%0 Journal Article%T Missing-Data Nonparametric Coherency Estimation %A Haley, Charlotte%D 2021%J IEEE Signal Processing Letters%N %P 1704, 1708%R 10.1109/LSP.2021.3105926%V 28%X Chave recently proposed an estimator for multitaper spectral density where the time series contains missing values. In this article we generalize this technique to a multitaper estimator of coherence and phase and show that one can also obtain bootstrapped confidence intervals. We give two examples. The first is a toy example in which the true coherence is known. In the second example we show that the multitaper missing-data coherence estimator computed on real data with a single gap comprising 11% of the data outperforms the Daniell-smoothed coherence estimator where there are no gaps. The case where the two time series have different missing indices is also discussed.%Z %8 %& 1704