We are pleased to announce that the 19th Applied Statistics 2023 will be held in Koper/Capodistria on September 24‒26, 2023. The event will be hosted by the Faculty of Mathematics, Natural Sciences and Information Technologies of the University of Primorska. For more information and to submit abstracts, visit https://as.mf.uni-lj.si.
Dear colleagues and friends
We are happy to announce that the 18th Applied Statistics Conference will take place on 19-21 September 2022 in Ljubljana. The event will be hosted at the Faculty of Social Sciences.
The International Applied Statistics conference is organised by Statistical Society of Slovenia and Faculties of University of Ljubljana (main supporters are Faculty of Social sciences and Faculty of Medicine).
The registration to the Applied Statistics conference is free of charge but registration to the event is required. The deadline for abstract submission is July 25. Please visit the web page of the conference https://statd.wordpress.com/applied-statistics-conference/as2022/ to submit your abstract and to register for the Conference.
The programme of the first two days will include two invited speakers, invited sessions and contributed oral and poster sessions. Wednesday September 22 will be devoted to the Workshop.
The invited speakers will be:
| Peter Filzmoser Vienna University of Technology, Austria | Robust linear and logistic regression for high-dimensional compositional data |
| Matthias Schmid University of Bonn, Germany | Competing risks methods for discrete time-to-event data |
The workshop “Generalized blockmodeling in R using blockmodeling package” will be held by Aleš Žiberna and Marjan Cugmas from University of Ljubljana on Wednesday 21 September.
We are looking forward to meeting in person again, bringing together leading experts in statistics, data analysts and other professionals from various statistical and related fields to present their research, discuss presentations online and learn from each other.
Kind regards
Lara Lusa and Irena Vipavc Brvar
for the scientific and organizing committees of the Applied Statistics Conference
| Abstract submission deadline | July 25 |
| Notification of acceptance | August 13 |
| Registration deadline for presenting authors | August 23 |
| Final registration | September 18 |
ESAC (European Statistical Advisory Committee) celebrates the European Statistics Day on the 20th October 2021 under the Motto
“Statistics, a vaccine to protect democracy and combat the virus of disinformation”
The European Democracy Action Plan 2019-2024, presented by the European Commission, highlighted the need to empower citizens and build more resilient democracies across the EU.
Democracies worldwide face the proliferation, similar to that of a virus, of false or biased information that potentially has the power to quickly destabilize democratic institutions and undermine citizens’ choices and trust.
Strengthening democratic resilience means tackling disinformation by having high-quality statistical data that citizens can fully trust, which the European Statistical System produces.
High-quality statistical data, supported by statistical methodologies based on recognised scientific criteria, provide essential information to support people, businesses, and organizations in taking appropriate decisions and actions.
In the information society we live in, it is vital to confront current and future social and environmental challenges with statistics that are widely used and understood. Recently, the COVID-19 pandemic has shown the high importance of being well informed and of having trustworthy and up-to-date data on which to base policy decisions to prevent the spread of the virus.
In summary, the heart of our message for European Statistics Day 2021 is the need to defeat disinformation by strengthening the production and use of high-quality statistical information with the highest standards of transparency and accountability, as a vital means of protecting freedom and democracy.
The EOSC Future project is looking for 200+ science champions to help co-design and finetune EOSC services and products.
Actors from all scientific fields are encouraged to apply online by 15 September.
EOSC Future is developing a so-called ‘system of systems’ to support European researchers in managing the entire lifecycle of data: from sharing, managing and exploiting their own data to discovering, re-using and recombining the data sets through professionally provided services. To guarantee that this cluster of products and services responds to researchers’ changing real-life needs, active user involvement is key.
That is why EOSC Future is looking for a diverse group of users and stakeholders to help co-create a trusted virtual data environment. Through the EOSC Future User Group, the project will assemble a team of “EOSC champions” from different scientific disciplines across the EU to help test and refine services and products. The User Group will rely on surveys, focus groups, or testbed sessions to validate project outputs.
How to apply
Find out more about eligibility criteria and expected contributions on the EOSC Portal and apply by 15 September 2021.
Kindly invited to the 17th Applied Statistics Conference, which will will take place on 20-22 September 2021 in the form of a fully virtual conference.
The registration to the Applied Statistics conference is free of charge but registration to the event is required. The deadline for abstract submission is July 25. Please visit the web page of the conference to submit your abstract and register for the Conference.
The programme of the first two days will include three invited speakers, invited sessions and contributed oral and poster sessions. Wednesday September 22 will be devoted to the Workshop.
The invited speakers will be:
| Jan Beyersmann (Ulm University, Germany) | On censoring (with a nod towards causality) |
| Anuška Ferligoj (University of Ljubljana, Slovenia) | Clustering of attribute and/or relational data |
| Richard De Veaux (Williams College, USA) | The Seven Deadly Sins of Data Science – and How to Avoid Them |
The workshop “SHARE dataset and analysis of nonstandard data: examples and applications” will be held by Andrej Srakar (Institute for Economic Research, Slovenia).
The conference will also incorporate the Third Meeting of the Young Statisticians Europe (YSE) initiative, which takes place in the framework of The Federation of European National Statistical Societies (FENStatS). YSE among other tasks also coordinates YoungStatS – the international blog and webinar project in statistics, supported by the Bernoulli Society of Mathematical Statistics and Probability and the Institute of Mathematical Statistics (IMS).
The International Applied Statistics conference is organised by Statistical Society of Slovenia and Faculties of University of Ljubljana (main supporters are Faculty of Social sciences and Faculty of Medicine).
