2018. gada 21.-24. augustā Latvijā, Jelgavā notiks apsekojumu statistikai veltīts starptautisks seminārs. Šī gada semināra galvenā tēma ir “Administratīvajos datos balstīta tautas skaitīšana” (Population census based on administrative data). Seminārā tiks prezentētas arī citas ar apsekojumu statistisku saistītas tēmas. Semināra galvenie lektori būs prof. Li-Chun Zhang (Sauthemptonas Universitāte, Norvēģijas Statistika) un Dr. Anders Holmberg (Norvēģijas Statistika).

Semināru organizē Centrālā statistikas pārvalde sadarbībā ar Latvijas Universitātes Biznesa, vadības un ekonomikas fakultāti un Latvijas Lauksaimniecības universitātes Ekonomikas un sabiedrības attīstības fakultāti. Semināra sponsori ir Starptautiskā apsekojumu statistiķu asociācija (International Association of Survey Statisticians), Nordplus augstākās izglītības programma (Nordplus Higher Education program) un Centrālā statistikas pārvalde. Seminārs tiek rīkots Baltijas-Ziemeļvalstu-Ukrainas apsekojumu statistikas sadarbības tīkla ietvaros.

Plašāka informācija par semināru ir pieejama semināra mājas lapā: http://home.lu.lv/~pm90015/workshop2018/. Interesentiem par dalību seminārā lūgums sazināties ar Mārtiņu Libertu (martins.liberts@csb.gov.lv) vai Jāni Lapiņu (janis.lapins@bank.lv).

Attēla avots: No Photo, Only Video

Kursu programma “European Courses in Advanced Statistics” piedāvā augsta līmeņa kursus “Statistical Disclosure Control for Official Statistics“, kas notiks 2018. gada 20.-22. februārī Francijā.

This three day course will introduce basic and advanced concepts of statistical disclosure control, privacy and confidentiality. The topics covered include the motivation of statistical disclosure control in terms of disclosure risk scenarios and types of disclosure risk; measuring disclosure risk for traditional outputs: microdata and tabular data; common methods of statistical disclosure control applications; the impact of statistical disclosure control methods on utility. In addition, we introduce differential privacy which is a definition arising in computer science which provides formal and quantifiable guarantees of disclosure risk. This definition is becoming more important to statistical agencies who are moving towards more advanced and online modes of data dissemination. The course also covers legal and ethical issues, examples of best practice and applications in statistical offices or health authorities, as well as workshops on differential privacy, anonymisation and controlled access and generating synthetic data.

This is an exciting and unique course bringing together experts around the world to deliver the latest developments in privacy and confidentiality which will be pitched at the post-graduate level and for those working at statistical agencies.

By the end of this course, participants will understand the motivation of statistical disclosure control and the issues in applying statistical disclosure control methods in order to protect the confidentiality of respondents. Participants should be able to evaluate and critique the different statistical disclosure control methods depending on the type of statistical output with respect to the amount of protection afforded and the impact on the utility of the protected data. Participants should understand the definition of differential privacy and how it can be used for guaranteeing the confidentiality of statistical data. Participants should be able to apply advanced methods of statistical disclosure control based on new platforms of data dissemination.

Informācija par kursiem

27. Ziemeļvalstu matemātiskās statistikas konference NORDSTAT 2018 notiks Tartu, Igaunijā, 2018. gada 26.-29. jūnijā.

Apstiprināti konferences lektori:

  • Aad van der Vaart (Leiden University)
  • Steffen Lauritzen (University of Copenhagen)
  • Håvard Rue (King Abdullah University of Science and Technology)
  • Hermann Thorisson (University of Iceland)
  • Pauliina Ilmonen (Aalto University)
  • Filip Lindskog (Stockholm University)
  • Tõnu Kollo (University of Tartu)

The conference is hosted by The Institute of Mathematics and Statistics, University of Tartu, and will take place at Dorpat Convention Centre in the centre of Tartu.

NORDSTAT is a biennial conference in mathematical statistics with long traditions, which offers excellent opportunities for exchanging research experiences.

Registration and abstract submission will open on February 1, deadline for abstract submission is April 2, 2018.

Conference homepage: http://nordstat2018.ut.ee
Contact: nordstat2018@ut.ee

Ir iespēja piedalīties kursos, kurus organizē “EUROPEAN COURSES in ADVANCED STATISTICS”- ECAS – 2017. gada 19. oktobrī, Francijā. Par kursiem nav jāmaksā. Reģistrācija kursiem ir iespējama zemāk norādītajā mājaslapā līdz 2017. gada 2. oktobrim.

IRSDI-ECAS Course Generalized Additive Modelling: from classical to distributed environments (satellite event of a 1-day Workshop on Individual Consumers of Electricity) October 19-20 2017, Paris-Saclay.

Sīkāka informācija mājaslapā EDF https://eric.univ-lyon2.fr/iec/.