Robust inference and its application to genome data

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When outliers are present, many statistical methods lose the validity of the result for analyzing the data. The statistical method which gives the valid result even if outliers are present is called the robust inference. In particular, it is important to make a latent bias small even when outliers are present. I have discussed robust inference and applied the method to genome data.