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  2. Professor Chris Rogers | Statistical Laboratory

    www.statslab.cam.ac.uk/person/lcgr1
    26 Jul 2024: LCG Rogers. – Decisions in Economics and Finance. (2018). 41,. 447. ... 2018). 51,. 898. (doi: 10.1239/jap/1421763316). Combining different models. LCG Rogers. – Mathematics and Financial Economics.
  3. Publications | Statistical Laboratory

    www.statslab.cam.ac.uk/publications?page=26
    26 Jul 2024: Is equal to. Is not earlier than. Is between. And. Combining different models. ... LCG Rogers. – Mathematics and Financial Economics. (2018). 12,. 97. (doi: 10.1007/s11579-017-0198-8).
  4. Publications | Statistical Laboratory

    www.statslab.cam.ac.uk/publications?clv=0&kw=%E9%80%8F%E6%B0%A3%E9%9E%8B&p=%E9%80%8F%E6%B0%A3%E9%9E%8B&page=53
    26 Jul 2024: Is equal to. Is not earlier than. Is between. And. A note on the power prior. ... LCG Rogers. – Mathematics and Financial Economics. (2009). 2,. 151. (doi: 10.1007/s11579-009-0018-x).
  5. Publications | Statistical Laboratory

    www.statslab.cam.ac.uk/publications?clv=0&kw=%E9%80%8F%E6%B0%A3%E9%9E%8B&p=%E9%80%8F%E6%B0%A3%E9%9E%8B&page=47
    26 Jul 2024: 58,. 670. (doi: 10.1002/nav.20475). Fear and numbers in Fukushima. D Spiegelhalter. – ... K Nishide, LCG Rogers. – Mathematics and Financial Economics. (2011). 5,.
  6. Publications | Statistical Laboratory

    www.statslab.cam.ac.uk/publications?clv=0&kw=%E9%80%8F%E6%B0%A3%E9%9E%8B&p=%E9%80%8F%E6%B0%A3%E9%9E%8B&page=58
    26 Jul 2024: LCG Rogers. – Mathematics and Financial Economics. (2008). 2,. 1071. Bayesian statistics 8 [book review of refcno 2452343]. ... Probability Surveys. (2008). 5,. 37. (doi: 10.1214/07-ps121). VALUATIONS AND DYNAMIC CONVEX RISK MEASURES.
  7. AN EQUILIBRIUM MODEL OF MARKET EFFICIENCY WITHBAYESIAN LEARNING:…

    www.statslab.cam.ac.uk/~mike/papers/learning-submitted.pdf
    18 Feb 2015: Cambridge Series in Statistical and Probabilistic Mathematics.Cambridge University Press. 15. [5] Chevillon, G. & ... Journal of Financial Economics 76, 271-292. [7] Çinlar, E. (2011) Probability and Stochastics.

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