搜索结果: 1-15 共查到“理论统计学 design”相关记录21条 . 查询时间(0.062 秒)
OPERA: Optimization with Ellipsoidal Uncertainty for Robust Analog IC Design
Statistical optim ization
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2015/7/10
As the design-manufacturing interface becomes increasingly complicated with IC technology scaling, the corresponding process variability poses great challenges for nanoscale analog/RF design. Design o...
Robust Design of Slow-Light Tapers in Periodic Waveguides
robust optimization PDE-constrained optimization shape optimization coupling taper
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2015/7/9
This paper concerns the design of tapers for coupling power between uniform and slow-light periodic waveguides. New optimization methods are described for designing robust tapers, which not only perfo...
Likelihood-free Simulation-based Optimal Design
Simulation based optimal design approximate Bayesian computation Markov chain Monte Carlo
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2013/6/14
Simulation-based optimal design techniques are a convenient tool for solving a particular class of optimal design problems. The goal is to find the optimal configuration of factor settings with respec...
A new framework for optimal classifier design
Class Imbalance One Class SVM F-measure Recall Precision Fraud Detection Level Set Method
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2013/6/14
The use of alternative measures to evaluate classifier performance is gaining attention, specially for imbalanced problems. However, the use of these measures in the classifier design process is still...
Optimal design for linear models with correlated observations
Optimal design correlated observations integral operator,eigenfunctions arcsine distribution logarithmic potential
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2013/4/27
In the common linear regression model the problem of determining optimal designs for least squares estimation is considered in the case where the observations are correlated. A necessary condition for...
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
Predictive Correlation Screening Application Two-stage Predictor Design High Dimension
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2013/4/27
We introduce a new approach to variable selection, called Predictive Correlation Screening, for predictor design. Predictive Correlation Screening (PCS) implements false positive control on the select...
The Lasso, correlated design, and improved oracle inequalities
compatibility correlation entropy high-dimensional model
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2011/7/19
We study high-dimensional linear models and the $\ell_1$-penalized least squares estimator, also known as the Lasso estimator.
Generalized Likelihood Ratio Statistics and Uncertainty Adjustments in Efficient Adaptive Design of Clinical Trials
Hoeffding’s information bound Internal pilot Kullback-Leibler information Modified Haybittle-Peto test Multiparameter exponential family Sample size re-estimation
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2011/6/20
A new approach to adaptive design of clinical trials is proposed in a general multi-
parameter exponential family setting, based on generalized likelihood ratio statistics and optimal
sequential tes...
The LASSO for generic design matrices as a function of the relaxation parameter
linear regression LASSO relaxation parameter
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2011/6/16
The LASSO is a variable subset selection procedure in statistical
linear regression based on ℓ1 penalization of the least-squares
operator. Its behavior crucially depends, both in practice and...
Optimal experiment design in a filtering context with application to sampled network data
Optimal design, Kalman filter random walks
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2010/10/19
We examine the problem of optimal design in the context of filtering multiple random walks. Specifically, we define the steady state E-optimal design criterion and show that the underlying optimizatio...
On calibration of design weights
Calibration Linear regression estimator GREG Estimation of total andvariance
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2010/3/18
In the present investigation, we build a bridge between the generalized regression
(GREG) estimator due to Deville and Sarndal (1992) and the linear regression estimator
due to Hansen, Hurwitz and M...
A Kronecker-product design and its reducible associate classes
A Kronecker-product design reducible associate classes
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2009/9/23
A Kronecker-product design and its reducible associate classes。
Variance components admissible estimation from some unbalanced data: formulae for the nested design (1)
Variance components admissible estimation unbalanced data
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2009/9/23
Variance components admissible estimation from some unbalanced data: formulae for the nested design (1)。
Cluster Allocation Design Networks
Cluster allocation Inuence diagrams Causal inference Identication of policy effects DAGs
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2009/9/22
Design Networks expand this frame-
work by including experimental design decision nodes (Madrigal and Smith 2004).
They provide semantics to discuss how a design decision strategy (such as a clus-
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ADAPTIVE KERNEL ESTIMATION OF THE MODE IN A NONPARAMETRIC RANDOM DESIGN REGRESSION MODEL
Nonparametric regression random design mode kernel smoothing Nadaraya-Watson estimator
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2009/9/21
In a nonparametric regession model with random design,
where the regression function m is given by rn (x). = E (Y I X = x),
estimation of the location 0 (mode) and size m(B) of a unique maximum
of ...