搜索结果: 16-25 共查到“统计学 Uncertainty”相关记录25条 . 查询时间(0.366 秒)
On statistical uncertainty in nested sampling
uncertainty Nested sampling Bayesian analysis
2011/3/25
Nested sampling has emerged as a valuable tool for Bayesian analysis, in particular for determining the Bayesian evidence. The method is based on a specific type of random sampling of the likelihood f...
Uncertainty quantification and weak approximation of an elliptic inverse problem
Uncertainty quantification weak approximation elliptic inverse problem
2011/3/18
We consider the inverse problem of determining the permeability from the pressure in a Darcy model of flow in a porous medium. Mathematically the problem is to find the diffusion coefficient for a lin...
Reconstruction of signals with unknown spectra in information field theory with parameter uncertainty
Reconstruction signals unknown spectra information field theory parameter uncertainty
2010/3/11
The optimal reconstruction of cosmic metric perturbations and other signals requires knowledge
of their power spectra and other parameters. If these are not known a priori, they have to be
measured ...
在运筹学、管理科学、决策科学、信息科学、系统科学、计算机科学、工业工程、金融等众多领域都存在着客观的或人为的不确定性，其表现形式也多种多样，如随机性与模糊性。不确定系统研究的对象主要是不确定理论及其应用。为了推动不确定理论的发展，活跃该领域的研究，交流总结近年来我国不确定系统研究工作者的最新成果，由中国运筹学会不确定系统分会主办和重庆大学承办的第七届中国不确定系统年会将于2009年8月20-24日...
On modelling planning under uncertainty in manufacturing
Supply chain BoM strategic planning scheduling uncertainty stochastic programming Branch-and-Fix Coordination
2009/2/23
We present a modelling framework for two-stage and multi-stage mixed 0−1 problems under
uncertainty for strategic Supply Chain Management, tactical production planning and operations
assignmen...
Bayesian projection approaches to variable selection and exploring model uncertainty
Bayesian variable selection Kullback-Leibler projection lasso non-negative garotte preconditioning
2010/3/17
A Bayesian approach to variable selection which is based on the expected Kullback-
Leibler divergence between the full model and its projection onto a submodel has
recently been suggested in the lit...
Scaling factors for ab initio vibrational frequencies：comparison of uncertainty models for quantified prediction
Bayesian data analysis Model calibration Scaling factor Vibrational frequency
2010/3/17
Bayesian Model Calibration is used to revisit the problem of scaling factor calibration for
semi-empirical correction of ab initio calculations. A particular attention is devoted to
uncertainty eval...
Uncertainty quantification in complex systems using approximate solvers
uncertainty quantification Monte Carlo Bayesian nonparametric regression
2010/4/30
This paper proposes a novel uncertainty quantification framework for computationally
demanding systems characterized by a large vector of non-Gaussian uncertainties. It combines
state-of-the-art tec...
A Robertson-type Uncertainty Principle and Quantum Fisher Information
Generalized variance uncertainty principle operator monotone functions matrix means quantum Fisher information
2010/4/30
Let A1, ..., AN be complex selfadjoint matrices and let be a density matrix. The Robertson
uncertainty principledet {Cov(Ah,Aj)} ≥ det−i2Tr([Ah,Aj ])ff gives a bound for the quantum...
A volume inequality for quantum Fisher information and the uncertainty principle
Generalized variance uncertainty principle operator monotone functions matrix means quantum Fisher information
2010/4/29
Let A1, ...,AN be complex self-adjoint matrices and let be a density matrix. The Robertson
uncertainty principle det {Cov(Ah,Aj)} ≥ det−i2Tr([Ah,Aj ])ff gives a bound for the quantu...