Geodesic
A Fast ' Monte-Carlo Cross-Validation' Procedure for Large Least Squares Problems with Noisy Data.
Numerische Mathematik, Tome 56 (1989) no. 2-3, pp. 1-24

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Mots-clés : Monte-Carlo cross-validation, large least squares problems, noisy data, Monte-Carlo algorithm, regularization, data smoothing, numerical simulations, optimal spline smoothing 
@article{NUMA_1989__56_2-3_133381,
     author = {Didier A. Girard},
     title = {A {Fast} ' {Monte-Carlo} {Cross-Validation'} {Procedure} for {Large} {Least} {Squares} {Problems} with {Noisy} {Data.}},
     journal = {Numerische Mathematik},
     pages = {1--24},
     publisher = {mathdoc},
     volume = {56},
     number = {2-3},
     year = {1989},
     zbl = {0665.65010},
     url = {http://geodesic.mathdoc.fr/item/NUMA_1989__56_2-3_133381/}
}
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Didier A. Girard. A Fast ' Monte-Carlo Cross-Validation' Procedure for Large Least Squares Problems with Noisy Data.. Numerische Mathematik, Tome 56 (1989) no. 2-3, pp. 1-24. http://geodesic.mathdoc.fr/item/NUMA_1989__56_2-3_133381/