DINIZ, MARCIO ALVES; IZBICKI, RAFAEL; LOPES, DANILO; SALASAR, LUIS ERNESTO. Comparing probabilistic predictive models applied to football.** Journal of the Operational Research Society**, v. 70, n. 5, p. 770-782, MAY 4 2019. Web of Science Citations: 0. (14/25302-2, 17/03363-8)

VAZ, AFONSO FERNANDES; IZBICKI, RAFAEL; STERN, RAFAEL BASSI. Quantification Under Prior Probability Shift: the Ratio Estimator and its Extensions.** JOURNAL OF MACHINE LEARNING RESEARCH**, v. 20, 2019. Web of Science Citations: 0. (17/03363-8)

STERN, JULIO MICHAEL; IZBICKI, RAFAEL; ESTEVES, LUIS GUSTAVO; STERN, RAFAEL BASSI. Logically-consistent hypothesis testing and the hexagon of oppositions.** LOGIC JOURNAL OF THE IGPL**, v. 25, n. 5, p. 741-757, OCT 2017. Web of Science Citations: 1. (14/50279-4, 14/25302-2, 17/03363-8, 13/07375-0)

FREEMAN, P. E.; IZBICKI, R.; LEE, A. B.. A unified framework for constructing, tuning and assessing photometric redshift density estimates in a selection bias setting.** Monthly Notices of the Royal Astronomical Society**, v. 468, n. 4, p. 4556-4565, JUL 2017. Web of Science Citations: 1. (14/25302-2)

M. MUSETTI; R. IZBICKI. Combinando Métodos de Aprendizado Supervisionado para a Melhoria da Previsão do Redshift de Galáxias.** TEMA (São Carlos)**, v. 21, n. 1, p. 117-131, Abr. 2020. (19/11321-9, 17/03363-8)

CEREGATTI, RAFAEL DE CARVALHO; IZBICKI, RAFAEL; BUENO SALASAR, LUIS ERNESTO. WIKS: a general Bayesian nonparametric index for quantifying differences between two populations.** TEST**, MAY 2020. Web of Science Citations: 0. (19/11321-9, 17/03363-8)

COSCRATO, VICTOR; DE ALMEIDA INACIO, MARCO HENRIQUE; IZBICKI, RAFAEL. The NN-Stacking: Feature weighted linear stacking through neural networks.** Neurocomputing**, v. 399, p. 141-152, JUL 25 2020. Web of Science Citations: 0. (19/11321-9, 17/03363-8)

SCHMIDT, S. J.; MALZ, I, A.; SOO, J. Y. H.; ALMOSALLAM, I. A.; BRESCIA, M.; CAVUOTI, S.; COHEN-TANUGI, J.; CONNOLLY, A. J.; DEROSE, J.; FREEMAN, P. E.; et al. 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**, v. 499, n. 2, p. 1587-1606, DEC 2020. Web of Science Citations: 1. (19/11321-9)

DALMASSO, N.; POSPISIL, T.; LEE, A. B.; IZBICKI, R.; FREEMAN, P. E.; MALZ, A. I.. Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference.** ASTRONOMY AND COMPUTING**, v. 30, JAN 2020. Web of Science Citations: 0. (19/11321-9, 17/03363-8)

FOSSALUZA, VICTOR; IZBICKI, RAFAEL; DA SILVA, GUSTAVO MIRANDA; ESTEVES, LUIS GUSTAVO. Coherent Hypothesis Testing.** AMERICAN STATISTICIAN**, v. 71, n. 3, p. 242-248, 2017. Web of Science Citations: 0. (09/03385-5, 14/25302-2)

INACIO, MARCO; IZBICKI, RAFAEL; GYIRES-TOTH, BALINT. Distance assessment and analysis of high-dimensional samples using variational autoencoders.** INFORMATION SCIENCES**, v. 557, p. 407-420, MAY 2021. (19/11321-9, 17/03363-8)

SCHMIDT, S. J.; MALZ, I, A.; SOO, J. Y. H.; ALMOSALLAM, I. A.; BRESCIA, M.; CAVUOTI, S.; COHEN-TANUGI, J.; CONNOLLY, A. J.; DEROSE, J.; FREEMAN, P. E.; et al. 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**, v. 499, n. 2, p. 1587-1606, DEC 2020. (19/11321-9)

