Regularization in statistics (2006)
Bickel, Peter J, Li, Bo, Tsybakov, Alexandre B., Yu, Bin, Valdés, Teófilo, ...
This paper is a selective review of the regularization methods scattered in statistics literature. We introduce a general conceptual approach to regularization and fit most existing methods into it....
Evolución de la recaudación en el IRPF: determinación de las causas y estimación de efectos (1989)
Valdés, Teófilo, Raymond Bara, José Luis, Argimón Maza, Isabel
Evolución de la recaudación en el IRPF: determinación de las causas y estimación de efectos (1989)
Valdés, Teófilo, Raymond Bara, José Luis, Argimón Maza, Isabel
Simulación : aplicaciones prácticas en la empresa (1987)
Pardo, Leandro, Valdés, Teófilo
84-86251-59-1
Mean-Based Iterative Procedures in Linear Models with General Errors and Grouped Data
We present in this paper iterative estimation procedures, using conditional expectations, to fit linear models when the distributions of the errors are general and the dependent data stem from a...
Carmen Anido, Teófilo Valdés, Carlos Rivero
Asymptotic distributions, consistency, convergence rate, grouped data, imputation, iterative estimation, linear models, 62F12,
An iterative estimating procedure for probit-type nonresponse models in surveys with call backs
Conditioned likelihood, iterative estimation, missing data, non ignorability, non response, probit models, 62A10, 62E20, 62F12, 62F30,
Peter Bickel, Bo Li, Alexandre Tsybakov, Sara Geer, Bin Yu, Teófilo Valdés, ...
Regularization, linear regression, nonparametric regression, boosting, covariance matrix, principal component, bootstrap, subsampling, model selection, Primary 62G08, 62H12, Secondary 62F12, 62G20,...
On spectral radii of matrices governing some numerical estimating algorithms with incomplete data
Convergence, Convergence rates, Incomplete data, Inference with missing observations, Em and EM-bayes algorithms, Functional approximations, Matrix spectral radii and leading eigenvalue, 62A10,...