Talk:David Salsburg

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TBBT[edit]

Is he the consultant for the show 'the big bang theory'? —Preceding unsigned comment added by Paranoidhuman (talk • contribs) 16:27, 24 July 2009 (UTC)[reply]

No. The other David is David Saltzberg: http://the-big-bang-theory.com/saltzberg.interview/ . . . Charles Edwin Shipp (talk) 21:43, 27 July 2011 (UTC)[reply]

Establishing notability for David Salsburg[edit]

At the top of the Article is a box encouraging "establishing notability" per guidelines.

David Salsburg was key in establishing credibility in the field of statistics. His book highlights a dozen statisticians. He has been chosen as the keynote speaker for the JMP Discovery Summit to be held in Denver, Sept 15-17. Some of the details of his life and career are noted on the JMP blog website. http://blogs.sas.com/jmp/ Here is a snippet from the interview with David Salsburg. You can read it all.

Monday, July 25. 2011 Meet Keynote Speaker David Salsburg ::: On Thursday, Sept. 15, at Discovery Summit in Denver, our keynote speaker will be David Salsburg, who wrote the book The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century. David has had an impressive career that includes academia, industry and writing books.

He was the highest rated speaker at a data mining conference that SAS put on a few years back, and I just love his attitude that "statistics is fun," as he says in his interview below. Conference attendees will have an opportunity to meet David at a book signing around lunchtime on the day of his speech, which has engendered some jealousy on the part of one our JMP colleagues. Every time he sees a copy of The Lady Tasting Tea on one of our desks, he tells us he wishes he were going to Discovery Summit so that he could meet David.

I recently "chatted" with David via email about his book, analytics and his work, and here's our exchange:

Arati: You’ve given a lot of speeches or talks. Tell me about one you particularly enjoyed and what made it so memorable.
David Salsburg: When I left academia (back in 1967), I had been used to constructing sophisticated elaborate mathematical structures on well-defined data, which consisted of short vectors of many independent observations. In industry, I discovered that “real” data doesn’t look at all like that. In drug research, for instance, patients may or may not come to the clinic when they are supposed to. Measurements are taken on them, sometimes multiple measurements of the same thing. They are poked and prodded, X-ray beams course through them, along with catheters, all of them measuring a huge collection of highly interdependent data.

So, I went back to my colleagues in academia with a talk I titled, “The Curse of Dimensionality,” borrowing the phrase from Richard Bellman. At one school, the department secretary who was putting together the notices realized that this was a typo and corrected it to “The Curves of Dimensionality.” As a result, several people came to the seminar expecting some sophisticated calculations in differential geometry and found themselves buried in the muck of real data instead.

The interview continues. This is very notable in the field of statistics! . . . Charles Edwin Shipp (talk) 00:04, 27 July 2011 (UTC)[reply]