A blog by Rob J Hyndman 

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Posts Tagged ‘seminars’:


European talks. June-​​July 2014

Published on 14 June 2014

For the next month I am trav­el­ling in Europe and will be giv­ing the fol­low­ing talks. 17 June. Chal­lenges in fore­cast­ing peak elec­tric­ity demand. Energy Forum, Sierre, Valais/​​Wallis, Switzer­land. 20 June. Com­mon func­tional prin­ci­pal com­po­nent mod­els for mor­tal­ity fore­cast­ing. Inter­na­tional Work­shop on Func­tional and Oper­a­to­r­ial Sta­tis­tics. Stresa, Italy. 24–25 June. Func­tional time series with appli­ca­tions in demog­ra­phy. Hum­boldt Uni­ver­sity, Berlin. 1 July. Fast com­pu­ta­tion of rec­on­ciled fore­casts in hier­ar­chi­cal and grouped time series. Inter­na­tional Sym­po­sium on Fore­cast­ing, Rot­ter­dam, Netherlands.

 
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Creating a handout from beamer slides

Published on 11 June 2014

I’m about to head off on a speak­ing tour to Europe (more on that in another post) and one of my hosts has asked for my pow­er­point slides so they can print them. They have made two false assump­tions: (1) that I use pow­er­point; (2) that my slides are sta­tic so they can be printed. Instead, I pro­duced a cut-​​​​down ver­sion of my beamer slides, leav­ing out some of the ani­ma­tions and other fea­tures that will not print eas­ily. Then I pro­duced a pdf file with sev­eral slides per page.

 
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Automatic time series forecasting in Granada

Published on 31 January 2014

In two weeks I am pre­sent­ing a work­shop at the Uni­ver­sity of Granada (Spain) on Auto­matic Time Series Fore­cast­ing. Unlike most of my talks, this is not intended to be pri­mar­ily about my own research. Rather it is to pro­vide a state-​​​​of-​​​​the-​​​​art overview of the topic (at a level suit­able for Mas­ters stu­dents in Com­puter Sci­ence). I thought I’d pro­vide some his­tor­i­cal per­spec­tive on the devel­op­ment of auto­matic time series fore­cast­ing, plus give some com­ments on the cur­rent best practices.

 
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Slides from my online forecasting course

Published on 23 January 2014

Last year I taught an online course on fore­cast­ing using R. The slides and exer­cise sheets are now avail­able at www​.otexts​.org/​f​p​p​/​r​e​s​o​u​rces/

 
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Forecasting with R

Published on 26 September 2013

The fol­low­ing video has been pro­duced to adver­tise my upcom­ing course on Fore­cast­ing with R, run in part­ner­ship with Rev­o­lu­tion Analytics.

 
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Online course on forecasting using R

Published on 11 September 2013

I am team­ing up with Rev­o­lu­tion Ana­lyt­ics to teach an online course on fore­cast­ing with R. Top­ics to be cov­ered include sea­son­al­ity and trends, expo­nen­tial smooth­ing, ARIMA mod­el­ling, dynamic regres­sion and state space mod­els, as well as fore­cast accu­racy meth­ods and fore­cast eval­u­a­tion tech­niques such as cross-​​​​validation. I will talk about some of my con­sult­ing expe­ri­ences, and explain the tools in the fore­cast pack­age for R. The course will run from 21 Octo­ber to 4 Decem­ber, for two hours each week. Par­tic­i­pants can net­work and inter­act with other prac­ti­tion­ers through an online community.

 
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Removing white space around R figures

Published on 22 February 2013

When I want to insert fig­ures gen­er­ated in R into a LaTeX doc­u­ment, it looks bet­ter if I first remove the white space around the fig­ure. Unfor­tu­nately, R does not make this easy as the graphs are gen­er­ated to look good on a screen, not in a doc­u­ment. There are two things that can be done to fix this problem.

 
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Man vs Wild Data

Published on 21 December 2012

I’m speak­ing on this topic at the Young Sta­tis­ti­cians Con­fer­ence, 7–8 Feb­ru­ary 2013. If you’re a young sta­tis­ti­cian and live in Aus­tralia, please book in. It promises to be a great cou­ple of days. Early reg­is­tra­tions close on 2 Jan­u­ary. Abstract for my talk: For 25 years I have been an intre­pid sta­tis­ti­cal con­sul­tant, tack­ling the wild fron­tiers of real data, real prob­lems and real time con­straints. I have faced prob­lems rang­ing from lin­guis­tics to river beds, from mak­ing paper plates to sell­ing pies at the MCG, from tax office audits to sur­veys about the colour pur­ple. Uni­ver­sity edu­ca­tion helps pre­pare you to be a sta­tis­ti­cal con­sul­tant in the same way that Google maps helps pre­pare you to cross the Simp­son Desert. You have some idea of the main fea­tures, but when you get there, noth­ing looks famil­iar. I will describe some of my adven­tures, and explain how to bluff your way through igno­rance, work with inad­e­quate tools, and deal with smelly clients. I will tell you the story of the client who wouldn’t give me the data, the client who wouldn’t tell me the prob­lem, and the client who wanted all meet­ings held at ran­dom loca­tions for secu­rity rea­sons. Along the way we will learn about the skills that

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Bare bones beamer

Published on 1 August 2012

Beamer is far and away the most pop­u­lar soft­ware for pre­sen­ta­tions amongst researchers in math­e­mat­ics and sta­tis­tics. Most con­fer­ence and sem­i­nar talks I attend these days use beamer. Unfor­tu­nately, they all look much the same. I think peo­ple find beamer themes too hard to mod­ify eas­ily, so a small num­ber of tem­plates get shared around. Even the oth­er­wise won­der­ful LaTeX Tem­plates site has no beamer exam­ples. The beamer user guide explains how to make changes but it is not for the faint-​​​​hearted (although it is a fan­tas­tic resource once you have some exper­tise). So I thought it might be use­ful to pro­duce a very sim­ple beamer tem­plate that is easy to extend and modify.

 
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Six places left for the forecasting workshop

Published on 11 January 2011

There are six places left for the fore­cast­ing work­shop I am giv­ing in Switzer­land in June. If you were think­ing of going, book in fast!

 
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