搜索结果: 1-9 共查到“数理统计学 Optimal”相关记录9条 . 查询时间(0.093 秒)
Optimal designs for multiple treatments with unequal variances
Optimal treatment allocation D-optimality D A -optimality
2016/1/20
The response of a patient in a clinical trial usually depends on both the se-lected treatment and some latent covariates, while its variance varies across the treatment groups. A general heteroscedast...
Asymptotically Optimal Discrimination between Pure Quantum States
multiple quantum state discrimination generalized quantum Chernoff distance quantum hypothesis testing error exponents
2015/8/25
We consider the decision problem between a finite numberof states of a finite quantum system, when an arbitrarily large number of copies of the system is available for measurements. We provide an uppe...
Maximum likelihood estimation of a nonparametric signal in white noise by optimal control
Nonparametric signal in white noise Maximum likelihood Smoothness classes Extremal problems Optimal control Iterative solution
2015/8/25
We study extremal problems related to nonparametric maximum likelihood estimation (MLE) of a signal in white noise.The aim is to reduce these to standard problems of optimal control which can be solve...
A Unified Near-Optimal Estimator For Dimension Reduction in lα (0 < α ≤ 2) Using Stable Random Projections
Near-Optimal Estimator Dimension Reduction Stable Random Projections
2015/8/21
Many tasks (e.g., clustering) in machine learning only require the lα distances instead of the original data. For dimension reductions in the lα norm (0 < α ≤ 2), the method of stable random projectio...
Optimal Multiple Testing Under a Gaussian Prior on the Effect Sizes
Effect Sizes Multiple Testing
2015/8/21
We develop a new method for frequentist multiple testing with Bayesian prior information.
Our procedure nds a new set of optimal p-value weights called the Bayes weights. Prior
information is relev...
Optimal Weighting of Multi-View Data with Low Dimensional Hidden States
Low Dimensional Hidden States Optimal Weighting Multi-View Data
2012/11/23
In Natural Language Processing (NLP) tasks, data often has the following two properties: First, data can be chopped into multi-views which has been successfully used for dimension reduction purposes. ...
We study positive measures that are solutions to an abstract optimisation problem, which is a generalisation of a classical variational problem with a constraint on information of a Kullback-Leibler t...
Ordinal Discriminant Analysis: A new approach to the construction of optimal linear scores for ordinal risk categories
Ordinal Discriminant Analysis optimal linear scores ordinal risk categories
2011/1/4
Most classification methods provide either a prediction of group membership or an assessment of class membership probability. In the case of two-group classification the predicted probability can be d...
Optimal learning rates for Kernel Conjugate Gradient regression
Optimal learning rates Kernel Conjugate Gradient regression
2010/12/14
We prove rates of convergence in the statistical sense for kernel-based least squares regression using a conjugate gradient algorithm, where regularization against overfit-ting is obtained by early st...