Applied Asymptotics: Name index
By A. Brazzale, A. C. Davison, Nancy Reid. 2007
126 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8c05b1d3a6d6b59418358725602903351af3de27
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- A. C. Davison
- Nancy Reid
- Donald Fraser
- Malay Ghosh
- Julian P. T. Higgins
- Alan Agresti
- Konstantinos Fokianos
- Xanthi Pedeli
In Statistics and Probability
- A. C. Davison
- Malay Ghosh
- Nancy Reid
- Donald Fraser
- Julian P. T. Higgins
- Thomas Lumley
- K. Rice
- Alan Agresti
Citations in the corpus
- Foundations of Linear and Generalized Linear Models (2015, background): “12For an introduction to higher-order asymptotics, see Brazzale et al. (2007).”
- Likelihood Estimation for the INAR(p) Model by Saddlepoint Approximation (2015, background): “Competing and more prevalent approaches such as bootstrap, Markov chain Monte Carlo and Bayesian approaches to parametric inference in small samples have drawbacks that do not apply to so-called small sample asymptotics (Brazzale et al., 2007; Brazzale and Davison, 2008).”
- ANCILLARY STATISTICS: A REVIEW (2010, methodology): “This model can be generalized in a number of directions: expressions for r and q in general regression-scale models can be obtained explicitly from summary formulae for q given in, for example, Brazzale et al. (2007, Ch. 6), and formulae for nonlinear regression are given in Fraser, Wong and Wu (199”
- A re‐evaluation of fixed effect(s) meta‐analysis (2018, background): “Subject to more assumptions, better approximations to the true distributions are available in the literature (Brazzale et al., 2007; Brazzale, 2005) but are not yet fully-integrated into software dedicated to metaanalysis.”