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 Secretary of the ISA.
Events relating to the ISA
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.
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
The ISA sponsored short course "Imprecise Probability - A Gentle Overview" will be delivered by Cassio P. de Campos (Reader, Centre for Data Science and Scalable Computing, Queen's University Belfast) and Alessandro Antonucci (Senior Researcher, Swiss AI Lab IDSIA). Hosted by Trinity College Dublin, the course will take place on Tuesday November 14th 2017 at 9.00am in the Yeats Suite of the O'Callaghan Mont Clare Hotel, Merrion Street Lower, Dublin 2.
Registration (which includes coffee breaks and lunch) is €20 for students and €30 otherwise. There is also a 50% discount for ISA members. More details can be found at http://stats50.scss.tcd.ie/#/isa. To register for this course, please email email@example.com. Attendees are also invited to attend the celebration of the 50th year of the Statistics Department at Trinity College Dublin taking place afterwards.
Insight Statistical Consulting are running their next R training course on the following dates in September:
- Day 1: Wednesday 27th - Introduction to R Course
- Day 2: Thursday 28th - Advanced R Course
- Day 3: Friday 29th - New Developments in R
Academic Rate (Full Time Lecturers and Students) is €300 Each Day, with Business Rate €400 Each Day. Full Details can be found here:
The ISA Gosset lecture 2017 will be delivered by the distinguished Professor David Hand OBE (Imperial College London) in the Royal Irish Academy, 19 Dawson St., Dublin on April 6th at 6:00pm.
Please note tickets are required. These are available free of charge at https://www.eventbrite.ie/e/isa-gosset-lecture-2017-tickets-32088704178
The dangers of not seeing what isn’t there: selection bias in statistical modelling.
In general, in statistics and data science, more is better in the sense that larger data sets mean that smaller effects can be detected and more confidence can be placed in any statistical conclusions. But this is only true if we have confidence that the data represent the underlying reality fairly. All too often the available data have undergone unobserved selection or distortion processes, which can mean they are potentially misleading. This applies in human interactions - where it has been suggested that the notion that ‘data=all’ can replace the need for careful theorising and statistical modelling - but also in the hard sciences and medicine.This talk gives examples of such cases, showing how ignorance of selection mechanisms has led to mistakes and even disasters. These mechanisms are described, and strategies for tackling the problem are outlined.This event is run in partnership with the Irish Statistical Association. It will be followed by a reception partially sponsored by Diageo.
37th Conference on Applied Statistics Ireland, 15-17th May, 2017
The 37th Conference on Applied Statistics in Ireland will take place in Bloomfield House Hotel, Mullingar from May 15-17. Registration is now open as is abstract submission at www.casi.ie.
The conference is being organized this year by the Statistics group of the School of Mathematics and Statistics UCD.
Please submit your abstracts as soon as possible. On behalf of the organising committee I extend a warm welcome to all potentail participants.
Chair of the local organizing committee
CASI 2017 Organizing Committee: Andrew Parnell, Claire Gormley, Kate O'Hanlon, Brendan Murphy, Nial Friel, Adrian O'Hagan, Damien McParland, Patrick Murphy, Vasiliki Dimitrakopoulou, Michelle Carey, Michael Salter-Townshend, Gabrielle Kelly.