Posterior Analysis of Stochastic Frontier Models with Truncated Normal Errors. - Efthymios G. Tsionas (Comput. Stat., 2001)

Combining DEA and stochastic frontier models: An empirical Bayes approach. - Efthymios G. Tsionas (Eur. J. Oper. Res., 2003)

Bayesian inference for multivariate gamma distributions. - Efthymios G. Tsionas (Stat. Comput., 2004)

Global Approximations to Cost and Production Functions using Artificial Neural Networks. - Efthymios G. Tsionas; Panayotis G. Michaelides; Angelos T. Vouldis (Int. J. Comput. Intell. Syst., 2009)

Estimation of production risk and risk preference function: a nonparametric approach. - Subal C. Kumbhakar; Efthymios G. Tsionas (Ann. Oper. Res., 2010)

Testing for the generalized normal-Laplace distribution with applications. - Simos G. Meintanis; Efthimios Tsionas (Comput. Stat. Data Anal., 2010)

Technical and allocative efficiency in European banking. - Sophocles N. Brissimis; Manthos D. Delis; Efthymios G. Tsionas (Eur. J. Oper. Res., 2010)

Globally flexible functional forms: The neural distance function. - Panayotis G. Michaelides; Angelos T. Vouldis; Efthymios G. Tsionas (Eur. J. Oper. Res., 2010)

Erratum to: "Testing for the generalized normal-Laplace distribution with applications" [Computational Statistics and Data Analysis 54 (2010) 3174-3180]. - Simos G. Meintanis; Efthimios Tsionas (Comput. Stat. Data Anal., 2012)

On the use of marginal posteriors in marginal likelihood estimation via importance sampling. - Konstantinos Perrakis; Ioannis Ntzoufras; Efthymios G. Tsionas (Comput. Stat. Data Anal., 2014)

On the Estimation of Marginal Cost. - Manthos D. Delis; Maria Iosifidi; Efthymios G. Tsionas (Oper. Res., 2014)

Global approximation to arbitrary cost functions: A Bayesian approach with application to US banking. - Panayotis G. Michaelides; Efthymios G. Tsionas; Angelos T. Vouldis; Konstantinos N. Konstantakis (Eur. J. Oper. Res., 2015)

Zero-inefficiency stochastic frontier models with varying mixing proportion: A semiparametric approach. - Kien C. Tran; Mike G. Tsionas (Eur. J. Oper. Res., 2016)

Notes on technical efficiency estimation with multiple inputs and outputs. - Mike G. Tsionas (Eur. J. Oper. Res., 2016)

Parameters measuring bank risk and their estimation. - Mike G. Tsionas (Eur. J. Oper. Res., 2016)

Bayesian analysis of multivariate stable distributions using one-dimensional projections. - Mike G. Tsionas (J. Multivar. Anal., 2016)

Endogenous bank risk and efficiency. - Manthos D. Delis; Maria Iosifidi; Mike G. Tsionas (Eur. J. Oper. Res., 2017)

Microfoundations for stochastic frontiers. - Mike G. Tsionas (Eur. J. Oper. Res., 2017)

Adjustment costs in the technical efficiency: An application to global banking. - Euthimios G. Tsionas; Emmanuel C. Mamatzakis (Eur. J. Oper. Res., 2017)

Corrigendum to 'Adjustment costs in the technical efficiency: An application to global banking' [European Journal of Operational Research 256 (2017) 640-649]. - Euthimios G. Tsionas; Emmanuel C. Mamatzakis (Eur. J. Oper. Res., 2017)

Bayesian inference of the fractional Ornstein-Uhlenbeck process under a flow sampling scheme. - Theodore E. Simos; Mike G. Tsionas (Comput. Stat., 2018)

A novel model of costly technical efficiency. - Mike G. Tsionas; Marwan Izzeldin (Eur. J. Oper. Res., 2018)

Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares. - Mike G. Tsionas; Marwan Izzeldin (Eur. J. Oper. Res., 2018)

An internally consistent approach to the estimation of market power and cost efficiency with an application to U.S. banking. - Efthymios G. Tsionas; Emir Malikov; Subal C. Kumbhakar (Eur. J. Oper. Res., 2018)

Multi-objective optimization using statistical models. - Mike G. Tsionas (Eur. J. Oper. Res., 2019)

A Bayesian semiparametric approach to stochastic frontiers and productivity. - Mike G. Tsionas; Sushanta K. Mallick (Eur. J. Oper. Res., 2019)

Further results on estimating inefficiency effects in stochastic frontier models. - Mike G. Tsionas; Emmanuel C. Mamatzakis (Eur. J. Oper. Res., 2019)

On the estimation of total factor productivity: A novel Bayesian non-parametric approach. - Mike G. Tsionas; Michael L. Polemis (Eur. J. Oper. Res., 2019)

A note on the Gao et al. (2019) uniform mixture model in the case of regression. - Mike G. Tsionas; Athanasios Andrikopoulos (Ann. Oper. Res., 2020)

On mutual funds-of-ETFs asset allocation with rebalancing: sample covariance versus EWMA and GARCH. - Panagiotis Xidonas; Mike G. Tsionas; Constantin Zopounidis (Ann. Oper. Res., 2020)

A Bayesian approach to continuous type principal-agent problems. - A. George Assaf; Ruijun Bu; Mike G. Tsionas (Eur. J. Oper. Res., 2020)

Management estimation in banking. - Manthos D. Delis; Maria Iosifidi; Mike G. Tsionas (Eur. J. Oper. Res., 2020)

