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Titlebook: Mathematical Analysis, its Applications and Computation; ISAAC 2019, Aveiro, Paula Cerejeiras,Michael Reissig Conference proceedings 2022

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Durvudkhan Suraganithm for data visualization. We also show how the . PCA approach can be generalized to non-linear latent variable models leading to the Generative Topographic Mapping algorithm (GTM). Finally, we show how GTM can itself be extended to model temporal data.
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Notes on Computational Hardness of Hypothesis Testing: Predictions Using the Low-Degree Likelihood For instance, we point out a formal connection between spectral methods and the low-degree likelihood ratio, and we give a sharp low-degree lower bound against subexponential-time algorithms for tensor PCA.
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Mathematical Analysis, its Applications and ComputationISAAC 2019, Aveiro,
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Paula Cerejeiras,Michael ReissigPresents the contributions from the plenary lectures at ISAAC 2019.Includes discussions on applications to contemporary fields.Features a paper outlining the mathematical contributions due to Bogdan B
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Springer Proceedings in Mathematics & Statisticshttp://image.papertrans.cn/m/image/625998.jpg
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Totally Positive Functions in Sampling Theory and Time-Frequency Analysis,Totally positive functions play an important role in approximation theory and statistics. In this chapter I will present recent new applications of totally positive functions in sampling theory and time-frequency analysis.
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978-3-030-97129-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Mathematical Analysis, its Applications and Computation978-3-030-97127-4Series ISSN 2194-1009 Series E-ISSN 2194-1017
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