Publications

(2022). Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery. Annals of Applied Statistics.

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(2022). CD-split and HPD-split: Efficient conformal regions in high dimensions. Journal of Machine Learning Research.

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(2022). Likelihood-Free Frequentist Inference: Confidence Sets with Correct Conditional Coverage. Submitted.

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(2022). What if the forecaster knew? Assessing forecast reliability via simulation. TEMA..

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(2021). Diagnostics for Conditional Density Models and Bayesian Inference Algorithms. Proceedings of Machine Learning Research (UAI Track).

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(2021). Causas de desaparecimento no estado de São Paulo entre 2013 e 2014: uma análise automatizada de boletins de ocorrência. In RDPESP.

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(2021). Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones. Tackling Climate Change with Machine Learning workshop at NeurIPS 2021 (poster).

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(2021). The Latent Dirichlet Allocation model with covariates (LDAcov): a case study on the effect of fire on species composition in Amazonian forests. Ecology and Evolution.

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(2021). Distance assessment and analysis of high-dimensional samples using variational autoencoders. Information Sciences.

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(2021). How many hospitalizations has the COVID-19 vaccination already prevented in São Paulo?. Clinics.

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(2020). Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. Proceedings of Machine Learning Research (ICML Track).

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(2020). Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. Proceedings of Machine Learning Research (AISTATS Track).

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(2020). The NN-Stacking: Feature weighted linear stacking through neural networks. Neurocomputing.

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(2020). Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference. Astronomy and Computing.

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(2020). WIKS: A general Bayesian nonparametric index for quantifying differences between two populations. Test.

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(2020). Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST). Monthly Notices of the Royal Astronomical Society.

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(2020). Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. Communications in Computer and Information Science.

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(2020). Combinando métodos de aprendizado supervisionado para a melhoria da previsão do redshift de galáxia. TEMA – Tendências em Matemática Aplicada e Computacional.

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(2019). Pragmatic hypotheses in the evolution of Science. In Entropy.

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(2019). Quantification under prior probability shift: the ratio estimator and its extensions. Journal of Machine Learning Research.

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(2019). ABC-CDE: Toward Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations. Journal of Computational and Graphical Statistics.

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(2019). Machine learning para análises preditivas em saúde: exemplo de aplicação para predizer óbito em idosos de São Paulo. Caderno de Saúde Pública.

(2019). Avian haemosporidians in the cattle egret (Bubulcus ibis) from central-western and southern Africa: high diversity and prevalence. PLOS ONE.

(2019). Comparing probabilistic predictive models applied to football. Journal of the Operational Research Society..

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(2018). Comparing two populations using Bayesian Fourier series density estimation. Communications in Statistics – Simulation and Computation..

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(2018). Conditional density estimation using Fourier series and neural networks. KDMiLe - Symposium on Knowledge Discovery, Mining and Learning - Algorithms Track.

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(2018). Considerations for monitoring population trends of colonial waterbirds using the effective number of breeders and census estimates . Ecology and Evolution..

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(2018). Monitoramento online da dengue: usando o Google para predizer epidemias.. Revista Brasileira de Biometria.

(2018). Hypertension is associated with frailty in older adults. The Journal of Clinical Hypertension..

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(2017). A unified framework for constructing, tuning and assessing photometric redshift density estimates in a selection bias setting. Monthly Notices of the Royal Astronomical Society.

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(2017). Coherent hypothesis testing. The American Statistician.

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(2017). Logically-consistent hypothesis testing and the hexagon of oppositions. In LJIGPL.

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(2017). Prior Shift Using the Ratio Estimator. In 37th MaxEnt.

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(2017). Photo-z estimation: An example of nonparametric conditional density estimation under selection bias. The Annals of Applied Statistics.

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(2017). Frailty in older adults with aMCI due to AD: a comparison of two models of frailty characterization. Geriatrics & Gerontology International.

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(2017). Screening for frailty with the FRAIL scale: a comparison with the phenotype criteria. Journal of the American Medical Directors Association..

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(2017). Classificação morfológica de galáxias em conjuntos de dados desbalanceados.. TEMA – Tendências em Matemática Aplicada e Computacional.

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(2016). Nonparametric Conditional Density Estimation in a High-Dimensional Regression Setting.. Journal of Computational and Graphical Statistics.

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(2016). A Spectral Series Approach to High-Dimensional Nonparametric Regression.. Electronic Journal of Statistics.

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(2016). The Logical Consistency of Simultaneous Agnostic Hypothesis Tests. In Entropy.

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(2016). The Logical Consistency of Simultaneous Agnostic Hypothesis Tests. Entropy.

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(2016). A Bayesian Decision-Theoretic Approach to Logically-Consistent Hypothesis Testing. Entropy.

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(2015). Logical consistency in simultaneous statistical test procedures. Logic Journal of the IGPL.

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(2014). High-Dimensional density ratio estimation with extensions to approximate likelihood computation. Journal of Machine Learning Research (AISTATS Track).

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(2013). New image statistics for detecting disturbed galaxy morphologies at high redshift. Statistical Analysis and Data Mining.

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(2013). Religion as a protective factor against drug use among Brazilian university students: a national survey. Revista Brasileira de Psiquiatria.

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(2013). A Bayesian Look at Nonidentifiability: a Simple Example. The American Statistician.

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(2013). Learning with many experts: Model selection and sparsity. In SAM.

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(2012). Testing Allele Homogeneity: The Problem of Nested Hypotheses. BMC Genetics.

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(2011). Disequilibrium Coefficient: A Bayesian Perspective. Statistical Applications in Genetics and Molecular Biology.

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(2010). Depressive morbidity and gender in community-dwelling Brazilian elderly: systematic review and meta-analysis. International Psychogeriatrics.

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(2010). Optimizing the CAMCOG test in the screening for mild cognitive impairment and incipient dementia: saving time with relevant domains. International Journal of Geriatric Psychiatry.

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(2010). Can the CAMCOG be a good cognitive test for patients with Alzheimer’s disease with low levels of education?. International Psychogeriatrics.

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