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  2. Project Tuva - Wikipedia

    en.wikipedia.org/wiki/Project_Tuva

    According to his video introduction, Gates saw the lectures when he was younger. [2] He enjoyed the physics concepts and Feynman's lecturing style, and later acquired the rights to make the video available to the public. He hopes that this will encourage others to make educational content available for free. [3]

  3. Po-Shen Loh - Wikipedia

    en.wikipedia.org/wiki/Po-Shen_Loh

    Loh is a prolific creator of expository math videos on YouTube under the channel name Daily Challenge with Po-Shen Loh. He has also made many appearances on other math-related channels, which have collectively been viewed millions of times. [18] Loh's videos have been praised for their attractive diagrams and high quality. [19]

  4. Leonard Susskind - Wikipedia

    en.wikipedia.org/wiki/Leonard_Susskind

    Leonard Susskind (/ ˈ s ʌ s k ɪ n d /; born June 16, 1940) [2] [3] is an American theoretical physicist, Professor of theoretical physics at Stanford University and founding director of the Stanford Institute for Theoretical Physics.

  5. Concentration inequality - Wikipedia

    en.wikipedia.org/wiki/Concentration_inequality

    The simplest example of the concentration of such a secondary random variable is the CDF of the first random variable which concentrates the probability to unity. If an analytic form of the CDF is available this provides a concentration equality that provides the exact probability of concentration. It is precisely when the CDF is difficult to ...

  6. The Character of Physical Law - Wikipedia

    en.wikipedia.org/wiki/The_Character_of_Physical_Law

    The lectures covered the following topics: The law of gravitation, an example of physical law; The relation of mathematics and physics; The great conservation principles; Symmetry in physical law; The distinction of past and future; Probability and uncertainty - the quantum mechanical view of nature; Seeking new laws

  7. Continuous mapping theorem - Wikipedia

    en.wikipedia.org/wiki/Continuous_mapping_theorem

    In probability theory, the continuous mapping theorem states that continuous functions preserve limits even if their arguments are sequences of random variables. A continuous function, in Heine's definition, is such a function that maps convergent sequences into convergent sequences: if x n → x then g(x n) → g(x).

  8. Ole Barndorff-Nielsen - Wikipedia

    en.wikipedia.org/wiki/Ole_Barndorff-Nielsen

    A follow-up to the film was produced in 2011 on the studies of stochastics in the physical sciences carried out by Barndorff-Nielsen and colleagues at the Faculty of Science, Aarhus University by the initiative of the President of the Bernoulli Society for Mathematical Statistics and Probability, Professor Victor Pérez-Abreu. [4]

  9. Lévy distribution - Wikipedia

    en.wikipedia.org/wiki/Lévy_distribution

    In probability theory and statistics, the Lévy distribution, named after Paul Lévy, is a continuous probability distribution for a non-negative random variable. In spectroscopy, this distribution, with frequency as the dependent variable, is known as a van der Waals profile. [note 1] It is a special case of the inverse-gamma distribution.