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  2. Risk and Humanities

    Duration: 01:07:29
    Published Date: 2010/02/18
    Darwin College Lecture Series 2010. "Risk and Humanities". Professor Mary Beard (Cambridge). Was there risk before modernity? This lecture explores how we might tell the ancient history of risk—from oracles (an ancient form of risk assessment) through gambling and agricultural strategies to the parade of Luck and Chance in sculptural form. In Greece and Rome (and other pre modern societies) is
  3. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/A_STAR_Talk_2020.pdf
    11 Sep 2021: Applications of random number generators. Require a random number: gambling and cryptography.
  4. DOMINANT STRATEGIES IN STOCHASTIC ALLOCATION AND SCHEDULING PROBLEMS…

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%20-%20Nash%201982%20Dominant%20strategies%20in%20stochastic%20allocation%20and%20scheduling%20problems.pdf
    18 Sep 2011: The condition is used to establish the nature of the optimal strategies for problems of customer assignment, dynamic memory allocation, optimal gambling, maintenance and scheduling. ... Example 3. Optimal Gambling. Ross [8J considers a problem of
  5. THE THEORY OF OPTIMAL STOPPING RICHARD Re WEBER DOWNING ...

    www.statslab.cam.ac.uk/~rrw1/publications/The%20theory%20of%20optimal%20stopping%20(Part%20III%20essay).pdf
    21 Oct 2011: of random sequences in gambling and statistical decision. Often. one desires to know the optimal instant to bx•eak off playing a. ... Then the martingale theory o:f gambling systems or s.imply te. recurrence sN(x) = min{ x., 1[sl-f-1 (x1) N-1 (x1)] }
  6. Probability About these notes. Many people have written excellent ...

    www.statslab.cam.ac.uk/~rrw1/prob/prob-weber.pdf
    16 Sep 2019: Probability. About these notes. Many people have written excellent notes for introductorycourses in probability. Mine draw freely on material prepared by others in present-ing this course to students at Cambridge. I wish to acknowledge especially
  7. 8 Mar 2016: 13. 4.2 Characterization of the optimal policy. 13. 4.3 Example: optimal gambling. ... Either way, we have F(π,x) F(π′,x). 13. 4.3 Example: optimal gambling.
  8. 29 Nov 2014: 13. 4.2 Characterization of the optimal policy. 13. 4.3 Example: optimal gambling. ... Either way, we have F(π,x) F(π′,x). 13. 4.3 Example: optimal gambling.
  9. 22 May 2013: 13. 4.2 Characterization of the optimal policy. 13. 4.3 Example: optimal gambling. ... Either way, we have F(π, x) F(π′, x). 13. 4.3 Example: optimal gambling.
  10. 21 Mar 2012: 13. 4.2 Characterization of the optimal policy. 13. 4.3 Example: optimal gambling. ... Either way, we have F(π, x) F(π′, x). 13. 4.3 Example: optimal gambling.
  11. L.dvi

    www.statslab.cam.ac.uk/~rrw1/oc/La5.pdf
    14 Jun 2007: 134.2 Characterization of the optimal policy. 134.3 Example: optimal gambling. 144.4 Value iteration. ... Either way, we have F (π, x) F (π′, x). 4.3 Example: optimal gambling.
  12. L.dvi

    www.statslab.cam.ac.uk/~rrw1/oc/L2010a4.pdf
    25 Nov 2010: 13. 4.2 Characterization of the optimal policy. 13. 4.3 Example: optimal gambling. ... Either way, we have F(π, x) F(π′, x). 13. 4.3 Example: optimal gambling.
  13. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index2014.html
    9 Oct 2014: Ther are applications of this course in science, economics and engineering (e.g., "insects as optimizers", "planning for retirement", "finding a parking space", "optimal gambling" and "steering a space craft to ... 4.2 Characterization of the optimal
  14. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index2013.html
    15 Sep 2014: Applications of this course are to be found in science, economics and engineering (e.g., "insects as optimizers", "planning for retirement", "finding a parking space", "optimal gambling" and "steering a space ... 4.2 Characterization of the optimal policy
  15. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index2012.html
    13 Mar 2012: Applications of this course are to be found in science, economics and engineering (e.g., "insects as optimizers", "planning for retirement", "finding a parking space", "optimal gambling" and "steering a space
  16. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index.html
    14 Jan 2016: Ther are applications of this course in science, economics and engineering (e.g., "insects as optimizers", "planning for retirement", "finding a parking space", "optimal gambling" and "steering a space craft to ... 4.2 Characterization of the optimal
  17. Optimization and Control · Course Blog

    www.statslab.cam.ac.uk/~rrw1/oc/blog.html
    16 Mar 2012: In Section 4.3 (optimal gambling) we saw that timid play is optimal in the gambling problem when the game is favorable to the gambler (p>=0.5).
  18. Markov Chains Course Blog

    www.statslab.cam.ac.uk/~rrw1/markov/blog.html
    4 Sep 2012: This fact is proved in the Part II course Optimization and Control (see Section 4.3 "Optimal gambling" in the Optimization and Control course notes.) Part of that course is about ... Question #14 on the examples sheet extends the idea of a gambling game
  19. Abstract

    www.statslab.cam.ac.uk/~rrw1/abstracts/w82a.html
    20 Sep 2011: The condition is used to establish the nature of the optimal strategies for problems of customer assignment, dynamic memory allocation, optimal gambling, maintenance and scheduling.
  20. Fisher, Statistics, and Randomization

    www.statslab.cam.ac.uk/~qz280/talk/fisher-2022/slides.pdf
    29 Apr 2024: But the idea that nature itself could behave like a perfect gambling machine wasrevolutionary.
  21. www.statslab.cam.ac.uk/~qz280/tag/randomization/index.xml

    www.statslab.cam.ac.uk/~qz280/tag/randomization/index.xml
    14 May 2024: hellip; But the idea that nature itself could behave like a perfect gambling machine was revolutionary.</p> </blockquote> <p>Moreover, Fisher clearly knew the natural randomization in heredity.