Author archives

ECAS2019: Statistical Analysis for Space-Time Data, Lisbon, 15-17 July 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 ecas2019pt@gmail.com.

A poster session with contributed papers will complement the scientific program, but participants can attend the courses without presentation of posters.

Important dates:

  • 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

Irish Statistical Association Gosset lecture 2018

Professor Trevor Hastie
Professor Trevor Hastie

The ISA Gosset lecture 2018 will be delivered by Professor Trevor Hastie (Stanford University) in the Royal Irish Academy, 19 Dawson St., Dublin on Thursday 13th December at 6:00pm.

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.

EMOS Call for Applications

The third call for applications for new universities in the EU Member States, EFTA and EU candidate countries to join the European Master in Official Statistics (EMOS) is now published and closes on 30 June 2018.

EMOS builds on nationally accredited Master programmes which deliver upon the EMOS learning outcomes to familiarise the graduates with the system of official statistics, production models, statistical methods and dissemination. The programmes also collaborate actively with the National Statistical Institutes or other producers of official statistics for relevant master thesis topics and internships in the sphere of official statistics.

The third call of applications emphasises the importance of addressing the rapidly changing landscape from design based production of official statistics to integrating different kinds of data sources. Universities wishing to join the 23 already EMOS labelled Master programmes in 15 countries may submit by 30 June 2018 their applications complete with accompanying documents as described in the EMOS call text, guide for applicants and application form available at https://ec.europa.eu/eurostat/cros/content/emos_en.

Contact: estat-emos@ec.europa.eu

50th year of Statistics at TCD

TCD Statistics 50th

This year marked the 50th year of the discipline of Statistics at TCD. This special milestone was marked by a day of events on the 14th November. A short course on ‘Imprecise Probability’ took place in the morning. The course, sponsored by the Irish Statistical Association, was delivered by Dr. Cassio de Campos (Queen’s Belfast) and Dr. Alessandro Antonucci (Lugano, Switzerland). A special gathering was held in the afternoon bringing together former staff and students of the Statistics group, as well as current members of the School and College. The aim of the gathering was to be both retrospective and prospective; looking at our history with the help of former staff and students and discussing our future.

CASI 2018

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.

Invited speakers include Professor Paul R. Rosenbaum, Dr. Garrett Grolemund, Professor Maria L. Durbán Reguera and Professor Trevor Bailey.

Key Dates:

  • 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.

ISA Workshop: Frontiers in Functional Data Analysis

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.

Joint Summer School ERS-IASC, ECAS and SIS-CLADAG

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

Short Course: Imprecise Probability – A Gentle Overview

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 wyseja@tcd.ie.  Attendees are also invited to attend the celebration of the 50th year of the Statistics Department at Trinity College Dublin taking place afterwards.