Florentina Bunea | Academic Influence

Florentina Bunea's AcademicInfluence.com Rankings

Florentina Bunea

Mathematics

#6574

World Rank

#9084

Historical Rank

Statistics

#976

World Rank

#1070

Historical Rank

mathematics Degrees

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Mathematics

Florentina Bunea's Degrees

PhD Statistics Babeș-Bolyai University
Masters Statistics Babeș-Bolyai University
Bachelors Mathematics Babeș-Bolyai University

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Why Is Florentina Bunea Influential?

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According to Wikipedia, Florentina Bunea is a Romanian-American statistician, interested in machine learning, the theory of empirical processes, and high-dimensional statistics. She is a professor at Cornell University. Education and Career Bunea earned Bachelor's and Master's degrees at the University of Bucharest in 1989 and 1991. After working as an assistant professor at the Politehnica University of Bucharest from 1991 to 1995, she returned to graduate study at the University of Washington. She earned her Ph.D. there in 2000; her dissertation, A Model Selection Approach to Partially Linear Regression, was supervised by Jon A. Wellner.

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Florentina Bunea's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Sparsity oracle inequalities for the Lasso (2007) (481)
Aggregation for Gaussian regression (2007) (353)
Optimal selection of reduced rank estimators of high-dimensional matrices (2010) (216)
Functional classification in Hilbert spaces (2005) (162)
Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1+\ell_2$ penalization (2008) (126)
Penalized least squares regression methods and applications to neuroimaging (2011) (121)
Honest variable selection in linear and logistic regression models via ℓ 1 and ℓ 1 + ℓ 2 penalization (2008) (114)
Aggregation and Sparsity Via l1 Penalized Least Squares (2006) (103)
The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms (2013) (102)
Joint variable and rank selection for parsimonious estimation of high-dimensional matrices (2011) (100)
On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA (2012) (84)
Consistent covariate selection and post model selection inference in semiparametric regression (2004) (77)
Consistent variable selection in high dimensional regression via multiple testing (2006) (67)
Sparse Density Estimation with l1 Penalties (2007) (64)
SPADES AND MIXTURE MODELS (2009) (63)
Sequential Procedures for Aggregating Arbitrary Estimators of a Conditional Mean (2008) (57)
Consistent selection via the Lasso for high dimensional approximating regression models (2008) (47)
Experimental PIV and LIF characterization of a bubble column flow (2017) (45)
ENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancers (2015) (37)
Aggregation for Regression Learning (2004) (34)
Convex Banding of the Covariance Matrix (2014) (33)
Adaptive inference for the mean of a Gaussian process in functional data (2011) (33)
Two‐stage model selection procedures in partially linear regression (2004) (28)
Adaptive estimation in structured factor models with applications to overlapping clustering (2017) (28)
MODEL ASSISTED VARIABLE CLUSTERING: MINIMAX-OPTIMAL RECOVERY AND ALGORITHMS. (2015) (22)
From Probability to Statistics and Back: High-Dimensional Models and Processes: A Festschrift in Honor of Jon A. Wellner (2013) (21)
Covariate selection for semiparametric hazard function regression models (2005) (21)
Dimension reduction and variable selection in case control studies via regularized likelihood optimization (2009) (20)
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics (2018) (19)
PECOK: a convex optimization approach to variable clustering (2016) (19)
Hydropower impact on water quality. (2010) (17)
Interpolation under latent factor regression models (2020) (10)
Water Quality in Hydroelectric Sites (2012) (9)
Aspects concerning the quality of aeration for environmental friendly turbines (2010) (9)
Detection of cavitation vortex in hydraulic turbines using acoustic techniques (2014) (9)
Minimax Optimal Variable Clustering in G-models via Cord (2015) (9)
On the theoretic and practical merits of the banding estimator for large covariance matrices (2014) (8)
Adaptive Rank Penalized Estimators in Multivariate Regression (2010) (7)
Interpolating Predictors in High-Dimensional Factor Regression (2022) (7)
Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond (2021) (7)
Optimal estimation of sparse topic models (2020) (7)
High-Dimensional Inference for Cluster-Based Graphical Models (2018) (6)
Experimental Study of Standard Aeration Efficiency in a Bubble Column (2018) (6)
Experimental research on a hydrokinetic turbine model (2021) (5)
