machine learning

CD-split and HPD-split: efficient conformal regions in high dimensions

Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification

Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones

The Latent Dirichlet Allocation model with covariates (LDAcov): a case study on the effect of fire on species composition in Amazonian forests

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

Causas de desaparecimento no estado de são paulo entre 2013 e 2014: uma análise automatizada de boletins de ocorrência

Covid-19 Einstein Analysis

In this post I analyse the covid-19 data from https://www.kaggle.com/einsteindata4u/covid19, which contains information about patients from Albert Einstein’s Hospital, in São Paulo (Brazil). My main assumptions in the following analysis are that:

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

Flexible distribution-free conditional predictive bands using density estimators

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