Rafael Izbicki | PhD Carnegie Mellon University 2014
Rafael Izbicki | PhD Carnegie Mellon University 2014
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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
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