Mike G. Tsionas

56 papers Journal 56
YearRankTypeTitle / Venue / Authors
2025 J jnl
Goodness-of-fit in production models: A Bayesian perspective.
Eur. J. Oper. Res.
Mike G. Tsionas, Valentin Zelenyuk, Xibin Zhang
2025 J jnl
Multi-stage stochastic frontier analysis for simple networks.
Int. Trans. Oper. Res.
Geraint Johnes, Mike G. Tsionas, Marwan Izzeldin
2025 J jnl
Women, immigrants, and microcredit in Europe: a Bayesian approach.
Ann. Oper. Res.
Anastasia Cozarenco, Ariane Szafarz, Mike G. Tsionas
2024 J jnl
A Bayesian learning model of hedge fund performance.
Ann. Oper. Res.
Emmanuel C. Mamatzakis, Pankaj C. Patel, Mike G. Tsionas
2024 J jnl
A generalized inefficiency model with input and output dependence.
Eur. J. Oper. Res.
Mike G. Tsionas
2024 J jnl
Correction to: Multi-criteria optimization in regression.
Ann. Oper. Res.
Mike G. Tsionas
2024 J jnl
Incorporating causal modeling into data envelopment analysis for performance evaluation.
Ann. Oper. Res.
Hirofumi Fukuyama, Mike G. Tsionas, Yong Tan
2024 J jnl
The impacts of innovation and trade openness on bank market power: The proposal of a minimum distance cost function approach and a causal structure analysis.
Eur. J. Oper. Res.
Hirofumi Fukuyama, Mike G. Tsionas, Yong Tan
2023 J jnl
Bayesian learning in performance. Is there any?
Eur. J. Oper. Res.
Mike G. Tsionas
2023 J jnl
Clustering and meta-envelopment in data envelopment analysis.
Eur. J. Oper. Res.
Mike G. Tsionas
2023 J jnl
Combining data envelopment analysis and stochastic frontiers via a LASSO prior.
Eur. J. Oper. Res.
Mike G. Tsionas
2023 J jnl
Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry.
Eur. J. Oper. Res.
Hirofumi Fukuyama, Mike G. Tsionas, Yong Tan
2023 J jnl
Effects of the vaccination and public support on covid-19 cases and number of deaths in Sweden.
Oper. Res.
Mike G. Tsionas, Mikael A. Martins, Almas Heshmati
2023 J jnl
Joint production in stochastic non-parametric envelopment of data with firm-specific directions.
Eur. J. Oper. Res.
Mike G. Tsionas
2023 J jnl
Linex and double-linex regression for parameter estimation and forecasting.
Ann. Oper. Res.
Mike G. Tsionas
2023 J jnl
Measures of global sensitivity in linear programming: applications in banking sector.
Ann. Oper. Res.
Mike G. Tsionas, Dionisis Philippas
2023 J jnl
Minimax regret priors for efficiency estimation.
Eur. J. Oper. Res.
Mike G. Tsionas
2023 J jnl
Performance estimation when the distribution of inefficiency is unknown.
Eur. J. Oper. Res.
Mike G. Tsionas
2023 J jnl
Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models.
Eur. J. Oper. Res.
Kien C. Tran, Mike G. Tsionas, Artem B. Prokhorov
2022 J jnl
Convex non-parametric least squares, causal structures and productivity.
Eur. J. Oper. Res.
Mike G. Tsionas
2022 J jnl
Corrigendum to "Stochastic frontier models with time-varying conditional variances" [European Journal of Operational Research 292 (2021) 1115-1132].
Eur. J. Oper. Res.
Mike G. Tsionas, Subal C. Kumbhakar
2022 J jnl
Endogenous productivity: a new Bayesian perspective.
Ann. Oper. Res.
Michael L. Polemis, Mike G. Tsionas
2022 J jnl
On identifying risk-adjusted efficiency gains or losses of prospective mergers and acquisitions.
Ann. Oper. Res.
Mike G. Tsionas, Konstantinos N. Baltas
2021 J jnl
Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints.
Eur. J. Oper. Res.
Scott E. Atkinson, Mike G. Tsionas
2021 J jnl
Making inference of British household's happiness efficiency: A Bayesian latent model.
Eur. J. Oper. Res.
Emmanuel C. Mamatzakis, Mike G. Tsionas
2021 J jnl
Multi-criteria optimization in regression.
Ann. Oper. Res.
Mike G. Tsionas
2021 J jnl
Optimal combinations of stochastic frontier and data envelopment analysis models.
Eur. J. Oper. Res.
Mike G. Tsionas
2021 J jnl
Stochastic frontier models with time-varying conditional variances.
Eur. J. Oper. Res.
