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ENBIS-19 in Budapest

Eötvös Loránd University – September 2nd-4th, 2019

The 19th annual conference of the European Network for Business and Industrial Statistics was hosted by the Department of Probability Theory and Statistics at the Eötvös Loránd University, Budapest and took place from the 2nd to 4th of September, 2019.

Pre- and post conference courses were held on topical subjects: New Product Growth Models, Causality, Functional Data Analysis and Random Forests.

We cordially invite you not only to engage in highly rewarding scientific and professional exchange during the conference, but also to find some leisure time and explore the town of Budapest and its region.

Warmly welcome,
ENBIS-19 Organizing Committee

About the conference

ENBIS (the European Network for Business and Industrial Statistics) is a platform where statistical practitioners and academic statisticians from Europe and beyond meet, exchange ideas and design new projects. Individual membership of ENBIS is free. Many ENBIS network activities are web-based, but some take place face-to-face. Spring meetings are always dedicated to a special topic (e.g. data mining, reliability, DOE, etc.), whereas the annual conference (which traditionally takes place every September) hosts presentations from a wide variety of sectors, ranging from manufacturing to service, from private to public sector. Conference contributions can consist of introductions and overviews (presenting an area of expertise to the uninitiated), reviews (presenting state of the art advances in scientic research), and best practice communications (sharing experiences of practitioners). In short: The annual conference features both theoretical and practical papers. In addition, people from industry and business are invited to present their problems and current solutions and pick the brains of other conference participants to find better solutions than their current ones.

The annual conference session topics include but are not limited to, the special areas of interest that exist within ENBIS (formalised in the so-called Special Interest Groups). The non-exhaustive list includes:

  • Design of Experiments
  • Measurement Uncertainty
  • Process Modeling and Control
  • Reliability and Safety
  • Statistics in the Pharmaceutical Industry
  • Statistical Computing
  • Operational Risk Management
  • Statistics in Practice
  • Stochastic Modelling
  • Quality Improvement and Six Sigma
  • Data Mining and Warehousing
  • Machine Learning
  • Predictive Analytics
  • Statistical Education for Business and Industry
  • Business and Finance

The annual conference also features distinguished keynote speakers, special thematic sessions, workshops and panel discussions, as well as pre- and post-conference courses and an industrial visit.

Confirmed keynotes for the ENBIS-19 conference in Budapest are:

  • Christine M. Anderson-Cook (Los Alamos National Laboratory, USA), on “Big Decisions: How Statisticians Can Contribute”.
  • Andrea Saltelli (University of Bergen, Norway), on “Sensitivity Analysis. An introduction”.
  • Ronald J.M.M. Does (University of Amsterdam, the Netherlands, Box Medal recipient)
  • Rebecca Killick (Lancaster University, England, Young Statistician Award recipient)
  • Eugene Tuv (Intel Corp, USA, Best Manager Award)

Highlights of the ENBIS Annual Conference 2019 include:

  • Nine Organized Sessions related to the most important Journals and/or Statistical Associations; among others: the SFDS (French Statistical Society) Session, the ISBIS Session, the JQT, Technometrics and QE Session, the US Session, the Latin American Session, the Bayesian Methods in Industrial Statistics (ISBA session), the SIS (Italian Statistical Society) Session, and the European Statistical Engineering Session.
  • Eleven Special Sessions that spread among many topics, such as: Uncertainty for deep learning, Business Statistics, Kansei Engineering, Statistical Fusion of Heteregenous Measurement Networks, Competences and Skills in Business World, Modern Approach to Process Monitoring, Reliability, and others.
  • Finally, two Special sessions dedicated to Young Statisticians,  and to Statistical Software, like JMP and StatEase

The following pre- and post-conference events in the framework of ENBIS-19 can also be booked (click on the course title for more information):

  1. A joint ECAS-ENBIS 1-Day Summer Course on September 1st, with the topics:
    New Product Growth Models: Theory, Practice and a Look to the Future by Mariangela Guidolin (University of Padua, Italy)
    Causality: A Half Day Workshop by Ron S. Kenett (KPA Ltd and the Samuel Neaman Institute, Technion, Israel)
  2. Functional Data Analysis by Chris Gotwalt (JMP Division of SAS Institute, USA), on September 4th,
  3. Random Forests by Jean-Michel Poggi (Paris-Descartes University and Lab. Maths Orsay, France), on September 5th

In conclusion of the conference, on September 4th, a separate Industrial Visit to Morgan Stanley Budapest will take place. This can be booked here. (Limited to 18 Attendants)


A series of pre- and post-conference events will take place in the framework of ENBIS-19:

Joint ECAS-ENBIS 1-Day Summer School:

This 1-day Summer School is a joint initiative from ENBIS and ECAS ( which provides courses since 1987 to achieve training in special areas of statistics for both researchers and teachers from universities and professionals in industry field.

When: Sunday, 1st September 2019, 9:30 – 18:30

Two courses will be offered:

New Product Growth Models: Theory, Practice, and a Look to the Future

by Mariangela Guidolin (Department of Statistical Sciences, University of Padua, Italy)

Causality: A Half Day Workshop

by Ron S. Kenett (KPA Ltd and the Samuel Neaman Institute, Technion, Israel)

More information

Post-conference course

Functional Data Analysis

by Christopher Gotwalt (JMP Division of SAS Institute)

When: Wednesday, 4th September 2019, 14:00 – 18:00

More information

Post-conference course

Random forests

by Jean-Michel Poggi (Paris-Descartes Univ. and Lab. Maths Orsay, Paris Saclay University, France)

When: Thursday, 5th September 2019, 9:00 – 13:00

More information


The ENBIS-19 Programme Committee members are:

  • Rossella Berni (Chair), University of Florence, Italy
  • Andrea Ahlemeyer-Stubbe, Ahlemeyer-Stubbe Data Mining and More, Germany
  • Alessandro Di Bucchianico, Eindhoven University of Technology, The Netherlands
  • Alberto Ferrer, Universidad Politecnica de Valencia, Spain
  • Anne Gégout-Petit, Université de Lorraine, France
  • Rainer Göb, University of Würzburg, Germany
  • Nikolaus Haselgruber, CIS, Austria
  • Lluís Marco-Almagro, Universitat Politècnica de Catalunya, Barcelona, Spain
  • Irena Ograjenšek, University of Ljubljana, Slovenia
  • Antonio Pievatolo, CNR-IMATI, Italy
  • Marco Seabra dos Reis, University of Coimbra, Portugal
  • Olivier Roustant, Ecole de Mines de Saint-Etienne, France
  • Murat Caner Testik, Hacettepe University, Turkey
  • András Zempléni, Eötvös Loránd University, Budapest, Hungary

The ENBIS-19 Organizing Committee members are:

  • András Zempléni (Chair), Eötvös Loránd University, Budapest, Hungary
  • Ágnes Backhausz, Eötvös Loránd University, Budapest, Hungary


Sunday, 1 September 2019
Monday, 2 September 2019
Tuesday, 3 September 2019
Wednesday, 4 September 2019
Thursday, 5 September 2019