Being a Statistician

“The best thing about being a statistician is that you get to play in everyone’s backyard.”—John Tukey

Being a statistician, work on a diverse range of problems, many of which come from real scientific issues: the challenge of analyzing experimental data or of constructing a stochastic model to explain the experimental puzzles. Along the way, get the chance to learn some science.

Advice for PhD students from Professor Samuel Kou:

Follow the heart, not the trend. I think only by doing what you love to do, by listening to your heart, can you proceed forward and enjoy the process and the fruits in the long run. I feel it is worth keeping in mind that what is hot right now might not be so hot five or ten years down the line.

A statistician is like a nineteenth-century mathematician: on one hand they were working on problems in mechanics, fluid dynamics, optics, astronomy, etc., and on the other hand, they were working on theories, structures and methods. In the modern world, statistics is one of the very few disciplines that still enjoys such interplay.—Samuel Kou

Big Issue on Big Data

The following four big issues related with big data are really taking the big four aspects into consideration:

• Jelani Nelson, “Sketching and streaming algorithms for processing massive data”
• Ronitt Rubinfeld, “Taming big probability distributions”
• Jeff Ullman, “Designing good MapReduce algorithms”
• Ashwin Machanavajjhala and Jerome P. Reiter, “Big Privacy”

From XRDS.

And how to deal with the above four big issues? Here is a post about the Five Trendy Open Source Technologies to help you to deal with big data.

GAW18

I just attended GAW18, which was held October 13-17, 2012 at the Skamania Lodge in the beautiful Colombia River Gorge, Stevenson WA. It is a good experience for me and I think I will come back later to talk more about what I have learned from there.