January 2012
Intermediate to advanced
384 pages
8h 36m
English
Content preview from Tail Risk Killers: How Math, Indeterminacy, and Hubris Distort MarketsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Acknowledgments
For knowing the world held more for me than where I came from: thanks Mom. Thank you Professor Stephen Montgomery-Smith, who helped me write a cubic spline interpolation algorithm in Mathematica in my formative years: you got me interested, and look where it led. To Larry “the Liquidator” Groves: thanks for letting me interrogate you about the old days. Thank you, Sandy Latham, for nursing my beat-up ego. Linda Hongling Xu deserves a big thank you for reading about probability, gambling, and invertible systems when she didn’t always want to. Thanks to my kids, Faith, Isaac, and Ben for cautioning me to not be too serious in my writing.
Thanks to all the colleagues, bosses, and competitors that made me smarter. Thanks to the bloggers ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.