We are looking forward to bringing together leading experts in statistics, data analysts and other professionals from various statistical and related fields to present their research, discuss presentations online and learn from each other.
Kind regards,
Lara Lusa and Irena Vipavc Brvar
for the scientific and organizing committees of the Applied Statistics Conference
| Abstract submission deadline | July 25 |
| Notification of acceptance | August 13 |
| Registration deadline for presenting authors | August 23 |
| Final registration | September 18 |
SSHOC (Social Sciences & Humanities Open Cloud) is organising a workshop on linking social survey and linguistic infrastructures through speech interviews.
Survey Infrastructures systematically interview tens of thousands of individuals across Europe each year. A large proportion of the information conveyed in an interview is lost if rhttps://sshopencloud.eu/espondent’s tone of voice, linguistic fluidity, and depth of vocabulary are not considered and analysed to provide insights about cognitive function, socio-economic status or verbal reasoning skills. Making use of this lost data requires the integration of social survey and linguistic infrastructures. SSHOC project seeks to provide both a proof of concept and a framework for future research of voice recorded interviews, as will be demonstrated in this webinar.
SSHOC Speech-to-text Workshop – Linking Social Survey and Linguistic Infrastructures through speech interviews will take place on 16 April, from 11:00 to 12:30 CEST.
Welcome to participate anyone interested in voice recordings, storage of data, sensitive data, and social science methodology.
More information:
https://sshopencloud.eu/events/sshoc-speech-text-workshop-linking-social-survey-and-linguistic-infrastructures-through
Twitter:
https://twitter.com/SSHOpenCloud/status/1375135061226500101/photo/1
V četrtek, 18. 3. 2021 ob 13:30 nizozemsko Združenje za statistiko in operacijske raziskave (Vereniging voor Statistiek en Operations Research – VVSOR) organizira online letno srečanje z naslovom ‘Going Viral – Modeling Spread’.
Srečanje bo v celoti potekalo v angleškem jeziku.
Več informacij na spletni stran https://www.vvsor.nl/articles/vvsor-annual-meeting-2021/
Twitter: https://twitter.com/VVS_OR
Vljudno vabljeni na predavanje v okviru biostatističnega centra, v torek, 20. oktobra 2020, ob 14:15 prek Zoom-a. Predaval bo prof. dr. Christian Genest iz McGill University (Kanada) na temo A gentle introduction to copula modeling.
Za razumevanje predavanj je dobrodošlo znanje diplomiranega matematika ali študenta višjih letnikov matematike.
Napoved:
In this talk, designed for a broad mathematical audience, Dr. Genest will describe a relatively new and highly popular way of modeling multivariate data using copulas. This approach, which has found countless successful applications in areas such as finance, insurance, environmental science and the medical field over the past 30 years, is more general and flexible than traditional regression analysis or Cox’s proportional hazards model. Dr. Genest, who is widely regarded as one of the founders and most prolific contributors to copula modeling, will cover the basics of model construction, estimation, and validation using rank-based techniques. He will also outline some of the current challenges in the field.
Ljubitelji matematike vljudno vabljeni!
Meeting ID: 930 8428 0457
Passcode: 568238
Dial by your location
+386 1888 8788 Slovenia
+386 1600 3102 Slovenia
+1 301 715 8592 US (Germantown)
+1 312 626 6799 US (Chicago)
+1 346 248 7799 US (Houston)
+1 669 900 6833 US (San Jose)
+1 929 436 2866 US (New York)
+1 253 215 8782 US (Tacoma)
Find your local number: https://uni-lj-si.zoom.us/u/aBSbEMC12
Data is rarely as straightforward as we hope or as we are usually taught. One of the biggest challenges I’ve faced in my academic career was analyzing the data from my Master’s research. Without this challenge, I’m not sure I would have developed such an interest in statistics or data science. My Master’s research addressed a problem that may seem simple on the surface: how do we quantify a certain type of defect in the surface of wood furniture? My task was to develop a method to measure a particular phenomenon, but my advisors hadn’t envisioned any particular challenges in analyzing the data once it was collected. Apart from the data collection challenges (which will be mentioned briefly), there were several challenges with the data. First, we weren’t sure which attribute to include in our model the number of defects detected or the size of the defects (does one matter more to customers?) – we had both count data and continuous data. Second, there were a lot of zeroes in our data – the defect didn’t always occur. Third, our experiment had mixed effects – not all features were evenly distributed across all specimens (we used a blocked split-plot design). Finally, our data was not parametric, making determining both point estimates and confidence intervals challenging – the eventual solution was bootstrapping. This presentation will introduce the real-world problem (cracks in decorative veneered plywood) along with the data collection methodology (digital image correlation), the experimental design challenges, and the analytical approach taken.
Related outputs:
| Predavatelj | doc. dr. Michael D. Burnard, InnoRenew CoE in Univerza na Primorskem, Inštitut Andrej Marušič |
| Naslov predavanja: | Lessons learned from using Tweedie’s compound Poisson model |
| Datum: | petek, 28. 2. 2020 ob 12:00 |
| Lokacija: | IBMI, Vrazov trg 2, Ljubljana |
Dear colleagues and friends,
We regret to announce, that due to the outbreak of the COVID-19
and the introduced uncertaintes Applied Statistics 2020 conference is postponed to 2021.
The conference is now scheduled for September 19 – 22, 2021.
The aim of the conference (organized yearly since 2004) is to bring together statisticians, working in diverse fields of statistics and its applications.
Conference details are available at http://conferences.nib.si/AS2020