- Μπεϋσιανή Στατιστική & Οικονομετρία
 
- Προβλέψεις
 
- Χρηματοοικονομικές Χρονολογικές Σειρές
 
- Στατιστική του Περιβάλλοντος και της Βιολογίας
 
     - Επισκέπτης Καθηγητής, Division of Business Analytics, University of Sydney Business School, University of Sydney, AU.
 
- Ερευνητικός Εταίρος στη Βιοστατιστική, Department of Epidemiology, Imperial College Medical School, Imperial College, U.K.
 
- Βοηθός Έρευνας στη Στατιστική, Department of Statistics 
  London School of Economics, U.K.
 
- Επισκέπτης Καθηγητής στα Ποσοτικά Οικονομικά, Department of Quantitative Economics, University of Maastricht, NL. 
 
Βιβλία
- Τσιώτας, Γεώργιος, κ.ά. (επιμέλεια), 2018. Βασικές Αρχές Στατιστικής για Επιχειρήσεις-Έννοιες και Εφαρμογές, Berenson L. Mark, Levine M. David, Szabat A. Kathryn.. εκδ. Broken Hill, Αθήνα, Ελλάδα. 
 
- Τσιώτας, Γεώργιος, 2022. Μαθήματα Στατιστικής. εκδ. Πεδίο, Αθήνα, Ελλάδα. 
 Tsiotas, Georgios, 2002. Nonlinearities in Stochastic Volatility Models. Ph.D thesis, University of Essex, UK. 
 Ερευνητικά Άρθρα2025
Tsiotas, Georgios, Argiriou Athanasios and Mamara Anna. 
A Bayesian quantile regression framework for modeling trends in air temperature: The case for Greece. 
Theoretical and Applied Climatology Volume 156, Article 29.
 2024
Tsiotas, Georgios, Argiriou Athanasios and Mamara Anna. 
Assessing the variability and forecastability of time-trends for air 
temperatures in Greece: a Bayesian approach. 
Theoretical and Applied Climatology,1-30.
 
Paitakis Konstantinos and Georgios Tsiotas
Regime switching differentials in the green and non-green energy market. 
Encyclopedia of Monetary Policy, Financial Markets and Banking, Elsevier,  1st Edition - June 1, 2025
Editor: Nicholas Apergis, Hardback ISBN: 9780443137761.
 
 2022
Tsiotas, Georgios. Regression Analysis Using Asymmetric Losses: 
A Bayesian Approach. Journal of Quantitative Economics. 
 
 
Tsiotas, Georgios, Mamara Anna, Argiriou Athanasios and Tsoukala Aikaterini (Katerina). 
Testing mean air temperature trends in southern Greece: A Bayesian approach. 
International Journal of Climatology, 1– 27.
 2021
Tsiotas Georgios and Athanasios Argiriou. Forecasting cloud cover time-series using generalized regression neural networks (work in progress). 
  
  Aikaterini (Katerina) Tsoukala and Georgios Tsiotas. 
Assessing Green Bond Risk: An Empirical Investigation. Green Finance, 3(2), 222-252.
 Tsiotas, Georgios. Macroeconomics forecasts under asymmetric loss functions:  A Bayesian approach (work in progress).
 Tsiotas, Georgios. 
Forecasting exchange rates using asymmetric losses: A Bayesian approach Quantitative Finance, Published online: 19 Jul 2021.
 
 2020
Tsiotas, Georgios. An ABC approach for CAViaR models with an asymmetric decision rule. 
Journal of Statistical Computing and Simulation, 90 (8), 1373-1398.
 Tsiotas, Georgios. On the use of power transformations in CAViaR models. Journal of Forecasting, 39 296-312.
 
 2018
Tsiotas, Georgios. A Bayesian encompassing test using combined value-at-risk estimates. Quantitative Finance, 18, 395-417.
 
 2015
Tsiotas, Georgios. A quasi Bayesian Model Averaging approach for conditional quantile models. 
Journal of Statistical Computing and Simulation, 85(10), 1963-1986.
 
 2012
Tsiotas, Georgios and Athanasios Argiriou. An efficient approach to spatio-temporal analysis and modelling of air pollution data. 
Journal of Agricultural Biological and Environmental Statistics, 16(3), 371-388.
 Tsiotas, Georgios. On generalised asymmetric Stochastic Volatility Models. 
Computational Statistics and Data Analysis, 56(1), 151-172.
 
 Older
Tsiotas, Georgios. 2009. On the use of non-linear transformations in Stochastic Volatility Models. 
Statistical Methods and Applications, 18(4): 555-583.
 Tsiotas, Georgios, 2007. On the use of the Box-Cox transformation in the Conditional Variance Models. 
Finance Research Letters, 4: 28-32.
 Tsiotas, Georgios, 2007. Spatial-Temporal modelling of rainfall in Crete.  Proceedings European Water Resources Association, Chania, Greece. .
 Kanas, Angelos and Georgios Tsiotas, 2005. Real interest rates linkages between the U.S.A. and the U.K. in the post-war period. 
International Journal of Finance and Economics, 10(3): 1-12.
 Yao, Q., G. Tsiotas, H. Tong, and N. Stenselth, 2002.  Estimation for Spatial and Spatio-Temporal Models for Biological Population Data.
  L.S.E., Department of Statistics.
 
 
 Last Update:  15 January 2025
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