The ISA runs courses and workshops on a regular basis. These aim to bring the best of theoretical and applied statistics to academic, industrial and Public Service statisticians and to statistics students. We support crosscutting workshops linking statistics to applications areas. ISA members enjoy a discount to attend. If you would like to organize a course or workshop and wish it to be considered for inclusion in ISA events please complete the attached form and return it to the ISA Education Officer (email@example.com)
Events relating to the ISA
Novel Applications of Statistical Methods
- Date: Friday June 28, 2019
- Location: University College Cork
- Duration: 10:00-16:30
There is no charge for attending the workshop. Priority will be given to ISA members in the case of over subscription. To register your interest, email firstname.lastname@example.org by Friday June 14, 2019. Please ensure “ISA-short course: NASM” appears in the subject line. Your place at the workshop will be confirmed via return email.
The invited speakers are:
- Prof. John Hinde (National University of Ireland, Galway): Count Data Regression Models: Properties, Applications and Extensions
- Prof. Sally McClean (Ulster University): Process Modelling, Process Mining and Big Data
- Dr. Cóilín Minto (Galway-Mayo Institute of Technology): Challenges of missing data in fisheries science
- Dr. Amirhossein Jalali (University College Dublin): Interactive tools in data and model visualisation
- Dr. Kevin Hayes (University College Cork): Evaluating the utility of effect size based inference
The RSS 2019 International Conference will take place at the Waterfront International Convention Centre in Belfast from 2nd - 5th September 2019. Further details about the conference can be found here.
Call for Invited Sessions – Submission Deadline Monday 26th November
The RSS Conference Board is keen to receive proposals for sessions for the RSS 2019 International Conference which cover new research and results, areas of controversy/debate, topical discussion, and informative and innovative case studies. Every year, over 600 statisticians and data scientists gather from all sectors and from over 30 countries to share information and network, attracted by a varied programme of talks and workshops. Further information on the call for invited session proposals can be found here.
The ECAS 2019 school on Network Analysis, Inference, and Modeling (NAIM), organized by the French Statistical Society (SFdS), will take place in Fréjus, France, on 6-11 October, 2019.
Registration is now open: https://www.sfds.asso.fr/fr/ecas/632-home/.
It will present 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.
School of Computer Science and Statistics at Trinity College Dublin, is pleased to host the 39th Conference on Applied Statistics in Ireland from Wednesday 15th May to Friday 17th May, 2019 in the Ballymascanlon House Hotel Golf and Leisure Club located a short distance (2 miles) north of Dundalk. Co. Louth See www.casi.ie for further details.
Invited speakers include Dr. Louis Aslett (University of Durham), Prof. Simon Wood (University of Bristol), Prof. Richard Samworth (University of Cambridge), Prof. John Quigley (University of Strathclyde), and Prof. Ruth King (University of Edinburgh).
- Early bird registration opens: Monday January 28th 2019.
- Early bird registration closes: Monday April 15th 2019.
- Call for papers opens: Monday January 28th 2019.
- Call for papers closes: Friday March 22nd 2019.
The European Courses in Advanced Statistics (ECAS) are intended to achieve postgraduate training in special areas of statistics and addressed for (especially 1st-year) PhD students, researchers, teachers at universities, and professionals.
The ECAS2019 on Statistical Analysis for Space-Time Data, takes place in Lisbon, Portugal, on 15-17 July 2019, and is a great opportunity to attend four courses lectured by renowned experts in the field: Adrian Baddely (Curtin University, Australia), Patrick Brown (University of Toronto, Canada), Liliane Bel (AgroParisTech, France), and Haavard Rue (King Abdullah University of Science and Technology, Saudi Arabia). See https://ecas2019.math.tecnico.ulisboa.pt/ for further details or contact email@example.com.
A poster session with contributed papers will complement the scientific program, but participants can attend the courses without presentation of posters.
- Registration and abstract submission beginning: 1 October 2018
- Abstract submission deadline: 26 April 2019
- Notification of acceptance: 24 May 2019
- Early registration: 31 May 2019
- Registration deadline: 21 June 2019
Title: Statistical Learning with Big Data
Abstract: As our ability to gather and store data improves, we are faced with the task of analysing these ever-growing mounds of information. This has required Statisticians to gain computing and database skills, and Engineers and Computer Scientists to learn statistical modelling and data analysis. The result is a data scientist, one of the hottest job-descriptions in the tech world. In this talk I will give some examples of big data and data-science challenges, and explore some approaches in detail.
Please note tickets are required. These are available free of charge at https://www.eventbrite.com/e/gosset-lecture-2018-tickets-50225732518
In the event of over subscription, admission will be on a first come first served basis on the night.
A reception will follow the talk.
The Statistics Group in the School of Mathematics, Statistics and Applied Mathematics, NUI Galway is pleased to host the 38th Conference on Applied Statistics in Ireland from Wednesday May 16th to Friday May 18th, 2018 in the Galway Bay Hotel on Galway’s main Promenade. See www.casi.ie for further details.
- Early bird registration opens: Monday January 22nd 2018.
- Early bird registration closes: Friday March 9th 2018.
- Call for papers opens: Monday January 22nd 2018.
- Call for papers closes: Friday March 9th 2018.
The ISA sponsored workshop "Frontiers in Functional Data Analysis" will bring together the international acclaimed founder of functional data analysis Prof. James O. Ramsay and leaders in this field in Ireland to present and discuss recent progress in FDA, and to identify important challenges for the future. Dr Michelle Carey (UCD) will also deliver a 2-hour masterclass on parameter estimation for differential equations using semi-parametric penalized regression.
The workshop will take place on Friday March 9th 2018 from 9am-5pm at O'Brien Centre for Science, University College Dublin, Belfield, Dublin 4, Dublin.
Register your attendance at the following link: registration (note that registration is free). Closing date for registration is February 1st 2018.
Clustering, Data Analysis and Visualization of Complex Data
May 21-25, 2018, Catania (Italy)
The course is intended to achieve postgraduate training in special areas of statistics for both researchers and professional data analysts. The focus is on classification and clustering methods, in conjunction with related visualization techniques, with particular emphasis on modern high-dimensional data sets (MHDS). MHDS have recently emerged because of the fast improvement in data acquisition, storage and processing. The availability of massive data sets are of large interest also in machine learning, data science and computer science. It applies in many contexts such as biological experiments, financial markets, astronomy, etc. Classification and clustering play a key role in this new paradigm to discover the inhomogeneous structure often underlying these data, and become consequently even more emblematic methods of modern data analysis. Starting from basic concepts, the course will introduce the audience to novel techniques and software through extensive applications to real data.
Numerical applications will be performed through a variety of software, including some R packages and some cloud-computing platforms (SaaS, Software as a Service) issuing from research but targeting many kinds of practitioners