Global ETD Search
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Showing 1 to 5 of 5 for “"Level-set Estimation"”.
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Bandwidth Selection for Level Set Estimation in the Context of Regression and a Simulation Study for Non Parametric Level Set Estimation When the Density Is Log-Concave
Bandwidth selection is critical for kernel estimation because it controls the amount of smoothing for a function's estimator. Traditional methods for bandwidth selection involve optimizing a global loss function (e.g. least squares cross validation, asymptotic mean integrated squared error). …
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Energy-aware Sparse Sensing of Spatial-temporally Correlated Random Fields
… we study the problem of energy efficient Level set estimation (LSE) of random fields correlated in time and/or space under a total power constraint. We consider uniform sampling schemes of a sensing system with a single sensor and a linear sensor network with sensors distributed uniformly …
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Consistency and Uniform Bounds for Heteroscedastic Simulation Metamodeling and Their Applications
… sequential heteroscedastic metamodel-based level-set estimation (LSE) methods are scarce. Third, the increasingly high computational cost required by heteroscedastic Gaussian process-based LSE methods in the sequential sampling setting is a concern. Additionally, when constructing a valid …
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Kernel Estimators in Complex Data Analysis
… Even during this information age, when the datasets confronting us have become larger and more complicated, which seems to disfavor the use of kernel estimators because of the so- called “curse of dimensionality” phenomenon with nonparametric statistical methods, statisticians continue to …