Ann B Lee
Ann B Lee
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Rafael Izbicki
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Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification
Diagnostics for Conditional Density Models and Bayesian Inference Algorithms
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
ABC-CDE: Toward Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation
A unified framework for constructing, tuning and assessing photometric redshift density estimates in a selection bias setting
Photo-z Estimation: An Example of Nonparametric Conditional Density Estimation under Selection Bias
Nonparametric Conditional Density Estimation in a High-Dimensional Regression Setting.
A Spectral Series Approach to High-Dimensional Nonparametric Regression
High-Dimensional density ratio estimation with extensions to approximate likelihood computation
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