# Software for honours students

I spoke to our new crop of honours students this morning. Here are my slides, example files and links. Continue reading →

# Nominations for IJF Best Paper 2012-2013

The following papers have been nominated for the best paper published in the International Journal of Forecasting in 2012-2013. I have included an excerpt from the nomination in each case. The papers in bold have been short-listed for the award, and the editorial board are currently voting on them. Continue reading →

# Paperpile makes me more productive

One of the first things I tell my new research students is to use a reference management system to help them keep track of the papers they read, and to assist in creating bib files for their bibliography. Most of them use Mendeley, one or two use Zotero. Both do a good job and both are free.

I use neither. I did use Mendeley for several years (and blogged about it a few years ago), but it became slower and slower to sync as my reference collection grew. Eventually it simply couldn’t handle the load. I have over 11,000 papers in my collection of papers, and I was spending several minutes every day waiting for Mendeley just to update the database.

Then I came across Paperpile, which is not so well known as some of its competitors, but it is truly awesome. I’ve now been using it for over a year, and I have grown to depend on it every day to keep track of all the papers I read, and to create my bib files. Continue reading →

# What to cite?

This question comes from a comment on another post:

I’ve seen authors citing as many references as possible to try to please potential referees. Many of those references are low quality papers though. Any general guidance about a typical length for the reference section?

It depends on the subject and style of the paper. I’ve written a paper with over 900 citations, but that was a review of time series forecasting over a 25 year period, and so it had to include a lot of references.

I’ve also written a paper with just four citations. As it was a commentary, it did not need a lot of contextual information.

Rather than provide guidance on the length of the reference section, I think it is better to follow some general principles of citation in research. Continue reading →

# Nominations for best International Journal of Forecasting paper, 2012-2013

Every two years, the International Journal of Forecasting awards a prize for the best paper published in a two year period. It is now time to identify the best paper published in the IJF during 2012 and 2013. There is always about 18 months delay after the publication period to allow time for reflection, citations, etc. The prize is US\$1000 plus an engraved plaque. Continue reading →

# RSS feeds for statistics and related journals

I’ve now resurrected the collection of research journals that I follow, and set it up as a shared collection in feedly. So anyone can easily subscribe to all of the same journals, or select a subset of them, to follow on feedly. Continue reading →

# IJF review papers

Review papers are extremely useful for new researchers such as PhD students, or when you want to learn about a new research field. The International Journal of Forecasting produced a whole review issue in 2006, and it contains some of the most highly cited papers we have ever published. Now, beginning with the latest issue of the journal, we have started publishing occasional review articles on selected areas of forecasting. The first two articles are:

1. Electricity price forecasting: A review of the state-of-the-art with a look into the future by Rafał Weron.
2. The challenges of pre-launch forecasting of adoption time series for new durable products by Paul Goodwin, Sheik Meeran, and Karima Dyussekeneva.

Both tackle very important topics in forecasting. Weron’s paper contains a comprehensive survey of work on electricity price forecasting, coherently bringing together a large body of diverse research — I think it is the longest paper I have ever approved at 50 pages. Goodwin, Meeran and Dyussekeneva review research on new product forecasting, a problem every company that produces goods or services has faced; when there are no historical data available, how do you forecast the sales of your product?

We have a few other review papers in progress, so keep an eye out for them in future issues.