A blog by Rob J Hyndman 

Twitter Gplus RSS

Posts Tagged ‘seminars’:


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!

 
No Comments  comments 

Tips for academic talks

Published on 10 January 2011

There is a nice post on Matt Might’s blog enti­tled “10 tips on how to give an aca­d­e­mic talk”. Check it out. He rec­om­mends the fol­low­ing two books by Joey Asher. See also my arti­cle on “Giv­ing an aca­d­e­mic talk”.

 
No Comments  comments 

Forecasting workshop: Switzerland, June 2011

Published on 6 December 2010

I will be run­ning a work­shop on Sta­tis­ti­cal Fore­cast­ing: Prin­ci­ples and Prac­tice in Switzer­land, 20–22 June 2011. Check out the venue: Wald­ho­tel Dold­en­horn, Kan­der­steg! So if you fancy a trip to the beau­ti­ful Swiss Alps next June, read on…

 
12 Comments  comments 

Data visualization videos

Published on 30 November 2010

Prob­a­bly every­one has seen Hans Rosling’s famous TED talk by now. If not, here it is: I recently came across a cou­ple of other excep­tional talks on data visu­al­iza­tion: Hans Rosling again: “Let my dataset change your mind­set”. If only all sta­tis­tics lec­tur­ers were this dynamic! David McCan­d­less: “The beauty of data visu­al­iza­tion”. Not so excit­ing as Hans, but some great exam­ples. And here’s an hour-​​​​length doc­u­men­tary hosted by Hans Rosling called “The Joy of Stats”.

 
3 Comments  comments 

Animated plots in R and LaTeX

Published on 13 October 2010

I like to use ani­mated plots in my talks on func­tional time series, partly because it is the only way to really see what is going on with changes in the shapes of curves over time, and also because audi­ences love them! Here is how it is done.

 
16 Comments  comments 

Attending research seminars

Published on 14 October 2009

Most research stu­dents don’t seem to attend sem­i­nars. When asked, they usu­ally say the sem­i­nars are not on their topic, or they don’t under­stand them, or they find them bor­ing, or some other sim­i­lar rea­son. I think this is because stu­dents don’t under­stand the pur­pose of research sem­i­nars, and have not learned how to lis­ten to them. Admit­tedly, many research sem­i­nars are badly pre­sented, and sem­i­nar speak­ers also fre­quently mis­un­der­stand the pur­pose of the sem­i­nar, which makes the prob­lem worse. In a pos­si­bly vain attempt to improve the sit­u­a­tion, here are some thoughts on attend­ing research sem­i­nars. First, some advice to speak­ers: under­stand that sem­i­nars are intended to pro­vide brief and infor­mal tasters of a wide range of research. Peo­ple will get the detailed and for­mal ver­sion of research in the pub­lished papers. But often an infor­mal expla­na­tion with­out the details is more acces­si­ble. Also, a speaker can pro­vide the back­ground overview that is often miss­ing in the pub­lished papers. Speak­ers need to realise that there is no need to present detailed proofs, tables, and tech­ni­cal­i­ties — a sem­i­nar is a very poor medium for pro­vid­ing details about sta­tis­ti­cal and econo­met­ric research. You have given a suc­cess­ful sem­i­nar if every­one in the audi­ence has some idea about what

(More)…

 
No Comments  comments 

The 7 secrets of highly successful PhD students

Published on 28 September 2009

It seems every­one has 7 secrets to suc­cess, and now some­one has hopped on the 7-​​​​secrets band­wagon with some­thing for PhD stu­dents. Thinkwell is an Aus­tralian com­pany offer­ing a sem­i­nar and asso­ci­ated work book on “The 7 secrets of highly suc­cess­ful PhD stu­dents”. I bought the book out of curios­ity, but “book” is a gross exag­ger­a­tion — only eleven pages of fairly sim­plis­tic advice. I hope the sem­i­nar has more sub­stance. For what it’s worth, here are the so-​​​​called seven secrets. Care and main­te­nance of your super­vi­sor. Write and show as you go. Be real­is­tic. Say no to dis­trac­tions. It’s a job. Get help. You can do it. If you can work out what is meant from those head­ings, you’re doing bet­ter than me. After read­ing the “book”, I think a bet­ter sum­mary would be as fol­lows. Meet reg­u­larly with your super­vi­sor. Write up your research ideas as you go. Have real­is­tic research goals. Beware of dis­trac­tions and other com­mit­ments. Set reg­u­lar hours and take hol­i­days. Make full use of the avail­able help. Per­se­vere. Noth­ing too sur­pris­ing there. Per­haps it should have been called “Seven obvi­ous things PhD stu­dents should already know”. If I haven’t put you all off, one of the authors is pre­sent­ing the sem­i­nar at Monash in a cou­ple of weeks. The

(More)…

 
No Comments  comments 

Giving a research seminar

Published on 7 May 2008

An expanded ver­sion of this post is avail­able in my arti­cle on “Giv­ing an aca­d­e­mic talk”.   With con­fer­ence sea­son almost upon us, it is timely to dis­cuss what makes a good con­fer­ence pre­sen­ta­tion. Here is a sug­gested struc­ture. A moti­vat­ing exam­ple demon­strat­ing the prob­lem you are try­ing to solve. Explain exist­ing approaches to the prob­lem and their weak­nesses. Describe your main con­tri­bu­tions. Show how your ideas solve the problem/​​example you started with. That won’t nec­es­sar­ily work for every talk, but it is a good place to start. In par­tic­u­lar, begin­ning with a moti­vat­ing exam­ple is much bet­ter than set­ting up the prob­lem alge­braically. Fur­ther sug­ges­tions: Use beamer with this tem­plate. Use a max­i­mum of 20 slides for a 20 minute con­fer­ence pre­sen­ta­tion. Assume the audi­ence knows about what you did at the start of your research in this area. That is, prob­a­bly not much. You can assume stan­dard mate­r­ial taught to under­grad­u­ates (regres­sion, ARIMA mod­els, etc.), but don’t assume they already know what you have spent long hours learn­ing on your own. Give only the most nec­es­sary math­e­mat­i­cal details. Peo­ple do not quickly absorb math­e­mat­i­cal equa­tions so don’t give any more than you have to. Never give proofs. When you do include some alge­bra, define all terms used. Why

(More)…

 
2 Comments  comments