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CAUSAL INTERPRETATIONS OF BLACK-BOX MODELS QINGYUAN ZHAO AND TREVOR…
www.statslab.cam.ac.uk/~qz280/publication/pdp/paper.pdf3 Jun 2024: The thick curve (with yel-. low shading) in the middle is the average. ... low shading) in the middle is the average. of all the individual curves, i.e. -
Maximum likelihood estimation of a multidimensional log-concave…
www.statslab.cam.ac.uk/~rjs57/CSSFinalLV.pdf24 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 -
t.dvi
www.statslab.cam.ac.uk/~rrw1/timeseries/t.pdf21 Sep 2005: 3. 1.6 White noise. 4. 1.7 The turning point test. 4. ... 27. 7.5 Tests for white noise. 277.6 Forecasting with ARMA models. -
Mathematics of Operational Research Contents Table of Contents i ...
www.statslab.cam.ac.uk/~rrw1/mor/morweber.pdf15 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 Results that match 2 of 3 words
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Professor Ioannis Kontoyiannis | Statistical Laboratory
www.statslab.cam.ac.uk/person/ik3557 Jul 2024: Between 2005 and 2021 he was with the Department of Informatics of the Athens University of Economics and Business. ... I Papageorgiou, I Kontoyiannis. (2023). (doi: 10.48550/arxiv.2308.00913). Temporally Causal Discovery Tests for Discrete Time Series -
Publications | Statistical Laboratory
www.statslab.cam.ac.uk/publications?page=467 Jul 2024: 2383. (doi: 10.1214/11-AOS903). Probabilistic sensitivity analysis in health economics. G Baio, AP Dawid. – ... doi: 10.1126/science.1191181). Adaptive Confidence Intervals for the Test Error in Classification Comment. -
Talks | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/talk/3 Jun 2024: 2024-02-08 2:00 PM — 3:00 PM London School of Economics and Political Science (LSE). -
Optimization and Control
www.statslab.cam.ac.uk/~rrw1/oc/index.html14 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. -
Publications | Qingyuan Zhao
https://www.statslab.cam.ac.uk/~qz280/publication/3 Jun 2024: Falsification tests for instrumental variable designs with an application to tendency to operate. ... Journal of Business & Economic Statistics (2019). Charles Zheng, Trevor Hastie, Robert Tibshirani (2016). -
Publications | Statistical Laboratory
www.statslab.cam.ac.uk/publications?page=257 Jul 2024: 2018). 31,. 547. (doi: 10.1002/bdm.2073). Inference on covariance operators via concentration inequalities: K-sample tests, classification, and clustering via rademacher complexities. ... ARTN 66. (doi: 10.1214/18-ejp161). Combining different models. LCG -
John Aston's Home Page - Publications
www.statslab.cam.ac.uk/~jada2/pubs.html10 Jun 2021: 2018. JAD Aston and C Kirch. Efficiency of change points tests in high dimensional settings, Electronic Journal of Statistics, 12: 1901-1947. ... I Hindrayanto, JAD Aston, SJ Koopman, M Ooms. Modeling trigonometric seasonal components for monthly -
Optimization and Control
www.statslab.cam.ac.uk/~rrw1/oc/index2014.html9 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. -
9. Lecture 10. Tests of homogeneity, and connections toconfidence ...
www.statslab.cam.ac.uk/~sb2116/Statistics_IB/slides/S1B-17-10-homogeneity-CIs.pdf4 Feb 2020: Tests of homogeneity, and connections to confidence intervals 10.1. Tests of homogeneity. ... Lecture 10. Tests of homogeneity, and connections to confidence intervals 2 (1–56). -
STATISTICAL MODELLING Part IICPractical 8: Contingency tables and…
www.statslab.cam.ac.uk/~rds37/teaching/statistical_modelling/Practical8.pdf11 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. > -
Optimization and Control
www.statslab.cam.ac.uk/~rrw1/oc/index2013.html15 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. -
Publications | Statistical Laboratory
www.statslab.cam.ac.uk/publications?cid=2092072041&clv=1&kw=%E9%80%8F%E6%B0%A3%E9%9E%8B&p=%E9%80%8F%E6%B0%A3%E9%9E%8B&page=537 Jul 2024: Evaluating medical expert systems: what to test and how? J Wyatt, D Spiegelhalter. – ... LCG Rogers. – Mathematics and Financial Economics. (2009). 2,. 151. (doi: 10.1007/s11579-009-0018-x). -
Curriculum Vitae
www.statslab.cam.ac.uk/~qz280/files/cv.pdf20 Mar 2024: arXiv: 2208.13871 [stat.ME]. 49. Y. Zhang and Q. Zhao, “Multiple conditional randomization tests,” 2021. ... 15. Journal of the Americal Statistical Association. 16. Journal of Business & Economic Statistics. -
Draft Memorial Tribute for the National Academy of Engineering ...
www.statslab.cam.ac.uk/~frank/PW/whittle_nae.pdf18 Aug 2021: later awarded the Nobel Prize in Economics for empirical research on cause and effect in the. ... woodwind instruments, especially the oboe. In his middle years he learned the flamenco. -
Peter Whittle, 1927-2021 (Peter Whittle in 1985, by Peter ...
www.statslab.cam.ac.uk/~frank/PW/whittle_rss.pdf6 Sep 2021: later awarded the Nobel Prize in Economics for empirical research on cause and effect in the. ... attracted to woodwind instruments, especially the oboe. In his middle years he learned the. -
s.dvi
www.statslab.cam.ac.uk/~rrw1/stats/Sa4.pdf4 Dec 2008: 29. 7.2 The power of a test. 29. 7.3 Uniformly most powerful tests. ... 33. 8.2 Generalised likelihood ratio tests. 33. 8.3 Single sample: testing a given mean, known variance (z-test).
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