On the Choice of Weights in a Function Space for Quasi-Monte Carlo Methods for a Class of Generalised Response Models in Statistics

Author:

Sinescu Vasile,Kuo Frances Y.,Sloan Ian H.

Publisher

Springer Berlin Heidelberg

Reference19 articles.

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2. Davis, R.A., Dunsmuir, W.T.M., Wang, Y.: On autocorrelation in a Poisson regression model. Biometrika 87, 491–505 (2000)

3. Davis, R.A., Wang, Y., Dunsmuir, W.T.M.: Modeling time series of count data. In: Ghosh, S. (eds.) Asymptotics, Nonparametrics, and Time Series. Statistics, Textbooks and Monographs, vol. 158, pp. 63–113. Dekker, New York (1999)

4. Dick, J., Kuo, F.Y., Sloan, I.H.: High-dimensional integration – the quasi-Monte Carlo way. Acta Numer. 22, 133–288 (2013)

5. Kuo, F.Y.: Component-by-component constructions achieve the optimal rate of convergence for multivariate integration in weighted Korobov and Sobolev spaces. J. Complexity 19, 301–320 (2003)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ian Sloan and Lattice Rules;Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan;2018

2. Hot New Directions for Quasi-Monte Carlo Research in Step with Applications;Springer Proceedings in Mathematics & Statistics;2018

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