Čiginas Andrius

Dr. Andrius Čiginas is a Senior Researcher at the Interdisciplinary Statistical Research Group, part of the Institute of Data Science and Digital Technologies (VU DMSTI) at Vilnius University. His work focuses on advancing survey statistics, small area estimation, and the integration of non-probability samples into official statistics.

Research Focus

Dr. Čiginas specializes in developing statistical methodologies for improving the accuracy and efficiency of population estimates, especially in small domains. His research includes:

• Composite estimation techniques
• Non-probability sample integration
• Real-time prediction using social media and administrative data
• Bootstrap and Edgeworth approximations for finite populations

Doctoral Supervision

He currently supervises two doctoral students:

• Akvilė Vitkauskaitė – Informatics (2024–2028): Parameter estimation and forecasting in population domains using non-probability samples.
• Ieva Burakauskaitė – Mathematics (2022–2026): Use of additional information in estimating parameters in population domains.

Scientific Contributions

Dr. Čiginas has published extensively in top-tier journals such as Journal of Official Statistics, Statistics, and Nonlinear Analysis: Modelling and Control. His recent work explores the integration of non-probability data sources into official statistics, consumer confidence estimation, and small area estimation techniques.