Yoav Benjamini

The control of the false discovery rate in multiple testing under dependency

Benjamini and Hochberg suggest that the false discovery rate may\nbe the appropriate error rate to control in many applied multiple testing\nproblems. A simple procedure was giv...

On the Adaptive Control of the False Discovery Rate in Multiple Testing with Independent Statistics

Multiple Hypotheses Testing with Weights

In this paper we offer a multiplicity of approaches and procedures for multiple testing problems with weights. Some rationale for incorporating weights in multiple hypotheses te...

A step-down multiple hypotheses testing procedure that controls the false discovery rate under independence

Adaptive thresholding of wavelet coefficients

On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics

A new approach to problems of multiple significance testing was presented in Benjamini and Hochberg (1995), which calls for controlling the expected ratio of the number of erron...

Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

SUMMARY The common approach to the multiplicity problem calls for controlling the familywise error rate (FWER). This approach, though, has faults, and we point out a few. A diff...

Adapting to unknown sparsity by controlling the false discovery rate

We attempt to recover an n-dimensional vector observed in white noise, where n is large and the vector is known to be sparse, but the degree of sparsity is unknown. We consider ...