Rafael Izbicki

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	All	Since 2016
Citations	809	661
h-index	14	13
i10-index	22	20

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Co-authors

Ann B. LeeDepartment of Statistics & Data Science, Carnegie Mellon UniversityVerified email at cmu.edu
Rafael Bassi SternFederal University of São CarlosVerified email at ufscar.br
Luís Gustavo EstevesProfessor de Estatística, Universidade de São PauloVerified email at ime.usp.br
Ivan AprahamianFaculty of Medicine of JundiaíVerified email at usp.br
Peter FreemanCarnegie Mellon UniversityVerified email at cmu.edu
José Eduardo MartinelliFaculdade de Medicina de JundiaíVerified email at fmj.br
Dra Juliana F. CecatoProfessora da Universidade São Francisco (USF) e Professora colaboradora do Departamento de ClínicaVerified email at institutomartinelli.com.br
Julio Michael SternProfessor of Applied Mathematics, University of Sao PauloVerified email at ime.usp.br
Jeffrey A. NewmanAssociate Professor of Physics at Astronomy, University of PittsburghVerified email at pitt.edu
Marco InacioUniversity of São PauloVerified email at usp.br
Victor FossaluzaProfessor of Statistics, University of São PauloVerified email at usp.br
David SteffensUniversity of ConnecticutVerified email at uchc.edu
Chad SchaferCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Alexander Moreira-Almeida (ORCID:0...Associate Professor of Psychiatry, Director of the Research Center in Spirituality and Health (NUPESVerified email at medicina.ufjf.br
Arthur Guerra de AndradeProfessor Associado do Departamento de Psiquiatria da FMUSP e Professor Titular de Psicologia MédicaVerified email at usp.br
Lúcio Garcia de OliveiraDepartamento de Neurociências da Faculdade de Medicina do Abc, FMABCVerified email at fmabc.br
Victor CoscratoPhD Student, University College CorkVerified email at usp.br
Luis Ernesto Bueno SalasarUFSCarVerified email at ufscar.br
Carlos ALBERTO DE BRAGANÇA Per...PROFESSOR DE ESTATÍSTICA DA UNIVERSIDADE DE SÃO PAULOVerified email at IME.USP.BR
Eduardo Yoshio NakanoUniversidade de Brasília (UnB)Verified email at unb.br

Rafael Izbicki

Federal University of São Carlos

Verified email at ufscar.br - Homepage

Statistics Machine Learning Nonparametric Methods High-dimensional Inference Data Science


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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	117	2010
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	107	2013
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	59	2013
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	49	2016
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	43	2017
Converting high-dimensional regression to high-dimensional conditional density estimation R Izbicki, AB Lee Electronic Journal of Statistics 11 (2), 2800-2831, 2017	33	2017
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	32	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	30	2011
High-dimensional density ratio estimation with extensions to approximate likelihood computation R Izbicki, A Lee, C Schafer Artificial Intelligence and Statistics, 420-429, 2014	27	2014
Optimizing the CAMCOG test in the screening for mild cognitive impairment and incipient dementia: saving time with relevant domains I Aprahamian, BS Diniz, R Izbicki, M Radanovic, PV Nunes, OV Forlenza International journal of geriatric psychiatry 26 (4), 403-408, 2011	24	2011
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	21	2018
A spectral series approach to high-dimensional nonparametric regression AB Lee, R Izbicki Electronic Journal of Statistics 10 (1), 423-463, 2016	21	2016
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	20	2019
Logical consistency in simultaneous statistical test procedures R Izbicki, LG Esteves Logic Journal of the IGPL 23 (5), 732-758, 2015	16	2015
Testing allele homogeneity: the problem of nested hypotheses R Izbicki, V Fossaluza, AG Hounie, EY Nakano, CA de Braganca Pereira BMC genetics 13 (1), 103, 2012	14	2012
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	13	2017
Photo- estimation: An example of nonparametric conditional density estimation under selection bias R Izbicki, AB Lee, PE Freeman The Annals of Applied Statistics 11 (2), 698-724, 2017	13	2017
A Bayesian look at nonidentifiability: A simple example S Wechsler, R Izbicki, LG Esteves The American Statistician 67 (2), 90-93, 2013	13	2013
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	11*	2020
Aprendizado de máquina: uma abordagem estatística Izbicki, Rafael, TM Santos http://www.rizbicki.ufscar.br/AME.pdf, 2020	11*	2020

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