Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting

Flexible distribution-free conditional predictive bands using density estimators

Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations

Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference

The NN-Stacking: Feature weighted linear stacking through neural networks

WIKS: A general Bayesian nonparametric index for quantifying differences between two populations

Distance assessment and analysis of high-dimensional samples using variational autoencoders

Combinando métodos de aprendizado supervisionado para a melhoria da previsão do redshift de galáxia

Pragmatic hypotheses in the evolution of Science

Quantification under prior probability shift: the ratio estimator and its extensions

The quantification problem consists of determining the prevalence of a given label in a target population. However, one often has access to the labels in a sample from the training population but not in the target population. A common assumption in …