COSCRATO, VICTOR; DE ALMEIDA INACIO, MARCO HENRIQUE; IZBICKI, RAFAEL. The NN-Stacking: Feature weighted linear stacking through neural networks.** Neurocomputing**, v. 399, p. 141-152, JUL 25 2020. (19/11321-9, 17/03363-8)

M. MUSETTI; R. IZBICKI. Combinando Métodos de Aprendizado Supervisionado para a Melhoria da Previsão do Redshift de Galáxias.** TEMA (São Carlos)**, v. 21, n. 1, p. 117-131, Abr. 2020. (19/11321-9, 17/03363-8)

CEREGATTI, RAFAEL DE CARVALHO; IZBICKI, RAFAEL; BUENO SALASAR, LUIS ERNESTO. WIKS: a general Bayesian nonparametric index for quantifying differences between two populations.** TEST**, MAY 2020. (19/11321-9, 17/03363-8)

VALLE, DENIS; SHIMIZU, GILSON; IZBICKI, RAFAEL; MARACAHIPES, LEANDRO; SILVERIO, DIVINO VICENTE; PAOLUCCI, LUCAS N.; JAMEEL, YUSUF; BRANDO, PAULO. 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**, v. 11, n. 12, p. 7970-7979, JUN 2021. (19/11321-9)

DALMASSO, N.; POSPISIL, T.; LEE, A. B.; IZBICKI, R.; FREEMAN, P. E.; MALZ, A. I.. Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference.** ASTRONOMY AND COMPUTING**, v. 30, JAN 2020. (19/11321-9, 17/03363-8)

ESTEVES, LUIS G.; IZBICKI, RAFAEL; STERN, JULIO M.; STERN, RAFAEL B.. The Logical Consistency of Simultaneous Agnostic Hypothesis Tests.** Entropy**, v. 18, n. 7, JUL 2016. (14/25302-2, 13/07375-0, 14/50279-4)

LEE, ANN B.; IZBICKI, RAFAEL. A spectral series approach to high-dimensional nonparametric regression.** ELECTRONIC JOURNAL OF STATISTICS**, v. 10, n. 1, p. 423-463, 2016. (14/25302-2)

DA SILVA, GUSTAVO MIRANDA; ESTEVES, LUIS GUSTAVO; FOSSALUZA, VICTOR; IZBICKI, RAFAEL; WECHSLER, SERGIO. A Bayesian Decision-Theoretic Approach to Logically-Consistent Hypothesis Testing.** Entropy**, v. 17, n. 10, p. 6534-6559, OCT 2015. (14/25302-2, 09/03385-5)

ESTEVES, LUIS GUSTAVO; IZBICKI, RAFAEL; STERN, JULIO MICHAEL; STERN, RAFAEL BASSI. Pragmatic Hypotheses in the Evolution of Science.** Entropy**, v. 21, n. 9, SEP 2019. (14/50279-4, 19/11321-9, 13/07375-0, 17/03363-8, 14/25302-2)

COSCRATO, VICTOR; IZBICKI, RAFAEL; STERN, RAFAEL BASSI. Agnostic tests can control the type I and type II errors simultaneously.** BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS**, v. 34, n. 2, p. 230-250, MAY 2020. (19/11321-9, 17/03363-8)

DE ALMEIDA INACIO, MARCO HENRIQUE; IZBICKI, RAFAEL; SALASAR, LUIS ERNESTO. Comparing two populations using Bayesian Fourier series density estimation.** COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION**, v. 49, n. 1, p. 261-282, JAN 2 2020. (14/25302-2, 17/03363-8)

BORGES, LEONARDO M.; REIS, VICTOR CANDIDO; IZBICKI, RAFAEL. Schrodinger's phenotypes: Herbarium specimens show two-dimensional images are both good and (not so) bad sources of morphological data.** METHODS IN ECOLOGY AND EVOLUTION**, AUG 2020. (19/11321-9)