Confidence on the focal: Conformal prediction with selection-conditional coverage
Conformal prediction builds marginally valid prediction intervals which cover the unknown
outcome of a randomly drawn new test point with a prescribed probability. In practice, a …
outcome of a randomly drawn new test point with a prescribed probability. In practice, a …
Inference with Randomized Regression Trees
Regression trees are a popular machine learning algorithm that fit piecewise constant
models by recursively partitioning the predictor space. In this paper, we focus on performing …
models by recursively partitioning the predictor space. In this paper, we focus on performing …
Advances in Quasi-Monte Carlo
S Liu - 2024 - search.proquest.com
Statistics is about distilling knowledge from noisy data, utilizing probabilistic models to
describe the complex interactions between signals and noise. To infer about signals, one …
describe the complex interactions between signals and noise. To infer about signals, one …