Francesca Chiaromonte

Statistics and Probability · 2002–2013

A researcher in the Science corpus: 9 papers; trusts 22 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 49 citations into it; #2,429 of 12,932 by trust here, #2,108 by citations
• Genetics — 33 citations into it; #3,760 of 6,854 by trust here, #1,538 by citations
• Artificial Intelligence — 12 citations into it
• Control and Systems Engineering — 10 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Statistical Learning Theory — 9 citations into it
• Management Science and Operations Research — 6 citations into it; #4,878 of 11,946 by trust here, #6,563 by citations

Whom Francesca Chiaromonte trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ker-Chau Li
2. R. Dennis Cook
3. Bing Li
4. Ronald Christensen
5. Peter M. Bentler
6. Francis R. Bach
7. Alan J. Izenman
8. James R. Schott
9. David J. Hand
10. Shotaro Akaho

Who trusts Francesca Chiaromonte overall

1. R. Dennis Cook
2. Bing Li
3. Kenji Fukumizu
4. Xiangrong Yin
5. Eric Bair
6. Liliana Forzani
7. Yingcun Xia
8. Hansheng Wang
9. Wenhui Sheng
10. Chenlei Leng

Papers from Francesca Chiaromonte's perspective

Ordered by how strongly the researchers Francesca Chiaromonte trusts endorse each paper. Same corpus, a different order for every researcher.

1. Sliced Inverse Regression for Dimension Reduction
2. Support-Vector Networks
3. Dimension reduction for conditional mean in regression
4. Kernel independent component analysis
5. Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
6. Matrix analysis
7. Reduced-rank regression for the multivariate linear model
8. Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
9. Multivariate Reduced-Rank Regression: Theory and Applications
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Optimal sufficient dimension reduction in regressions with categorical predictors (2002) — 166 citations
• Genome sequence of the Brown Norway rat yields insights into mammalian evolution (2004) — 2,140 citations
• Contour regression: A general approach to dimension reduction (2005) — 335 citations
• Initial sequencing and comparative analysis of the mouse genome. (2002) — 4,291 citations
• Dimension reduction for the conditional mean in regressions with categorical predictors (2003) — 93 citations
• Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution (2004) — 2,677 citations
• Dimension reduction in regression without matrix inversion (2007) — 105 citations
• A general theory for nonlinear sufficient dimension reduction: Formulation and estimation (2013) — 110 citations
• ENVELOPE MODELS FOR PARSIMONIOUS AND EFFICIENT MULTIVARIATE LINEAR REGRESSION (2010) — 198 citations