Regina Liu

Q: What Schools Are Affiliated With Regina Liu

Regina Liu is affiliated with the following schools: Rutgers University, Stanford University, Columbia University

Regina Liu's AcademicInfluence.com Rankings

Regina Liu

Mathematics

#7009

World Rank

#9611

Historical Rank

Statistics

#746

World Rank

#833

Historical Rank

mathematics Degrees

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Mathematics

Regina Liu's Degrees

PhD Statistics Stanford University
Masters Statistics Stanford University

Why Is Regina Liu Influential?

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According to Wikipedia, Regina Y. Liu is an American statistician. She is a distinguished professor of statistics and chair of the Department of Statistics and Biostatistics at Rutgers University. Her research concerns robust statistics and nonparametric statistics, including the first formulation of simplicial depth.

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Regina Liu'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

On a Notion of Data Depth Based on Random Simplices (1990) (860)
Multivariate analysis by data depth: descriptive statistics, graphics and inference, (with discussion and a rejoinder by Liu and Singh) (1999) (748)
Bootstrap Procedures under some Non-I.I.D. Models (1988) (684)
Moving blocks jackknife and bootstrap capture weak dependence (1992) (605)
A Quality Index Based on Data Depth and Multivariate Rank Tests (1993) (424)
Control Charts for Multivariate Processes (1995) (253)
Regression depth. Commentaries. Rejoinder (1999) (171)
DD-Classifier: Nonparametric Classification Procedure Based on DD-Plot (2012) (165)
Notions of Limiting P Values Based on Data Depth and Bootstrap (1997) (142)
New Nonparametric Tests of Multivariate Locations and Scales Using Data Depth (2004) (90)
Control Charts for Dependent and Independent Measurements Based on Bootstrap Methods (1996) (89)
Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness (2015) (75)
Ordering directional data: concepts of data depth on circles and spheres (1992) (74)
Exact Meta-Analysis Approach for Discrete Data and its Application to 2 × 2 Tables With Rare Events (2014) (70)
Options, Futures and Other Derivatives (2003) (69)
Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications, Proceedings of a DIMACS Workshop, New Brunswick, New Jersey, USA, May 14-16, 2003 (2006) (69)
Efficiency and robustness in resampling (1992) (63)
DDMA-charts: Nonparametric multivariate moving average control charts based on data depth (2004) (51)
Prediction with confidence—A general framework for predictive inference (2017) (48)
A Histogram Estimator of the Hazard Rate with Censored Data (1985) (45)
On a Partial Correction by the Bootstrap (1987) (43)
Monitoring multivariate aviation safety data by data depth: control charts and threshold systems (2000) (39)
Multivariate spacings based on data depth: I. Construction of nonparametric multivariate tolerance regions (2008) (37)
Practical Engineering Statistics (1997) (31)
Incorporating external information in analyses of clinical trials with binary outcomes (2013) (30)
Thresholding Events of Extreme in Simultaneous Monitoring of Multiple Risks (2009) (27)
Efficient network meta-analysis: a confidence distribution approach. (2014) (25)
Rank tests for multivariate scale difference based on data depth (2003) (24)
Using i.i.d. bootstrap inference for general non-i.i.d. models (1995) (22)
Multivariate density estimation by probing depth (1997) (20)
A formula for the tail probability of a multivariate normal distribution and its applications (2002) (20)
Detecting trends in time series of functional data: A study of Antarctic climate change (2014) (20)
Bridging Centrality and Extremity: Refining Empirical Data Depth Using Extreme Value Statistics (2015) (19)
Complex datasets and inverse problems : tomography, networks and beyond (2007) (19)
Mining and Tracking Massive Text Data: Classification, Construction of Tracking Statistics, and Inference Under Misclassification (2007) (17)
