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Qiying Wu on Muck Rack

Qiying Wu

As seen in: Taylor & Francis Online
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Articles

Distribution-valued data graphical model estimation based on M-LDQ feature embedding

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By Qiying Wu, Huiwen Wang, Shan Lu
| Taylor & Francis Online
Abstract Understanding and modeling distribution-valued data, an important form of symbolic data, has garnered significant attention in statistics because of its effectiveness in handling large datasets. Conventional statistical inference methods are not directly applicable to distribution-valued data, which has prompted extensive research efforts aimed at addressing this challenge.
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