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The 1997 September-October Umbria-Marche sequence has been extensively studied in the past by analyzing coseismic displacement data (GPS, leveling, SAR). Here we focus on synthetic data representative...
Estimation and Accuracy after Model Selection     model averaging  Cp, Lasso  bagging  bootstrap smoothing       font style='font-size:12px;'> 2015/8/20
Classical statistical theory ignores model selection in assessing estimation accuracy. Here we consider bootstrap methods for computing standard errors and con dence intervals that take model selecti...
Model selection, estimation, and bootstrap smoothing     model averaging  Cp, Lasso  bagging       font style='font-size:12px;'> 2015/8/20
Classical statistical theory ignores model selection in assessing estimation accuracy. Here we consider bootstrap methods for computing standard errors and con dence intervals that take model selecti...
We consider the fundamental problem of estimating the mean of a vector y = Xβ + z, where X is an n× p design matrix in which one can have far more variables than observations and z is a stochastic err...
We wish to congratulate the authors for their innovative contribution, which is bound to inspire much further research. We find latent variable model selection to be a fantastic application of matrix ...
Abstract: This work propose a sequential procedure which is useful to select the best model among several nested non-linear models and to estimate efficiently the parameters of the chosen model. At ea...
Abstract: We consider the problem of high-dimensional Gaussian graphical model selection. We identify a set of graphs for which an efficient estimation algorithm exists, and this algorithm is based on...
Abstract: A predictive Bayesian model selection approach is presented to discriminate coupled models used to predict an unobserved quantity of interest (QoI). The need for accurate predictions arises ...
Abstract: The paper considers a linear regression model with multiple change-points occurring at unknown times. The LASSO technique is very interesting since it allows the parametric estimation, inclu...
We consider the edge-based compartmental models for epidemic spread developed in [5]. We show conditions under which simpler models may be substituted for more detailed models, and in so doing we de n...
Models are widely used to assist water managers in their duties, yet there is little advice to help water managers select a model appropriate to their particular application. The advice that is availa...
A formalism is presented for making estimates of a variety of mesoscale quantitiesstreamfunction, potential vorticity, and both linear and nonlinear terms in the dynamical balance equations for heat ...

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