On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations. - Subal C. Kumbhakar; Mike G. Tsionas (Eur. J. Oper. Res., 2020)

A spatial stochastic frontier model with endogenous frontier and environmental variables. - Levent Kutlu; Kien C. Tran; Mike G. Tsionas (Eur. J. Oper. Res., 2020)

A coherent approach to Bayesian Data Envelopment Analysis. - Mike G. Tsionas (Eur. J. Oper. Res., 2020)

Quantile Stochastic Frontiers. - Mike G. Tsionas (Eur. J. Oper. Res., 2020)

Bounded rationality and thick frontiers in stochastic frontier analysis. - Mike G. Tsionas (Eur. J. Oper. Res., 2020)

On a model of environmental performance and technology gaps. - Mike G. Tsionas (Eur. J. Oper. Res., 2020)

A note on Sigma-Mu efficiency analysis as a methodology for evaluating units through composite indicators. - Mike G. Tsionas (Eur. J. Oper. Res., 2020)

On a High-Dimensional Model Representation method based on Copulas. - Mike G. Tsionas; Athanasios Andrikopoulos (Eur. J. Oper. Res., 2020)

Endogenous dynamic efficiency in the intertemporal optimization models of firm behavior. - Mike G. Tsionas; Emir Malikov; Subal C. Kumbhakar (Eur. J. Oper. Res., 2020)

Does risk aversion affect bank output loss? The case of the Eurozone. - Mike G. Tsionas; Emmanuel C. Mamatzakis; Steven Ongena (Eur. J. Oper. Res., 2020)

Testing for persistence in US mutual funds' performance: a Bayesian dynamic panel model. - Emmanuel C. Mamatzakis; Mike G. Tsionas (Ann. Oper. Res., 2021)

Multi-criteria optimization in regression. - Mike G. Tsionas (Ann. Oper. Res., 2021)

Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints. - Scott E. Atkinson; Mike G. Tsionas (Eur. J. Oper. Res., 2021)

Making inference of British household's happiness efficiency: A Bayesian latent model. - Emmanuel C. Mamatzakis; Mike G. Tsionas (Eur. J. Oper. Res., 2021)

Optimal combinations of stochastic frontier and data envelopment analysis models. - Mike G. Tsionas (Eur. J. Oper. Res., 2021)

Stochastic frontier models with time-varying conditional variances. - Mike G. Tsionas; Subal C. Kumbhakar (Eur. J. Oper. Res., 2021)

Endogenous productivity: a new Bayesian perspective. - Michael L. Polemis; Mike G. Tsionas (Ann. Oper. Res., 2022)

On identifying risk-adjusted efficiency gains or losses of prospective mergers and acquisitions. - Mike G. Tsionas; Konstantinos N. Baltas (Ann. Oper. Res., 2022)

Convex non-parametric least squares, causal structures and productivity. - Mike G. Tsionas (Eur. J. Oper. Res., 2022)

Corrigendum to "Stochastic frontier models with time-varying conditional variances" [European Journal of Operational Research 292 (2021) 1115-1132]. - Mike G. Tsionas; Subal C. Kumbhakar (Eur. J. Oper. Res., 2022)

Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models. - Kien C. Tran; Mike G. Tsionas; Artem B. Prokhorov (Eur. J. Oper. Res., 2023)

Clustering and meta-envelopment in data envelopment analysis. - Mike G. Tsionas (Eur. J. Oper. Res., 2023)

Combining data envelopment analysis and stochastic frontiers via a LASSO prior. - Mike G. Tsionas (Eur. J. Oper. Res., 2023)

Performance estimation when the distribution of inefficiency is unknown. - Mike G. Tsionas (Eur. J. Oper. Res., 2023)

Minimax regret priors for efficiency estimation. - Mike G. Tsionas (Eur. J. Oper. Res., 2023)

Linex and double-linex regression for parameter estimation and forecasting. - Mike G. Tsionas (Ann. Oper. Res., 2023)

Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry. - Hirofumi Fukuyama; Mike G. Tsionas; Yong Tan (Eur. J. Oper. Res., 2023)

Joint production in stochastic non-parametric envelopment of data with firm-specific directions. - Mike G. Tsionas (Eur. J. Oper. Res., 2023)

Effects of the vaccination and public support on covid-19 cases and number of deaths in Sweden. - Mike G. Tsionas; Mikael A. Martins; Almas Heshmati (Oper. Res., 2023)

Measures of global sensitivity in linear programming: applications in banking sector. - Mike G. Tsionas; Dionisis Philippas (Ann. Oper. Res., 2023)

Bayesian learning in performance. Is there any? - Mike G. Tsionas (Eur. J. Oper. Res., 2023)

Correction to: Multi-criteria optimization in regression. - Mike G. Tsionas (Ann. Oper. Res., 2024)

A generalized inefficiency model with input and output dependence. - Mike G. Tsionas (Eur. J. Oper. Res., 2024)

A Bayesian learning model of hedge fund performance. - Emmanuel C. Mamatzakis; Pankaj C. Patel; Mike G. Tsionas (Ann. Oper. Res., 2024)

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. - Hirofumi Fukuyama; Mike G. Tsionas; Yong Tan (Eur. J. Oper. Res., 2024)

Incorporating causal modeling into data envelopment analysis for performance evaluation. - Hirofumi Fukuyama; Mike G. Tsionas; Yong Tan (Ann. Oper. Res., 2024)

Women, immigrants, and microcredit in Europe: a Bayesian approach. - Anastasia Cozarenco; Ariane Szafarz; Mike G. Tsionas (Ann. Oper. Res., 2025)