Inference in latent factor regression with clusterable features (2022) (5)
Minimax Adaptive Spectral Estimation From an Ensemble of Signals (2006) (5)
On the vortex parameter estimation using wide band signals in active acoustic system (2014) (5)
Essential regression (2019) (5)
Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets (2021) (5)
NUMERICAL SIMULATION OF THE FLOW IN THE DRAFT TUBE OF THE KAPLAN TURBINE (2012) (5)
Aeration solution of water used by hydraulic turbines to respect the environmental policies (2014) (5)
A new type of linear magnetostrictive motor (2017) (4)
Aspects of hydrodynamics and mass transfer in diffused aeration systems. (2010) (4)
Prediction of water aeration efficiency in high turbulent flow (2017) (4)
Aeration process influence over the operation of a small hydro turbine - generator unit (2017) (4)
Inference in Interpretable Latent Factor Regression Models (2019) (4)
Ecological Indices and Graphical Modeling of Factors In uencing Benthic Populations in Streams (1999) (4)
Community estimation in $G$-models via CORD (2015) (4)
Flow velocity profiling using acoustic time of flight flow metering based on wide band signals and adaptive beam-forming techniques (2016) (3)
Experimental analysis of the operation of a small Francis turbine equipped with an innovative aeration device (2019) (3)
Overlapping Variable Clustering with Statistical Guarantees (2017) (3)
A study of the asymptotic properties of Lasso for correlated data (2010) (3)
WATER PARAMETERS EVOLUTION IN A HYDROELECTRIC SITE (2010) (3)
Cavitating vortex characterization based on acoustic signal detection (2016) (3)
STAGES OF NOISES AND VIBRATIONS TO A BUTTERFLY VALVE IN WORKING WITH CAVITATION (2008) (3)
Latent Model-Based Clustering for Biological Discovery (2019) (3)
Study of Hydrokinetic Turbine Shrouds (2021) (3)
Hydraulic Turbine Performance Assessment with Implementation of an Innovative Aeration System (2021) (2)
Detecting approximate replicate components of a high-dimensional random vector with latent structure (2020) (2)
Experimental setup for the study of new aeration devices in hydraulic turbines (2017) (2)
Prediction in latent factor regression: Adaptive PCR and beyond (2020) (2)
A note on penalized minimum distance estimation in nonparametric regression (2003) (2)
Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations (2021) (2)
THE EFFECT OF SUPERFICIAL GAS VELOCITY ON BUBBLE SIZE DISTRIBUTION IN DIFFUSED AERATION SYSTEMS (2007) (2)
Mixing Flow Characteristics in cylindrical tank (2021) (1)
Experimental study of the flow induced by an axial hydrokinetic turbine (2023) (1)
Experimental setup to study two phase flows for environmental applications (2019) (1)
ENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancers (2015) (1)
Supplementary Materials to “Convex Banding of the Covariance Matrix” (2015) (1)
Cavitation characterization using wide band signals in an acoustic active sensing system (2016) (1)
The Sketched Wasserstein Distance for mixture distributions (2022) (1)
Experimental investigation of small axial hydro-kinetic turbines (2022) (1)
Winter Workshop on Dimension Reduction and High Dimensional Inference (2014) (1)
Draft Tube Length Influence on the Flow Inside Reactors with Intubated Impeller (2010) (0)
EVALUATION OF THE FLOW INDUCED BY DIFFERENT SHROUDS GEOMETRIES (2023) (0)
A Model Selection Approach to Semiparametric Regression (2007) (0)
Adaptive inference for the mean of a stochastic process in functional data (2009) (0)
Re-thinking High-dimensional Mathematical Statistics (2023) (0)
SLIDE: Significant Latent Factor Interaction Discovery and Exploration across biological domains (2022) (0)
THE MODERNIZATION OF THE SECONDARY INTAKES DRAXIN AND CASCOE (2012) (0)
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF HYDROKINETIC TURBINE SHROUDS (2022) (0)
A new type of linear magnetostrictive motor (2016) (0)
Matrix Estimation Meets Statistical Network Analysis: Extracting low-dimensional structures in high dimension (2019) (0)
Estimation and inference for the Wasserstein distance between mixing measures in topic models (2022) (0)
ANALYTICAL MODEL AND NUMERICAL FINITE ELEMENT MODEL FOR A SUBMERSIBLE SYNCHRONOUS HYDROGENERATOR (2023) (0)
CausER - a framework for inferring causal latent factors using multi-omic human datasets (2021) (0)
MCMC in I x J x K Contingency Tables Florentina Bunea Julian Besag NRCSE (0)
Minimax Optimal Variable Clustering in G-Block Correlation Models via Cord (2015) (0)
EXPERIMENTAL RESEARCH ON A KINETIC HYDRO TURBINE - GENERATOR ASSEMBLY (2023) (0)
Asymptotic confidence sets for random linear programs (2023) (0)
Assessment of cavitation regime in divergent vortex flows (2019) (0)

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