Please join us on Friday, February 12, at 2:00PM EST, for an informational webinar regarding the Summer Institute for Survey Research Techniques (SISRT). The mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. Our faculty will host a webinar detailing the 2021 Summer Institute program. Included will be information about course offerings, schedules and special programs. Please share this with anyone you feel may benefit from this educational opportunity.

Advance registration is required.

Sampling Program for Survey Statisticians

The 2021 Sampling Program for Survey Statisticians will be offered by the Survey Research Center at the University of Michigan’s Institute for Social Research from May 19 to July 30, 2021.

This intensive ten-week training program covers the principles and practice of survey sampling, the analysis of complex sample survey data, and application of sampling methods in many settings in three courses:

– Methods of Survey Sampling
– Analysis of Complex Sample Survey Data
– Workshop in Survey Sampling Techniques

For more information.

Text Mining: from basics to deep learning tools, ECAS-SFdS course, Fréjus (France)

The next ECAS-SFdS school will take place from October 10 to 15, 2021, on the French Riviera. The theme is “Text Mining: from basics to deep learning tools” and the course will present an introduction, the classical methods as well as the most recent advances in textual data processing. The contributions of new representations and how to process them using deep neural networks will be illustrated through industrial case studies.

17th International conference “Applied Statistics 2020” is organized by Statistical Society of Slovenia and Faculties of University of Ljubljana in September 20 – 23, 2020, Ribno (Bled), Slovenia.

The main goal of Applied Statistics 2020 conference is to provide an opportunity for researchers in statistics, data analysts, and other professionals from various statistical and related fields to come together, present their research, and learn from each other. A four days program consists of invited paper presentations, contributed paper sections from diverse topics, and starts with a workshop. Cross-discipline and applied paper submissions are especially welcome.

On behalf of the Greek Statistical Institute, we invite you and your members to participate in our 32nd annual conference, to be held from May 31st to June 2, 2019, in Ioannina, Greece. Each year the conference is hosted by the G.S.I. and a different institute. This year it is co-hosted by the Department of Mathematics of the University of Ioannina.

The aim is to bring together researchers from academia and industry in all topics in all areas of theoretical and applied statistics, from probability and operational research to bio statistics and econometric.

Both general and detailed information about the conference (on abstract submission of quality papers, regarding proposals for special sessions or seminars, social events, accommodation etc.) may be found at http://esi2019.conf.uoi.gr/?lang=en.

Following the conference, it is our practice to issue a call for the final versions of the papers presented at the conference. The papers undergo a peer review process; and a good number of them are published in our bilingual Proceedings of the Panhellenic Statistics Conference series.

Important dates:

  • Registration opens (via the portal): 30/01/2019
  • Deadline for special sessions & seminar proposals (via email to esi-stat@hol.gr): 30/03/2019
  • Deadline for abstract submissions (via the portal). Deadline for early-bird rate: 30/04/2019
  • Final conference program release: 15/05/2019
  • Conference dates: 31/05-02/06/2019
  • Call for papers to be included in the Proceedings: 15/09/2019

For any questions, please email to the Secreteriat, at esi-stat@hol.gr.

We hope to see you in Ioannina, Greece.

Chronis Moyssiadis
President

Prodromos Prodromidis
Secretary General

The course “Network Analysis, Inference, and Modeling NAIM 2019“, taught in English, presents an introduction and recent advances in statistical network modeling, with a special emphasis on main concepts of network analysis, sparse inference, high-dimensional data and graphical models. It will address theoretical, methodological as well as applied and practical aspects of this field.

October 6-11, 2019 – La Villa Clythia – CAES du CNRS, Fréjus, France