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11 Jan 2016: Examples are spam filters, text and speech recognition, machine learning,bioinformatics, health economics and (some) clinical trials.

22 Jul 2024: The first approachtries to test the conditional independence A[n] Y[n](0) | X. ... A level-α randomisation test then rejects H0 if Pm α. 2.19 Theorem.

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

11 Apr 2023: Training set: 2000–18; test set: 2019–22. A very challenging test set! ... Due to the Covid-19 pandemic, the test setincludes very different volatility regimes.

29 Dec 2006: What are the challenges and, in particular, whattechnology, economic and networkmodelling issues need to be overcome tomake it happen? ... of existing policy instrumentshave become apparent, and the economic damage ofcongestion is rapidly increasing.

14 Apr 2023: These preliminary results are in line with the in-sample tests and take fully into accountregulatory requirement and the complex PF liability structure. ... Computational tests. giorgio.consigli@ku.ac.ae. 38/39PFM methods’ benchmarking 14/04/2023

18 Jan 2007: Economics 240 63 26 512 112 22. Engineering 164 52 32 972 252 26. ... check that lifespan is normally distributed about a mean. The. longevities for control and test groups were.

4 Jul 2023: 1970-71 Visiting Senior Fellow, Manchester Business School. 1970 Visiting Professor of Mathematics and Economics, Institute for Quantitative Analysis of Social and Economic Policy, University of Toronto. ... 1978 D S Collat, Voting and the Formation of

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

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. >