Routledge Taylor & Francis Group. ISSN 1406-099X. eISSN 2334-4385. 2020, vol. 20, no. 2, p. 139-169. DOI: 10.1080/1406099X.2020.1780693.
14Čiginas, Andrius. Adaptive composite estimation in small domains // Nonlinear analysis: modelling and control. Vilnius : Vilniaus universiteto leidykla. ISSN 1392-5113. eISSN 2335-8963. 2020, vol. 25, no. 3, p. 341-357. DOI: 10.15388/namc.2020.25.16773.
15Čiginas, Andrius. Linking of sample data to small areas // Statistica Neerlandica. Hoboken : Wiley. ISSN 0039-0402. eISSN 1467-9574. 2020, vol. 74, iss. 2, p. 145-158. DOI: 10.1111/stan.12199.
16Čiginas, Andrius; Pumputis, Dalius. Calibrated nonparametric bootstrap approximations of finite population L-statistics // 12th International Vilnius conference on probability theory and mathematical statistics and 2018 IMS annual meeting on probability and statistics, July 2–6, 2018, Vilnius, Lithuania : abstracts. Vilnius : Vilnius University. 2018, p. 321.
17Čiginas, Andrius; Pumputis, Dalius. Calibrated bootstrap and saddlepoint approximations of finite population L-statistics // Lithuanian mathematical journal. New York : Springer. ISSN 0363-1672. eISSN 1573-8825. 2019, vol. 59, iss. 3, p. 305-316. DOI: 10.1007/s10986-019-09446-9.
18Čiginas, Andrius; Pumputis, Dalius. Calibrated Edgeworth expansions of finite population L-statistics // Mathematical population studies : Taylor & Francis. ISSN 0889-8480. eISSN 1547-724X. 2020, vol. 27, iss. 2, p. 59-80. DOI: 10.1080/08898480.2018.1553408.
19Čiginas, Andrius; Pumputis, Dalius. Gini’s mean difference and variance as measures of finite populations scales // Lithuanian mathematical journal. New York : Springer. ISSN 0363-1672. eISSN 1573-8825. 2015, Vol. 55, no 3, p. 312-330. DOI: 10.1007/s10986-015-9283-y.
20Čiginas, Andrius; Pumputis, Dalius. A note on the upper bound to variance of the sample extreme from a finite population // Communications in statistics : theory and methods. Philadelphia : Taylor & Francis INC. ISSN 0361-0926. 2014, Vol. 43, iss. 8, p. 1793-1799. DOI: 10.1080/03610926.2012.675216.
21Čiginas, Andrius. On the asymptotic normality of finite population L-statistics // Statistical papers. Heidelberg : Springer. ISSN 0932-5026. 2014, vol. 55, no 4, p. 1047-1058. DOI: 10.1007/s00362-013-0553-7.
22Čiginas, Andrius. Second-order approximations of finite population L-statistics // Statistics. Abingdon : Taylor & Francis. ISSN 0233-1888. 2013, vol. 47, no. 5, p. 954-965. DOI: 10.1080/02331888.2012.658398.
23Pumputis, Dalius; Čiginas, Andrius. Estimation of parameters of finite population L-statistics // Nonlinear analysis: modelling and control. Vilnius : Vilniaus universiteto leidykla. ISSN 1392-5113. eISSN 2335-8963. 2013, vol. 18, no. 3, p. 327-343. DOI: 10.15388/NA.18.3.14013.
24Čiginas, Andrius. The consistency of bootstrap and jackknife variance estimators for finite population L-statistics = Baigtinių populiacijų L-statistikų savirankos ir visrakčio dispersijos įvertinių pagrįstumas // Lietuvos matematikos rinkinys. Ser. A. Vilnius : Vilniaus universiteto leidykla. ISSN 0132-2818. eISSN 2335-898X. 2012, t. 53, p. 19-23. DOI: 10.15388/LMR.A.2012.04.
25Čiginas, Andrius. Confidence intervals in official statistics: the case of Lithuania // Lietuvos statistikos darbai. Vilnius : Vilniaus universiteto leidykla. ISSN 1392-642X. eISSN 2029-7262. 2012, t. 51, Nr. 1, p. 17-21. DOI: 10.15388/LJS.2012.13902.