This week I uploaded a new version of the forecast package to CRAN. As there were a lot of changes, I decided to increase the version number to 6.0.
We are now advertising for various positions in applied statistics, operations research and applied mathematics.
These jobs are with MAXIMA (the Monash Academy for Cross & Interdisciplinary Mathematical Applications).
Please do not send any questions to me (I won’t answer). Click above and follow the instructions.
Big data is now endemic in business, industry, government, environmental management, medical science, social research and so on. One of the commensurate challenges is how to effectively model and analyse these data.
This workshop will bring together national and international experts in statistical modelling and analysis of big data, to share their experiences, approaches and opinions about future directions in this field.
This poem was written by David Goddard from the Monash University Department of Epidemiology and Preventive Medicine. It is reproduced here with his permission. The poem won the inaugural Monash University poetry competition and will soon be published in an anthology of contemporary poetry. Continue reading →
The International Association for Statistical Computing (IASC) is holding a Data Analysis Competition. Winners will be invited to present their work at the Joint Meeting of IASC-ABE Satellite Conference for the 60th ISI WSC 2015 to be held at Atlântico Búzios Convention & Resort in Búzios, RJ, Brazil (August 2–4, 2015). They will also be invited to submit a manuscript for possible publication (following peer review) to IASC’s official journal, Computational Statistics & Data Analysis. Continue reading →
I’m currently visiting Taiwan and I’m giving two seminars while I’m here — one at the National Tsing Hua University in Hsinchu, and the other at Academia Sinica in Taipei. Details are below for those who might be nearby. Continue reading →
Last night I gave a very short talk (less than 5 minutes) at the Melbourne Analytics Charity Christmas Gala, a combined event of the Statistical Society of Australia, Data Science Melbourne, Big Data Analytics and Melbourne Users of R Network.
This is (roughly) what I said. Continue reading →
Competitions have a long history in forecasting and prediction, and have been instrumental in forcing research attention on methods that work well in practice. In the forecasting community, the M competition and M3 competition have been particularly influential. The data mining community have the annual KDD cup which has generated attention on a wide range of prediction problems and associated methods. Recent KDD cups are hosted on kaggle.
In my research group meeting today, we discussed our (limited) experiences in competing in some Kaggle competitions, and we reviewed the following two papers which describe two prediction competitions:
- Athanasopoulos and Hyndman (IJF 2011). The value of feedback in forecasting competitions. [preprint version]
- Roy et al (2013). The Microsoft Academic Search Dataset and KDD Cup 2013.