Mike G. Tsionas

According to our database, Mike G. Tsionas authored at least 67 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., February, 2024

A Bayesian learning model of hedge fund performance.

Emmanuel C. Mamatzakis, Pankaj C. Patel, Mike G. Tsionas

Ann. Oper. Res., February, 2024

A generalized inefficiency model with input and output dependence.

Mike G. Tsionas

Eur. J. Oper. Res., January, 2024

Correction to: Multi-criteria optimization in regression.

Mike G. Tsionas

Ann. Oper. Res., January, 2024

2023

Bayesian learning in performance. Is there any?

Mike G. Tsionas

Eur. J. Oper. Res., November, 2023

Measures of global sensitivity in linear programming: applications in banking sector.

Mike G. Tsionas, Dionisis Philippas

Ann. Oper. Res., November, 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., September, 2023

Joint production in stochastic non-parametric envelopment of data with firm-specific directions.

Mike G. Tsionas

Eur. J. Oper. Res., June, 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., June, 2023

Linex and double-linex regression for parameter estimation and forecasting.

Mike G. Tsionas

Ann. Oper. Res., April, 2023

Minimax regret priors for efficiency estimation.

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

Combining data envelopment analysis and stochastic frontiers via a LASSO prior.

Mike G. Tsionas

Eur. J. Oper. Res., 2023

Clustering and meta-envelopment in data envelopment analysis.

Mike G. Tsionas

Eur. J. Oper. Res., 2023

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

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

Convex non-parametric least squares, causal structures and productivity.

Mike G. Tsionas

Eur. J. 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

Endogenous productivity: a new Bayesian perspective.

Michael L. Polemis, Mike G. Tsionas

Ann. Oper. Res., 2022

2021

Stochastic frontier models with time-varying conditional variances.

Mike G. Tsionas, Subal C. Kumbhakar

Eur. J. Oper. Res., 2021

Optimal combinations of stochastic frontier and data envelopment analysis models.

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

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

Multi-criteria optimization in regression.

Mike G. Tsionas

Ann. Oper. Res., 2021

Testing for persistence in US mutual funds' performance: a Bayesian dynamic panel model.

Emmanuel C. Mamatzakis, Mike G. Tsionas

Ann. Oper. Res., 2021

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

Endogenous dynamic efficiency in the intertemporal optimization models of firm behavior.

Mike G. Tsionas, Emir Malikov, Subal C. Kumbhakar

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

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 model of environmental performance and technology gaps.

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

Quantile Stochastic Frontiers.

Mike G. Tsionas

Eur. J. Oper. Res., 2020

A coherent approach to Bayesian Data Envelopment Analysis.

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

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

Management estimation in banking.

Manthos D. Delis, Maria Iosifidi, Mike G. Tsionas

Eur. J. 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

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 note on the Gao et al. (2019) uniform mixture model in the case of regression.

Mike G. Tsionas, Athanasios Andrikopoulos

Ann. Oper. Res., 2020

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

Further results on estimating inefficiency effects in stochastic frontier models.

Mike G. Tsionas, Emmanuel C. Mamatzakis

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

Multi-objective optimization using statistical models.

Mike G. Tsionas

Eur. J. Oper. Res., 2019

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

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

A novel model of costly technical efficiency.

Mike G. Tsionas, Marwan Izzeldin

Eur. J. Oper. Res., 2018

Bayesian inference of the fractional Ornstein-Uhlenbeck process under a flow sampling scheme.

Theodore E. Simos, Mike G. Tsionas

Comput. Stat., 2018

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

Adjustment costs in the technical efficiency: An application to global banking.

Euthimios G. Tsionas, Emmanuel C. Mamatzakis

Eur. J. Oper. Res., 2017

Microfoundations for stochastic frontiers.

Mike G. Tsionas

Eur. J. Oper. Res., 2017

Endogenous bank risk and efficiency.

Manthos D. Delis, Maria Iosifidi, Mike G. Tsionas

Eur. J. Oper. Res., 2017

2016

Bayesian analysis of multivariate stable distributions using one-dimensional projections.

Mike G. Tsionas

J. Multivar. Anal., 2016

Parameters measuring bank risk and their estimation.

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

Zero-inefficiency stochastic frontier models with varying mixing proportion: A semiparametric approach.

Kien C. Tran, Mike G. Tsionas

Eur. J. Oper. Res., 2016

2015

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

2014

On the Estimation of Marginal Cost.

Manthos D. Delis, Maria Iosifidi, Efthymios G. Tsionas

Oper. Res., 2014

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

2012

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

2010

Globally flexible functional forms: The neural distance function.

Panayotis G. Michaelides, Angelos T. Vouldis, Efthymios G. Tsionas

Eur. J. Oper. Res., 2010

Technical and allocative efficiency in European banking.

Sophocles N. Brissimis, Manthos D. Delis, Efthymios G. Tsionas

Eur. J. Oper. Res., 2010

Testing for the generalized normal-Laplace distribution with applications.

Simos G. Meintanis, Efthimios Tsionas

Comput. Stat. Data Anal., 2010

Estimation of production risk and risk preference function: a nonparametric approach.

Subal C. Kumbhakar, Efthymios G. Tsionas

Ann. Oper. Res., 2010

2009

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

2004

Bayesian inference for multivariate gamma distributions.

Efthymios G. Tsionas

Stat. Comput., 2004

2003

Combining DEA and stochastic frontier models: An empirical Bayes approach.

Efthymios G. Tsionas

Eur. J. Oper. Res., 2003

2001

Posterior Analysis of Stochastic Frontier Models with Truncated Normal Errors.

Efthymios G. Tsionas

Comput. Stat., 2001