搜索结果: 1-15 共查到“数理统计学 Testing”相关记录17条 . 查询时间(0.203 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Fixed Effects Bayesian Testing in High-Dimensional Linear Mixed Models
高维 线性混合模型 固定效应 贝叶斯检验
2023/5/5
Hypothesis testing on high-dimensional fixed effects is indispensable for investigating the utility of the predictors on response. In this case, the conventional frequentist methods designed for cases...
昆明理工大学理学院概率论与数理统计课件Chapter 8 Hypothesis Testing--Tests Concerning Variance
昆明理工大学理学院 概率论与数理统计 课件 Chapter 8 Hypothesis Testing Tests Concerning Variance
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 8 Hypothesis Testing--Tests Concerning Variance.
昆明理工大学理学院概率论与数理统计课件Chapter 8 Hypothesis Testing--Tests Concerning Mean
昆明理工大学理学院 概率论与数理统计 课件 Chapter 8 Hypothesis Testing Tests Concerning Mean
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 8 Hypothesis Testing--Tests Concerning Mean.
昆明理工大学理学院概率论与数理统计课件Chapter 8 Hypothesis Testing--Introduction
昆明理工大学理学院 概率论与数理统计 课件 Chapter 8 Hypothesis Testing Introduction
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 8 Hypothesis Testing--Introduction.
On large deviations in testing simple hypotheses for locally stationary Gaussian processes
Hypothesis testing Likelihood ratio Large deviations Locally stationary Gaussian processes Hoeffding bound Stein’s lemma Chernoff bound
2015/8/25
We derive a large deviation result for the log-likelihood ratio for testing simple hypotheses in locally stationary Gaussian processes. This result allows us to find explicitly the rates of exponentia...
AN ASYMPTOTIC ERROR BOUND FOR TESTING MULTIPLE QUANTUM HYPOTHESES
ASYMPTOTIC ERROR BOUND TESTING MULTIPLE QUANTUM HYPOTHESES
2015/8/25
We consider the problem of detecting the true quantum state among r possible ones, based of measurements performed on n copies of a finitedimensional quantum system. A special case is the problem of d...
THE CHERNOFF LOWER BOUND FOR SYMMETRIC QUANTUM HYPOTHESIS TESTING
CHERNOFF LOWER BOUND SYMMETRIC QUANTUM HYPOTHESIS TESTING
2015/8/25
We consider symmetric hypothesis testing in quantum statistics, where the hypotheses are density operators on a finite-dimensional complex Hilbert space, representing states of a finite quantum system...
Asymptotic Error Rates in Quantum Hypothesis Testing
Asymptotic Error Rates Quantum Hypothesis Testing
2015/8/25
We consider the problem of discriminating between two different states of a finite quantum system in the setting of large numbers of copies, and find a closed form expression for the asymptotic expone...
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...
Simultaneous Inference: When Should Hypothesis Testing Problems Be Combined?
Simultaneous Inference Testing Problems
2015/8/20
Modern statisticians are often presented with hundreds or thousands of hypothesis
testing problems to evaluate at the same time, generated from new scientific technologies such as microarrays, ...
Consistent testing for a constant copula under strong mixing based on the tapered block multiplier technique
Change point test Copula Empirical copula process Nonparametric estimation Time series Strong mixing Multiplier central limit theorem
2012/6/29
Considering multivariate strongly mixing time series, nonparametric tests for a constant copula with specified or unspecified change point (candidate) are derived; the tests are consistent against gen...
Adaptive Sensing Performance Lower Bounds for Sparse Signal Estimation and Testing
adaptive sensing minimax lower bounds sequential experimental design sparsity-based models
2012/6/19
This paper gives a precise characterization of the fundamental limits of adaptive sensing for diverse estimation and testing problems concerning sparse signals. We consider in particular the setting i...
Multiple Objects: Error Exponents in Hypotheses Testing and Identification
Multiple hypotheses testing LAO tests Many independent objects Dependent objects Multiobject model
2012/4/16
We servey a series of investigations of optimal testing of multiple hypotheses conserning various multiobject models. These studies are a bright instance of application of methods and technics develop...
Testing the equality of several independent binomial proportions based on asymptotic and resampling method
Monte Carlo method Bootstrap method Likelihood test Score test Wald test Binomial distribution
2011/11/7
This paper discusses equality test of proportions in k (k≥2) independent binomial distributions on the basis of likelihood-ratio, score and Wald-type statistics via asymptotic, MaxT, MinP and Step-dow...
Uniform hypothesis testing for ergodic time series distributions
Uniform hypothesis ergodic time series distributions Statistics Theory
2011/9/16
Abstract: Given a discrete-valued sample $X_1,...,X_n$ we wish to decide whether it was generated by a distribution belonging to a family $H_0$, or it was generated by a distribution belonging to a fa...