Workshop on Survey Statistics 2022 Speakers

Last modified by Maria Valaste on 2024/04/16 14:22

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Speakers

Keynote Speakers (confirmed)

Jean-François Beaumont (Statistics Canada)

Making inferences from non-probability samples through data integration (two lectures)

María del Mar Rueda (University of Granada)

Non-probability surveys: a revision of methods for inferenceTartu2022.pdf (lecture)
Speaker: Ramón Ferri-García (University of Granada)

Estimating in non-probability surveys with R (PC lab)
Instructor: Luis Castro-Martín (Andalusian School of Public Health)

Carl-Erik Särndal (Sweden)

Progress in survey science, yesterday, today, tomorrow (lecture)
Tribute to close associates no longer with us: Jean-Claude Deville, Jan Wretman

Li-Chun Zhang (University of Southampton; Statistics Norway; University of Oslo)

Introduction to the book "Graph Sampling"
Transforming population statistics: From census to fractional counting (two lectures)

Special Invited Papers

B. Cobo (University of Granada), M. Rueda (University of Granada), S. Pasadas (Institute for Advanced Social Studies), L. Castro (Andalusian School of Public Health), R. Ferri (University of Granada):

Estimation methods for integrating probability and non-probability survey samples

Luis Castro-Martín (Andalusian School of Public Health), María del Mar Rueda (University of Granada), Carmen Sánchez-Cantalejo (Andalusian School of Public Health), Ramón Ferri-García (University of Granada), Jorge Hidalgo Calderón (University of Granada), Andrés Cabrera (Andalusian School of Public Health):

Reweighting with machine learning techniques in panel surveys. Application to the Health Care and Social Survey

Country-specific Invited Speakers

As in previous events, the scientific program includes speakers invited from the BNU network countries. The invited speaker is expected to give a 45-minute lecture on a topic related to the main themes of the workshop.

Estonia
Helle Visk (Statistics Estonia): Households and dwellings for register-based census: a graph-based approach

Finland
Henri Luomaranta (Statistics Finland): Nowcasting with STS surveys: the Machine Learning approach (abstract) and paper

Latvia
Baiba Zukula (Central Statistical Bureau of Latvia) and and Jānis Jukāms (Central Statistical Bureau of Latvia):
The Population Census 2021 in Latvia

Lithuania
Andrius Čiginas (Statistics Lithuania; Vilnius University): On design-based small area estimation

Ukraine
Oleksandr Gladun (National Academy of Sciences of Ukraine): Censuses in Ukraine: past and perspective

Poland

Jacek Białek (University of Lodz): PriceIndicesScanner data – advantages, challenges, and their processing in the package

Round table discussion

Risto Lehtonen: Model-Assisted Estimation and Calibration Methods in Survey and Official Statistics Yesterday, Today and in the Future - Round Table discussion

Approved contributed papers

Evija Dundure and Biruta Sloka	ORGANISATION OF SURVEY ON FINANCIAL LITERACY ASPECTS RELATED TO VOLUNTARY PENSION SAVINGS AND CHALLENGES IN THE REALISATION OF THE SURVEY
Krista Lagus & Maria Valaste	QUALITATIVE SURVEY DATA
Vilma Nekrašaitė-Liegė, Andrius Čiginas, Danutė Krapavickaitė	Usage of non-probability sample and scraped data to estimate proportions
Risto Lehtonen, Ari Veijanen	Model calibration and MRP methods for small area estimation: an empirical comparison
K. Laine, M. Litova and T. Oikarinen	Crowdsourcing social wellbeing non-probability survey
Kristi Lehto, Imbi Traat	Mixed-mode Census survey in Estonia
Donatas Šlevinskas	StatVillage homework
Ieva Burakauskaitė, Andrius Čiginas	Non-probability sample integration in the survey of Lithuanian census
Ovidijus Baškauskas, Danutė Krapavickaitė	Estimation of Income Inequality Indicators
Kaja Sõstra	Compilation of activity status and employment variables in Estonian register-based census
R. Moskotina, M. Sydorov	The relationship between the number of reminders and the proportion of full responses in online surveys
A. Dzhoha, I. Rozora	Sequential resource allocation under multi-armed bandit model with online clustering as side information
Yana Bondarenko	Statistical Analysis with Missing Data
Andris Fisenko	Using administrative data to clarify and adjust economic survey data: The case of Latvian HFCS
S. Purona-Sida	Challenges and solutions to maintaining survey response rates in Social Statistics
Rita Vanaga and Biruta Sloka	CHALLENGES FOR REAL SURVEY DEVELOPMENT AND ORGANISATION
Ilze Brante and Biruta Sloka	ORGANISATION AND REALISATION OF SURVEY BY DIFFERENT STAKEHOLDERS (ENTREPRENEURS, EDUCATORS, STUDENTS AND PUBLIC ADMINISTRATORS) ON WORK-BASED LEARNING
Biruta Sloka	TEACHING ASPECTS ON SURVEYS, ON QUESTIONNAIRE DESIGN, ON PILOT SURVEY, ON SAMPLE SELECTION AND DATA COLLECTION USING QUESTIONPRO AND OBTAINED DATA ANALYSIS WITH SPSS
Milda Šličkutė-Šeštokienė	REGISTER-BASED POPULATION AND HOUSING CENSUS IN LITHUANIA

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Last update 18 August 2022