
On Cramérvon Mises statistic for the spectral distribution of random matrices
Let F_N and F be the empirical and limiting spectral distributions of an...
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Bayesian Hypothesis Testing: Redux
Bayesian hypothesis testing is reexamined from the perspective of an a ...
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Testing for Stochastic Order in IntervalValued Data
We construct a procedure to test the stochastic order of two samples of ...
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Note on the robustification of the Student ttest statistic using the median and the median absolute deviation
In this note, we propose a robustified analogue of the conventional Stud...
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An Improved Statistic for the Pooled Triangle Test against PRNUCopy Attack
We propose a new statistic to improve the pooled version of the triangle...
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A Topological Approach to Metaheuristics: Analytical Results on the BFS vs. DFS Algorithm Selection Problem
Search is a central problem in artificial intelligence, and BFS and DFS ...
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On Determining the Distribution of a GoodnessofFit Test Statistic
We consider the problem of goodnessoffit testing for a model that has ...
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Bayesian MetaReasoning: Determining Model Adequacy from Within a Small World
This paper presents a Bayesian framework for assessing the adequacy of a model without the necessity of explicitly enumerating a specific alternate model. A test statistic is developed for tracking the performance of the model across repeated problem instances. Asymptotic methods are used to derive an approximate distribution for the test statistic. When the model is rejected, the individual components of the test statistic can be used to guide search for an alternate model.
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