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Statistical Methods and InferenceDistributed Sensor Networks and Detection AlgorithmsSparse and Compressive Sensing Techniques

A Rank-Kernel Divergence Approach for Joint Independence and Goodness-of-Fit Testing in Functional Linear Models

Jiangyuan Bian, Zhongzhan Zhang

2026.3.21Journal of Statistical Theory and Practice

DOI: 10.1007/s42519-026-00569-0

Abstract

Abstract is not available.

Citation format

BIAN, Jiangyuan; ZHANG, Zhongzhan. A rank-kernel divergence approach for joint independence and goodness-of-fit testing in functional linear models. Journal of Statistical Theory and Practice, 2026, 20(2).