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  2. 22 May 2013: 22. 6.3 Optimal stopping over the infinite horizon. 22. 6.4 Sequential Probability Ratio Test. ... 6615.4 Problems in which time appears explicitly. 6615.5 Example: monopolist. 6715.6 Example: neoclassical economic growth.
  3. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index2014.html
    9 Oct 2014: 6.3 Optimal stopping over the infinite horizon. 6.4 Sequential Probability Ratio Test. ... 15.8 Neoclassical economic growth. 16 Controlled Diffusion Processes. 16.1 The dynamic programming equation.
  4. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index2013.html
    15 Sep 2014: 6.4 Sequential Probability Ratio Test. 6.5 Bandit processes. 7 Bandit Processes and the Gittins Index. ... 15.7 Neoclassical economic growth. 16 Controlled Diffusion Processes. 16.1 The dynamic programming equation.
  5. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index.html
    14 Jan 2016: 6.4 Example: sequential probability ratio test. 6.5 Example: prospecting. 7 Bandit Processes and the Gittins Index. ... 16.3 Example: monopolist. 16.4 Example: neoclassical economic growth. 16.5 Diffusion processes.
  6. 15 Mar 2016: Also, λ. (b) 0. In light of Theorem 2.5, Lagrange multipliers are also known as shadow prices, dueto an economic interpretation of the problem to. ... to φ(b)/bi. In this context, complementaryslackness corresponds to the basic economic principle that
  7. Markov Chains Course Blog

    www.statslab.cam.ac.uk/~rrw1/markov/blog.html
    4 Sep 2012: statistics, economics and finance, social sciences, mathematical biology, games, music, baseball and text generation. ... can test your intuition and make good guesses about what might or might not be true.
  8. 29 Nov 2018: Shape-constrained proce-dures are also commonly used in economics (Matzkin,1991, Varian, 1984) and survival analysis, for instancein the interval-censoring problem and hazard func-tion estimation; see the recent ... In the first part of the paper, applica
  9. 24 Mar 2010: Theclass of log-concave densities has many attractive properties and has been well-studied, particularlyin the economics, sampling and reliability theory literature. ... See Bagnoli and Bergstrom(2005) for many other applications of log-concavity to
  10. STATISTICAL MODELLING Part IICPractical 8: Contingency tables and…

    www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Practical8.pdf
    11 Mar 2015: mod2 <- glm(Freq subject_msubject_f match, data=SD_subj, family=poisson). > anova(mod1, mod2, test="LR"). ... Therefore we can calculate the approximate p-value for the test above with. >
  11. STATISTICAL MODELLING Part IIC, Michaelmas 2021 Practical 8:…

    www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/P8.pdf
    5 Apr 2024: mod2 <- glm(Freq subject_msubject_f match, data=SD_subj, family=poisson). > anova(mod1, mod2, test="LR"). ... Therefore we can calculate the approximate p-value for the test above with. >

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