We study high-dimensional generalized linear models and empirical risk minimization using the Lasso. An oracle inequality is presented, under a so called compatibility condition. Our aim is three fold: to proof a result announced in van de Geer (2007), to provide a simple proof with simple constants, and to separate the stochastic problem from the deterministic one.

this paper shows the role of the general dynamic model in empirical research of production technology in agriculture. the model is a first order autoregressive multivariate specification, first developed by anderson and blundell. this model is general enough to nest several simpler dynamic as well as static models within it. therefore, it provides a framework for applying classical testing ...

In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds second virial coefficient. Compounds were classified to the different groups. Finest parameters were obtained by Genetic Algorithm method ...

shear wave velocity is a basic engineering tool required to define dynamic properties of soils. in many instances it may be preferable to determine vs indirectly by common in-situ tests, such as the standard penetration test. many empirical correlations based on the standard penetration test are broadly classified as regression techniques. however, no rigorous procedure has been published for c...

there are different studies in urban literature on the determinants of urban growth, from the theoretical and empirical points of view. the most completed theoretical model is henderson model (1988, 1997, and 1999), which is tested by some empirical studies. as henderson model shows, the set of national product, specialization and technological progress are the determinants of urban growth. usi...

a two-factor experiment with interaction between factors wherein observations follow an inverse gaussian model is considered. analysis of the experiment is approached via an empirical bayes procedure. the conjugate family of prior distributions is considered. bayes and empirical bayes estimators are derived. application of the procedure is illustrated on a data set, which has previously been an...

data envelopment analysis (dea) models with interval inputs and outputs have been rarely discussed in dea literature. this paper, using the enhanced russell measurement proposes an extended model which permits the presence of interval scale variables which can take both negative and positive values. the model is compared with most well-known dea models of which include the ccr model, the bcc mo...

improving time series forecastingaccuracy is an important yet often difficult task.both theoretical and empirical findings haveindicated that integration of several models is an effectiveway to improve predictive performance, especiallywhen the models in combination are quite different. in this paper,a model of the hybrid artificial neural networks andfuzzy model is proposed for time series for...