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ENTITY Bernstein-Type Inequality for Widely Dependent Sequence and Its Application to Nonparametric Regression Models

Bernstein-Type Inequality for Widely Dependent Sequence and Its Application to Nonparametric Regression Models

PulseAugur coverage of Bernstein-Type Inequality for Widely Dependent Sequence and Its Application to Nonparametric Regression Models — every cluster mentioning Bernstein-Type Inequality for Widely Dependent Sequence and Its Application to Nonparametric Regression Models across labs, papers, and developer communities, ranked by signal.

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    New deep learning method tackles regression with dependent data and covariate shift

    Researchers have developed a novel sparse-penalized deep neural network (SPDNN) estimator designed to address nonparametric regression challenges under covariate shift and with dependent data. This approach utilizes a g…