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Rafael Izbicki

Centro de Ciências Exatas e de Tecnologia, Universidade Federal de São Carlos, São Carlos, Brasil.

47 papers hereh-index 262k citations93 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author9
  • middle author30
  • last author6

Across the 45 of 47 papers where every author was matched, so the position is known.

fields
  • stat.ME14
  • stat.ML12
  • math.ST5
  • stat.AP4
  • astro-ph.IM3
  • cs.LG3
affiliations
  • Centro de Ciências Exatas e de Tecnologia, Universidade Federal de São Carlos, São Carlos, Brasil.
Homepage
same name
  • Rafael Izbicki — 11 papers, h 5
  • Rafael Izbicki — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112023
most citedNew Image Statistics for Detecting Disturbed Galaxy Morphologies at High Redshift

91 citations · 581 across the 43 of their papers we have counts for

collaborators
Showing 2016Show all

3 papers · 1 filter

stat.AP2016

Photo-z Estimation: An Example of Nonparametric Conditional Density Estimation under Selection Bias

Rafael Izbicki, Ann B. Lee, Peter E. Freeman

Redshift is a key quantity for inferring cosmological model parameters. In photometric redshift estimation, cosmologists use the coarse data collected from the vast majority of gal…

stat.ME2016★ 53 cited

Nonparametric Conditional Density Estimation in a High-Dimensional Regression Setting

Rafael Izbicki, Ann B. Lee

In some applications (e.g., in cosmology and economics), the regression E[Z|x] is not adequate to represent the association between a predictor x and a response Z because of multi-…

stat.ME2016★ 36 cited

A Spectral Series Approach to High-Dimensional Nonparametric Regression

Ann B. Lee, Rafael Izbicki

A key question in modern statistics is how to make fast and reliable inferences for complex, high-dimensional data. While there has been much interest in sparse techniques, current…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.