If a given risky prospect is compared with multiple choice alternatives, then a joint test for optimality is more appropriate than a series of pairwise Stochastic Dominance tests. We develop and implement a bootstrap empirical likelihood ratio test for this hypothesis. The test statistic and...

The key to multiple testing is to respect the dependencies between the marginal hypotheses tests. Any dependency structure can be modeled by so-called copula functions. This makes copulas an interesting tool in multiple testing. In particular, it is possible to explicitly utilize the dependency...

This paper concerns the uniform inference for nonparametric series estimators in time-series applications. We develop a strong approximation theory of sample averages of serially dependent random vectors with dimensions growing with the sample size. The strong approximation is first proved for...