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Testing Hypotheses by Regularized Maximum Mean Discrepancy
Testing Hypotheses Regularized Maximum Mean Discrepancy
2013/6/14
Do two data samples come from different distributions? Recent studies of this fundamental problem focused on embedding probability distributions into sufficiently rich characteristic Reproducing Kerne...
Multistage tests of multiple hypotheses
Closed testing Family-wise error rate Multiple hypothesis testing
2011/7/19
Conventional multiple hypothesis tests use step-up, step-down, or closed testing methods to control the overall error rates.
Adjusting for selection bias in testing multiple families of hypotheses
false discovery rate family-wise error rate hierarchical testing
2011/7/6
In many large multiple testing problems the hypotheses are divided into families. Given the data, families with evidence for true discoveries are selected, and hypotheses within them are tested.
Multiple Hypotheses Testing For Variable Selection
model selection FDR Lasso Bolasso multiple hypotheses testing
2011/7/6
Many methods have been developed to estimate the set of relevant variables in a sparse linear model Y= XB+e where the dimension p of B can be much higher than the length n of Y.
Testing composite hypotheses, Hermite polynomials and optimal estimation of a nonsmooth functional
Best polynomial approximation ℓ 1 norm composite hypothe-ses Hermite polynomial minimax lower bound nonsmooth functional optimal rate of convergence
2011/6/17
A general lower bound is developed for the minimax risk when
estimating an arbitrary functional. The bound is based on testing
two composite hypotheses and is shown to be effective in estimating
th...
Bayesian testing of many hypotheses times many genes：A study of sleep apnea
Bayesian hypothesis testing FDR control hierarchical models multiple comparisons
2010/3/18
Substantial statistical research has recently been devoted to the
analysis of large-scale microarray experiments which provide a mea-
sure of the simultaneous expression of thousands of genes in a p...
Testing statistical hypotheses in quantum theory (in Russian)
Testing statistical hypotheses quantum theory
2009/9/24
Testing statistical hypotheses in quantum theory (in Russian)。
Asymptotical questions of simple hypotheses testing
Asymptotical questions simple hypotheses testing
2009/9/23
Asymptotical questions of simple hypotheses testing。
A Note on Some Pitfalls on the Sawyer Test for Discriminating Between Separate Families of Hypotheses
Some Pitfalls Sawyer Test Separate Families of Hypotheses
2009/9/17
A Note on Some Pitfalls on the Sawyer Test for Discriminating Between Separate Families of Hypotheses。
Hypotheses Testing：Poisson Versus Self-exciting
hypotheses testing Poisson process self-exciting process uniformlymost powerful test
2010/3/19
We consider the problem of hypotheses testing with the basic simple
hypothesis: observed sequence of points corresponds to stationary
Poisson process with known intensity. The alternatives are stati...
Weighted Loss Functions for Set Estimation and Testing Hypotheses
Bayes testing procedure loss function Neyman-Pearson test p-value risk
2009/3/10
From the decision-theoretic viewpoint, using a weighted loss we compare the risks of testing procedures in the location and scale parameter cases. We also get numerically the minimax solution of Bayes...
A Law of Likelihood for Composite Hypotheses
likelihood paradigm likelihood ratio profile likelihood statistical evidence support interval support set
2010/3/17
The law of likelihood underlies a general framework, known as the likelihood paradigm, for representing
and interpreting statistical evidence. As stated, the law applies only to simple hypotheses, an...
Consistent reasoning about a continuum of hypotheses on the basis of finite evidence
Consistent reasoning continuum of hypotheses basis of finite evidence
2010/4/29
In the modern Bayesian view classical probability theory is simply an extension of conventional
logic, i.e., a quantitative tool that allows for consistent reasoning in the presence of uncertainty.Cl...