搜索结果: 1-12 共查到“理学 model selection”相关记录12条 . 查询时间(0.133 秒)
Inversion of synthetic geodetic data for the 1997 Colfiorito events:clues on the effects of layering,assessment of model parameter PDFs,and model selection criteria
data inversion geodesy coseismic displacement
2015/9/1
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
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...
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...
Near-ideal model selection by `1 minimization
Model selection oracle inequalities the lasso compressed sensing incoherence eigenvalues of random matrices
2015/6/17
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...
Discussion of “Latent Variable Graphical Model Selection via Convex Optimization”
Latent Variable Graphical Model Selection Convex Optimization
2015/6/17
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 ...
An adaptive sequential optimum design for model selection and parameter estimation in non-linear nested models
D-optimality KL-optimality DKL-optimality log-likelihood ratio test stochastic convergence sequential optimum design
2011/7/26
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...
High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families
Gaussian graphical model selection high-dimensional learning local-separation property walk-summability
2011/7/6
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...
Application of Predictive Model Selection to Coupled Models
Predictive Model Selection Quantity of In-terest Model Validation Decision Making Bayesian Analysis
2011/7/5
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 ...
Model selection by LASSO methods in a change-point model
LASSO change-points selection criterion asymptotic behavior oracle properties
2011/7/5
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...
Edge-based compartmental modeling for epidemic spread Part II: Model Selection and Hierarchies
epidemic spread Model Selection and Hierarchies Part II
2011/6/30
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...
A model selection protocol to support the use of models for water management
water management modelling process
2009/5/6
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...
An Objective Analysis of the POLYMODE Local Dynamics Experiment. Part I：General Formalism and Statistical Model Selection
Local Dynamics Experiment Statistical Model Selection General Formalism
2009/1/10
A formalism is presented for making estimates of a variety of mesoscale quantities—streamfunction, potential vorticity, and both linear and nonlinear terms in the dynamical balance equations for heat ...