Research page of Hugo Maruri-Aguilar

 Hugo Maruri

Research interests:

Algebraic techniques in design of experiments, design and analysis of computer experiments. Other academic interests are likelihood-based inference and reliability.

Recent publications

Some papers below have links to pdf files. Email me if you are interested in other papers.

Refereed papers

  1. Maruri-Aguilar, H. Sáenz de Cabezón, E., Wynn, H. (2012). Betti numbers of polynomial hierarchical models for experimental designs. Annals of Mathematics and Artificial Intelligence. DOI: 10.1007/s10472-012-9295-9
  2. Berstein, Y., Maruri-Aguilar, H., Onn, S., Riccomagno, E., Wynn, H. (2010). Minimal average degree aberration and the state polytope for experimental designs. Annals of the Institute of Statistical Mathematics 62(4), 673-698. arXiv:0808.3055
  3. Maruri-Aguilar, H., Trandafir, C. (2010). Sequential barycentric interpolation. mODa 9. Contributions to Statistics 121-128. Preview from Springer website.
  4. Bates, R.A., Maruri-Aguilar, H., Riccomagno, E.M., Schwabe, R., Wynn, H.P. (2010). Self-avoiding generating sequences for Fourier lattice designs. (Proceedings of the Conference on Algebraic Methods in statistics and Probability II). Contemporary Mathematics 516,37-47. Preprint.
  5. Maruri-Aguilar, H., Vazquez-Montes, M. (2008). Statistics: a starting point. In Proceedings of the IV Symposium of Otopames Carr, D.C.W. (ed.). University of Guanajuato, Mexico (in Spanish).
  6. Maruri-Aguilar, H., Wynn, H. P. (2008). Generalized designs. In Algebraic and Geometric Methods in Statistics Gibilisco, P., Riccomagno, E., Rogantin, M.P. and Wynn, H.P. (eds.) (Cambridge University Press, Cambridge). Preprint.
  7. Pistone, G., Riccomagno, E., Rogantin, M.P. (2008). Algebraic statistics methods in DOE (with a contribution by Maruri-Aguilar, H.) In In search for optimality in optimization and statistics Pronzato, L. and Zhigljavsky, A. A. (eds.) (Springer- Verlag, Berlin).
  8. Lee, J., Maruri-Aguilar, H., Onn, S., Riccomagno, E., Weismantel, R., Wynn, H. (2008). Nonlinear matroid optimization and experimental design. SIAM Journal on Discrete Mathematics 22(3), 901-919. (arxiv:0707.4618)
  9. Maruri-Aguilar, H., Notari, R., Riccomagno, E. (2007). On the description and identifiability analysis of mixture designs. Statistica Sinica 17, 1417-1440. (Paper from S.S. site)
  10. Maruri-Aguilar, H., Riccomagno, E. (2007). A note on mixture experiments with process variables. mODa 8. Contributions to Statistics, 107-114.
  11. Maruri-Aguilar, H. (2006). Universal Groebner bases for designs of experiments. Rend. Istit. Mat. Univ. Trieste, 37(1-2): 95-119. (Paper from Rimut site)

Papers accepted for publication

Papers submitted

  1. Boukouvalas, A., Gosling, J.P., Maruri-Aguilar, H. (2012). An efficient screening method for computer experiments. Preprint.
  2. Maruri-Aguilar, H., Wynn, H. (2012). D-optimality of Sobol' sequences for Haar wavelet models.
  3. Bates, R.A., Maruri-Aguilar, H., Wynn, H. (2012). Smooth supersaturated models. MUCM technical report 08/01. arXiv:0809.4654

Papers in preparation

  1. Muhlenstadt, T., Maruri-Aguilar, H. (2012) Simplex foldover designs.
  2. Maruri-Aguilar, H., Wynn, H. (2008). Kernels and designs. MUCM internal report 3.1.4.
  3. Boukouvalas, A., Maruri-Aguilar, H. (2009). Bounds for elementary effects using low discrepancy sequences. (MUCM internal report 3.1.19).
  4. Maruri-Aguilar, H. Orders and zonotopes.

Research reports

  1. Maruri-Aguilar, H., Wynn, H. (2007). Smooth interpolation. Mathematisches Forschungsinstitut Oberwolfach report 50/2007: Reassessing the paradigms of statistical model-building, 3004-3007. (MFO website)
  2. Fenlon, J.S., Maruri-Aguilar, H., Riccomagno, E. (2005). Algebraic identifiability for fractional polynomial models. Research report 444, Department of Statistics, University of Warwick.

Recent talks

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MRC This page is maintained by Hugo Maruri-Aguilar. The views and opinions expressed in these pages are mine. The contents of these pages have not been reviewed or approved by Queen Mary, University of London.