Mathematical
statistics
S. Geman. An application of the method of
sieves: functional estimator for the drift of a diffusion.
In: Colloquia
Mathematica Societatis
Janos Bolyai 32. Nonparametric
Statistical Inference. North-Holland,
S. Geman. Seives for nonparametric estimation
of densities and regressions. Reports on Pattern Analysis No. 99,
Division of Applied Mathematics,
S. Geman and C.-R.
Hwang. Nonparametric maximum likelihood estimation by the
method of sieves. Ann. Stat., 10, 1982, 401-414. (pdf)
S. Geman and D.E. McClure. Characterization of a maximum-likelihood nonparametric density
estimator of kernel type. In: Proceedings of the NASA Workshop on Density
Estimation and Function Smoothing. Ed. by L.F. Guseman,
Jr.,
S. Geman. Cross-validation
for densities and regressions. Proceedings of
the NASA Workshop on Density Estimation and Function Smoothing. Ed. by L.F. Guseman, Jr.,
Y.-S. Chow, S. Geman, and L.-D. Wu. Consistent cross-validated density estimation. Ann. Stat., 11, 1983, 25-38. (pdf)
S. Geman. The Method of
Sieves. Encyclopedia of Statistical Sciences, Volume 5. Ed. S. Kotz and
N.L. Johnson, John Wiley & Sons, 1985. (pdf)
Z. Chi and S. Geman. On
the consistency of minimum complexity nonparametric estimation. IEEE Trans. Inf.
Theory, 44, 1998, 1968-1973. (pdf)
G. Zhou, S. Geman, and J.M. Buhmann.
Sparse feature selection by information theory. Proceedings of the IEEE 2014 International Symposium on Information
Theory, 2014, 626-930. (pdf)