BAYESIAN ESTIMATION IN SINGLE-INDEX MODELS

By Anestis Antoniadis, Ian W. McKeague. 2004

71 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/aee0334a8285f90125019705c8928b597340c78d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. María Durbán
2. Paul H. C. Eilers
3. Brian D. Marx
4. Jian Qing Shi
5. Taeryon Choi
6. Simon N. Wood
7. Andreas Brezger
8. David Ruppert

Citations in the corpus

• A Gaussian process regression approach to a single-index model (2011, methodology): “2001; Antoniadis et al. 2004 as an example). Based on the GP-SIM that we propose in the paper, the estimated single-index vectors are (0.0295, 0.5714, −0.8202), similar to those from Antoniadis et al. (2004) as well as from Hrishtache et al. (2001). This also illustrates the proposed GP-SIM, compara”
• Twenty years of P-splines (2015, methodology): “Leitenstorfer and Tutz (2011) used boosting and Antoniadis et al. (2004) used a Bayesian approach. In the next section, we review the tensor product fundamentals that enable PSR extensions into two-dimensions. For example, Eilers and Marx (2003) and Marx and Eilers (2005) extended PSR to allow inter”