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Calyampudi Radhakrishna Rao

Showing results (1-10 of 5) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|October 22, 2014
Approximation of the expected value of the harmonic mean and some applicationsCalyampudi Radhakrishna Rao, Xiaoping Shi, Yuehua Wu
Proceedings of the National Academy of Sciences of the United States of America|March 31, 2017
Consistent and powerful graph-based change-point test for high-dimensional dataXiaoping Shi, Yuehua Wu, Calyampudi Radhakrishna Rao
Proceedings of the National Academy of Sciences of the United States of America|May 23, 2018
Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video dataXiaoping Shi, Yuehua Wu, Calyampudi Radhakrishna Rao
Proceedings of the National Academy of Sciences of the United States of America|April 20, 2016
Boosting association rule mining in large datasets via Gibbs samplingGuoqi Qian, Calyampudi Radhakrishna Rao, Xiaoying Sun, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 26, 2020
Estimation and model selection in general spatial dynamic panel data modelsBaisuo Jin, Yuehua Wu, Calyampudi Radhakrishna Rao, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|October 22, 2014
Approximation of the expected value of the harmonic mean and some applicationsCalyampudi Radhakrishna Rao, Xiaoping Shi, Yuehua Wu
Proceedings of the National Academy of Sciences of the United States of America|March 31, 2017
Consistent and powerful graph-based change-point test for high-dimensional dataXiaoping Shi, Yuehua Wu, Calyampudi Radhakrishna Rao
Proceedings of the National Academy of Sciences of the United States of America|May 23, 2018
Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video dataXiaoping Shi, Yuehua Wu, Calyampudi Radhakrishna Rao
Proceedings of the National Academy of Sciences of the United States of America|April 20, 2016
Boosting association rule mining in large datasets via Gibbs samplingGuoqi Qian, Calyampudi Radhakrishna Rao, Xiaoying Sun, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 26, 2020
Estimation and model selection in general spatial dynamic panel data modelsBaisuo Jin, Yuehua Wu, Calyampudi Radhakrishna Rao, et al.
Pageof 1