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Inference for Monotone Functions Under Short- and Long-Range Dependence: Confidence Intervals and New Universal Limits
We focus on the problem estimating a monotone trend function under additive and dependent noise. New point-wise confidence interval estimators under both short- and long-range dependent errors are introduced and studied. These intervals are obtained via the method of inversion of certain discrepancy statistics arising in hypothesis testing problems. The …