iFusion: Individualized Fusion Learning (2020) (17)
Asset Pricing: -Discrete Time Approach- (2002) (15)
Data Depth: Center-Outward Ordering of Multivariate Data and Nonparametric Multivariate Statistics (2003) (11)
Leveraging the Fisher randomization test using confidence distributions: Inference, combination and fusion learning (2020) (8)
Thresholds for Safety Inspection Measurements Based on Control Charts (1997) (8)
Does an observed zero-total-event study contain information for inference of odds ratio in meta-analysis? (2018) (7)
Pricing Mortgage-Backed Securities (2003) (7)
A New Control Variate Estimator for an Asian Option (2004) (6)
New Nonparametric Tests for Comparing Multivariate Scales Using Data Depth (2016) (6)
Nonparametric Fusion Learning for Multiparameters: Synthesize Inferences From Diverse Sources Using Data Depth and Confidence Distribution (2021) (5)
Mining Massive Text Data and Developing Tracking Statistics (2004) (5)
Exact Inference Methods for Rare Events (2018) (5)
Progress toward an inertial grade fiber optic gyroscope (1989) (5)
Extreme Value Theory Approach to Simultaneous Monitoring and Tresholding of Multiple Risk Indicators (2006) (4)
Mining and Tracking Massive Text Data (2007) (4)
Robust Rank-Based and Nonparametric Methods (2016) (4)
LINEAR FITTING BY SIMPLICIAL INTERCEPT DEPTH (SID): REFLECTION INVARIANCE AND ROBUSTNESS (2004) (4)
SIMULTANEOUS VARIABLE SELECTION AND OUTLIER DETECTION USING LASSO WITH APPLICATIONS TO AIRCRAFT LANDING DATA ANALYSIS (2012) (3)
A confidence distribution approach for an efficient network 1 meta-analysis (2013) (3)
Nonparametric fusion learning: synthesize inferences from diverse sources using depth confidence distribution (2020) (3)
10th International Workshop on Simulation and Statistics (2019) (2)
Discussion: Theoretical Comparison of Bootstrap Confidence Intervals (1988) (2)
The Term Structure of Spot Rates (2003) (2)
In Memory of Professor Kesar Singh (2013) (2)
Semi-supervised text classification: Partial training from unlabeled data (2006) (1)
p-Value as the Strength of Evidence Measured by Confidence Distribution (2020) (1)
The limiting distribution of the maximal deviation of a density estimate and a hazard rate estimate (1986) (1)
Text Classification for Mining Massive Aviation Inspection Reports (2002) (1)
Regression Depth: Comment (1999) (1)
COMBINING NONPARAMETRIC INFERENCES USING DATA DEPTH , BOOTSTRAP AND CONFIDENCE DISTRIBUTION (2014) (0)
Model Specifications in Applications (2003) (0)
Basic Probability Theory (2003) (0)
Valuation of Certificate of Deposit (CD) With Transfer Option (2003) (0)
Pricing Defaultable Bonds (2003) (0)
JSM 2017 Invited Session Proposals Sought (2016) (0)
Developments and Challenges in Mixture Models , Bump Hunting and Measurement Error Models (2002) (0)
Combining Information for Heterogeneous Studies and Rare Events Studies : a Confidence Distribution Approach by Dungang Liu Dissertation Director : (2012) (0)
Ch. 14. Multivariate control charts: Hotelling T2, data depth and beyond (2003) (0)
A Review of: “Practical Engineering Statistics” Daniel Schiff and Ralph D'Agastino John Wiley & Sons, Inc., 1995, 309 pp., $59.95, ISBM 0471547 (1997) (0)
Stock Option Theory and Its Applications (2003) (0)
Preliminary Program for Quantile Regression and Data Heterogeneity Workshop (2022) (0)
Pricing Models for Financial Assets (2003) (0)
Valuation of Derivatives Via Monte Carlo Methods (2003) (0)
The HJM Model for Bonds and Its Applications (2003) (0)
Control Charts for Dependent and Multivariate Measurements (1997) (0)
Estimates for the score function under random censoring (1986) (0)
On a notion of simplicial depth (0)
Quantile Regression and Data Heterogeneity Workshop (2022) (0)
General No-Arbitrage Asset Price Theory (2003) (0)

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Other Resources About Regina Liu

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What Schools Are Affiliated With Regina Liu?

Regina Liu is affiliated with the following schools:

Regina Liu's Academic­Influence.com Rankings