Probability, random variables, and stochastic processes

Mentions per year

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• mnemonicsloth · Oct 28, 2007 · Mentions

  …you'll get an idea of what they're talking about. 3. Anything that involves sensors also involves noise. At my school, the first stage of the graduate CV track is a course based on [Papoulis & Pillai]'s Probability, Random Variables, and Stochastic Processes. 4. One of my classmates was involved in object modeling with manifolds. A manifold is basically an n-dimensional shape that follows mostly-Euclidean rules like a sphere, torus, or pretzel. I have…

  on “ComputerVisionWiki.org” ↗
• graycat · Apr 27, 2020 · Mentions

  …Blackman and Tukey, The Measurement of Power Spectra: From the Point of View of Communications Engineering. Can get more on the relevant wave forms, signals, stochastic processes from Athanasuis Papoulis, Probability, Random Variables, and Stochastic Processes, ISBN 07-048448-1. with more on the math of the relevant stochastic processes in a chapter of J. L. Doob, Stochastic Processes. Doob was long a leader in stochastic processes in the US and the professor…

  on “Ask HN: What scientific phenomenon do you wish someone would explain better?” ↗
• nextos · Jan 20, 2023 · Mentions

  …Chung. His more advanced book is really famous, but has a measure-theoretic approach and that's not very practical unless you are interested in developing theories a bit further. Taleb is really fond of Probability, Random Variables and Stochastic Processes by Papoulis. But I find the typesetting in later editions to be really disorganized and confusing. Take a look. It's a good alternative to the first Chung book.

  on “Ask HN: Math books that made you significantly better at math?” ↗
• aalhour · Jul 21, 2020 · Mentions

  Hello HN, What would be a good alternative text to the "Probability, Random Variables, and Stochastic Processes" book? I couldn't find it for a cheap price in Europe (~90 eur). Link: https://www.amazon.de/dp/0071226613/

  on “Ask HN: Alternatives to “Probability, Random Variables and Stochastic Processes”” ↗