Team

Team

Dipl.-Math. Lydia Simon

Academic Staff

Dipl.-Math. Lydia Simon

Room:
LB 025
Phone:
+49 203 37-92193
Email:
Address:
Universität Duisburg-Essen, Campus Duisburg
Mercator School of Management - Fakultät für Betriebswirtschaftslehre
Lehrstuhl für Marketing
Lotharstraße 65
47057 Duisburg

Bio:

Academic Background

since 09/2018                              University of Duisburg-Essen
                                                    Research Assistant, Chair of Marketing (Prof. Adler)

09/2015 - 08/2018                       University of Duisburg-Essen
                                                     External Doctoral Student, Chair of Marketing (Prof. Adler)

10/2000 - 03/2008                       University of Duisburg-Essen
                                                     Studies of Mathematics with Economics as subsidiary subject (diploma)

09/1998 - 06/2000                       Erzbischöfliches Suitbertus-Gymnasium, Düsseldorf
                                                    Abitur

09/1997 - 07/1998                       Bootham School, York

Professional Qualifications

05/2008 - 05/2018                       KPMG AG, Düsseldorf
                                                     Bank auditor in the division Audit Financial Services

01/2007 - 01/2008                       KPMG DTG AG, Düsseldorf
                                                    Student trainee in the division Audit Corporate Clients

Fields of Research:

  • Customer Base Analysis
  • Bayesian Modeling
  • Monte Carlo Markov Chain (MCMC) simulations

Talks:

Filter:
  • Simon, Lydia; Adler, Jost: Know your Limits: Comparison of MCMC Procedures for Pareto/NBD Distributed Data Sets, 41st Annual ISMS Marketing Science Conference (June 20-22), 22.06.2019, Rom, Italien. Details
  • Simon, Lydia; Adler, Jost: Know your Limits: Minimal Requirements for Pareto/NBD Distributed Data Sets, 48th European Marketing Academy (EMAC) Annual Conference (May 28-31), 29.05.2019, Hamburg, Germany. Details

Courses:

  • Empirische Forschungsmethoden - Multivariate Datenanalyse