Malvina Vamvakari, Professor

Basic Information


Office: 5.2, 5th floor

Phone: +30210 9549404

E-mail: mvamv[at]hua[dot]gr


Research Field: Probability-Combinatorics-Statistics and Applications

Short CV

Malvina Vamvakari is a Professor in the area of Probability-Combinatorics-Statistics and Applications at the Department of Informatics and Telematics of Harokopio University. She graduated from the Department of Mathematics of the National Kapodistrian University of Athens in 1991 and was awarded a PhD degree by the same Department in 1997. She had been a postdoctoral fellow at the Computer Engineering Department of the University of Patras and a researcher at the Institute of Computer Technology of Patras. Her research interests include asymptotic combinatorial enumeration, discrete probability distributions, stochastic analysis, random graphs, and statistical data analysis.

Indicative Publications

1. Thomas Kamalakis, Malvina Vamvakari, "q-Random Walks on Z d, d = 1, 2, 3", Methodology and Computing in Applied Probability (2021), DOI: 10.1007/s11009-020-09788-9

2. Andreas Kyriakoussis, Malvina Vamvakari, "Correction notice to “Heine process as a q-analog of the Poisson process-waiting and interarrival times”", Communications in Statistics - Theory and Methods (2021), DOI: 10.1080/03610926.2021.1891440

3. Malvina Vamvakari, "On multivariate discrete q-Distributions-A multivariate q-Cauchy’s formula", Communications in Statistics - Theory and Methods (2020), DOI: 10.1080/03610926.2019.1626427

4. Fragkiskos G. Bersimis, Iraklis Varlamis, Malvina Vamvakari, Demosthenes B. Panagiotakos, "Binary classification techniques: An application on simulated and real bio-medical data", Data Analysis and Applications 3: Computational, Classification, Financial, Statistical and Stochastic Methods (2020), DOI: 10.1002/9781119721871.ch8

5. Dimitris Panaretos, George Tzavelas, Malvina Vamvakari, Demosthenes Panagiotakos, "Investigating the role of orthogonal and non–orthogonal rotation in multivariate factor analysis, in regard to the repeatability of the extracted factors: A simulation study", Communications in Statistics: Simulation and Computation (2019), DOI: 10.1080/03610918.2018.1435803