4 citations · 4 across the 2 of their papers we have counts for
3 papers
Unbiased Test Error Estimation in the Poisson Means Problem via Coupled Bootstrap Techniques
Natalia L. Oliveira, Jing Lei, Ryan J. Tibshirani
We propose a coupled bootstrap (CB) method for the test error of an arbitrary algorithm that estimates the mean in a Poisson sequence, often called the Poisson means problem. The i…
Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques
Natalia L. Oliveira, Jing Lei, Ryan J. Tibshirani
We develop a new approach for estimating the risk of an arbitrary estimator of the mean vector in the classical normal means problem. The key idea is to generate two auxiliary data…
The Likelihood Ratio Test and Full Bayesian Significance Test under small sample sizes for contingency tables
Natalia L. Oliveira, Carlos A. de B. Pereira, Marcio A. Diniz +1
Hypothesis testing in contingency tables is usually based on asymptotic results, thereby restricting its proper use to large samples. To study these tests in small samples, we cons…