| Religion as a protective factor against drug use among Brazilian university students: a national survey FC Gomes, AG de Andrade, R Izbicki, AM Almeida, LG de Oliveira Revista Brasileira de Psiquiatria 35 (1), 29-37, 2013 | 175 | 2013 |
| Screening for frailty with the FRAIL scale: a comparison with the phenotype criteria I Aprahamian, NO de Castro Cezar, R Izbicki, SM Lin, DLV Paulo, ... Journal of the American Medical Directors Association 18 (7), 592-596, 2017 | 160 | 2017 |
| Depressive morbidity and gender in community-dwelling Brazilian elderly: systematic review and meta-analysis R Barcelos-Ferreira, R Izbicki, DC Steffens, CM Bottino Int Psychogeriatr 22 (5), 712-26, 2010 | 147 | 2010 |
| Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST) SJ Schmidt, AI Malz, JYH Soo, IA Almosallam, M Brescia, S Cavuoti, ... Monthly Notices of the Royal Astronomical Society 499 (2), 1587-1606, 2020 | 125 | 2020 |
| Hypertension and frailty in older adults I Aprahamian, E Sassaki, MF Dos Santos, R Izbicki, RC Pulgrossi, ... The Journal of Clinical Hypertension 20 (1), 186-192, 2018 | 121 | 2018 |
| New image statistics for detecting disturbed galaxy morphologies at high redshift PE Freeman, R Izbicki, AB Lee, JA Newman, CJ Conselice, ... Monthly Notices of the Royal Astronomical Society 434 (1), 282-295, 2013 | 107 | 2013 |
| Converting high-dimensional regression to high-dimensional conditional density estimation R Izbicki, A B. Lee | 105 | 2017 |
| A subtest analysis of the Montreal cognitive assessment (MoCA): which subtests can best discriminate between healthy controls, mild cognitive impairment and Alzheimer's disease? JF Cecato, JE Martinelli, R Izbicki, MS Yassuda, I Aprahamian International psychogeriatrics 28 (5), 825-832, 2016 | 90 | 2016 |
| Nonparametric conditional density estimation in a high-dimensional regression setting R Izbicki, AB Lee Journal of Computational and Graphical Statistics 25 (4), 1297-1316, 2016 | 89 | 2016 |
| Flexible distribution-free conditional predictive bands using density estimators R Izbicki, GT Shimizu, RB Stern Proceedings of Machine Learning Research - AISTATS, 3068-3077, 2020 | 82 | 2020 |
| Aprendizado de máquina: uma abordagem estatística Izbicki, Rafael, TM Santos http://www.rizbicki.ufscar.br/AME.pdf, 2020 | 75* | 2020 |
| Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference N Dalmasso, T Pospisil, AB Lee, R Izbicki, PE Freeman, AI Malz Astronomy and Computing 30, 100362, 2020 | 63 | 2020 |
| Cd-split and hpd-split: Efficient conformal regions in high dimensions R Izbicki, G Shimizu, RB Stern Journal of Machine Learning Research 23 (87), 1-32, 2022 | 50 | 2022 |
| High-dimensional density ratio estimation with extensions to approximate likelihood computation R Izbicki, A Lee, C Schafer Artificial intelligence and statistics, 420-429, 2014 | 46 | 2014 |
| ABC–CDE: Toward approximate Bayesian computation with complex high-dimensional data and limited simulations R Izbicki, AB Lee, T Pospisil Journal of Computational and Graphical Statistics 28 (3), 481-492, 2019 | 43 | 2019 |
| Machine learning for predictive analyses in health: an example of an application to predict death in the elderly in São Paulo, Brazil HG Santos, CF Nascimento, R Izbicki, YAO Duarte, P Chiavegatto Filho, ... Cadernos de Saúde Pública 35, e00050818, 2019 | 41* | 2019 |
| A unified framework for constructing, tuning and assessing photometric redshift density estimates in a selection bias setting PE Freeman, R Izbicki, AB Lee Monthly Notices of the Royal Astronomical Society 468 (4), 4556-4565, 2017 | 41 | 2017 |
| A spectral series approach to high-dimensional nonparametric regression AB Lee, R Izbicki | 41 | 2016 |
| Can the CAMCOG be a good cognitive test for patients with Alzheimer's disease with low levels of education? I Aprahamian, JE Martinelli, J Cecato, R Izbicki, MS Yassuda International psychogeriatrics 23 (1), 96-101, 2011 | 39 | 2011 |
| Photo- estimation: An example of nonparametric conditional density estimation under selection bias R Izbicki, AB Lee, PE Freeman | 37 | 2017 |
Ann B. LeeDepartment of Statistics & Data Science and the Machine Learning Department, Carnegie MellonVerified email at cmu.edu