Mathematical Foundations of Infinite-Dimensional Statistical Models
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High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.
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