Mike G. Tsionas, Subal C. Kumbhakar
2021 J jnl
Testing for persistence in US mutual funds' performance: a Bayesian dynamic panel model.
Ann. Oper. Res.
Emmanuel C. Mamatzakis, Mike G. Tsionas
2020 J jnl
A Bayesian approach to continuous type principal-agent problems.
Eur. J. Oper. Res.
A. George Assaf, Ruijun Bu, Mike G. Tsionas
2020 J jnl
A coherent approach to Bayesian Data Envelopment Analysis.
Eur. J. Oper. Res.
Mike G. Tsionas
2020 J jnl
A note on Sigma-Mu efficiency analysis as a methodology for evaluating units through composite indicators.
Eur. J. Oper. Res.
Mike G. Tsionas
2020 J jnl
A note on the Gao et al. (2019) uniform mixture model in the case of regression.
Ann. Oper. Res.
Mike G. Tsionas, Athanasios Andrikopoulos
2020 J jnl
A spatial stochastic frontier model with endogenous frontier and environmental variables.
Eur. J. Oper. Res.
Levent Kutlu, Kien C. Tran, Mike G. Tsionas
2020 J jnl
Bounded rationality and thick frontiers in stochastic frontier analysis.
Eur. J. Oper. Res.
Mike G. Tsionas
2020 J jnl
Does risk aversion affect bank output loss? The case of the Eurozone.
Eur. J. Oper. Res.
Mike G. Tsionas, Emmanuel C. Mamatzakis, Steven Ongena
2020 J jnl
Endogenous dynamic efficiency in the intertemporal optimization models of firm behavior.
Eur. J. Oper. Res.
Mike G. Tsionas, Emir Malikov, Subal C. Kumbhakar
2020 J jnl
Management estimation in banking.
Eur. J. Oper. Res.
Manthos D. Delis, Maria Iosifidi, Mike G. Tsionas
2020 J jnl
On a High-Dimensional Model Representation method based on Copulas.
Eur. J. Oper. Res.
Mike G. Tsionas, Athanasios Andrikopoulos
2020 J jnl
On a model of environmental performance and technology gaps.
Eur. J. Oper. Res.
Mike G. Tsionas
2020 J jnl
On mutual funds-of-ETFs asset allocation with rebalancing: sample covariance versus EWMA and GARCH.
Ann. Oper. Res.
Panagiotis Xidonas, Mike G. Tsionas, Constantin Zopounidis
2020 J jnl
On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations.
Eur. J. Oper. Res.
Subal C. Kumbhakar, Mike G. Tsionas
2020 J jnl
Quantile Stochastic Frontiers.
Eur. J. Oper. Res.
Mike G. Tsionas
2019 J jnl
A Bayesian semiparametric approach to stochastic frontiers and productivity.
Eur. J. Oper. Res.
Mike G. Tsionas, Sushanta K. Mallick
2019 J jnl
Further results on estimating inefficiency effects in stochastic frontier models.
Eur. J. Oper. Res.
Mike G. Tsionas, Emmanuel C. Mamatzakis
2019 J jnl
Multi-objective optimization using statistical models.
Eur. J. Oper. Res.
Mike G. Tsionas
2019 J jnl
On the estimation of total factor productivity: A novel Bayesian non-parametric approach.
Eur. J. Oper. Res.
Mike G. Tsionas, Michael L. Polemis
2018 J jnl
A novel model of costly technical efficiency.
Eur. J. Oper. Res.
Mike G. Tsionas, Marwan Izzeldin
2018 J jnl
Bayesian inference of the fractional Ornstein-Uhlenbeck process under a flow sampling scheme.
Comput. Stat.
Theodore E. Simos, Mike G. Tsionas
2018 J jnl
Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares.
Eur. J. Oper. Res.
Mike G. Tsionas, Marwan Izzeldin
2017 J jnl
Endogenous bank risk and efficiency.
Eur. J. Oper. Res.
Manthos D. Delis, Maria Iosifidi, Mike G. Tsionas
2017 J jnl
Microfoundations for stochastic frontiers.
Eur. J. Oper. Res.
Mike G. Tsionas
2016 J jnl
Bayesian analysis of multivariate stable distributions using one-dimensional projections.
J. Multivar. Anal.
Mike G. Tsionas
2016 J jnl
Notes on technical efficiency estimation with multiple inputs and outputs.
Eur. J. Oper. Res.
Mike G. Tsionas
2016 J jnl
Parameters measuring bank risk and their estimation.
Eur. J. Oper. Res.
Mike G. Tsionas
2016 J jnl
Zero-inefficiency stochastic frontier models with varying mixing proportion: A semiparametric approach.
Eur. J. Oper. Res.
Kien C. Tran, Mike G. Tsionas