Alumni

Alumni are listed in reverse chronological order by “Graduation Year”.  Please use the exposed filters to sort the information based on what you are looking for.  If you are a Yale Statistics Department Alum and you see anything on this page that needs updating, please SUBMIT UPDATES FOR THE PAGE HERE.

Name Program Year Advisor / Dissertation Title
Colleen Chan
Ph.D. 2024 Jasjeet Sekhon / Interpretable Machine Learning and Causal Inference in Medicine and Public Health
Alexandra Djorno
Ph.D. 2024 Forrest W. Crawford / Extension of the Hawkes Process for Modeling Crowdfunding Platform Dynamics
Mu-Chia Lee
M.A. 2024
Raymond Lee
M.A. 2024
David Metrick
M.A. 2024
Yifei Min
Ph.D. 2024 Jasjeet Sekhon / Statistical Theory and Algorithms for Sequential Decision Making
Yutong Nie
Ph.D. 2024 Yihong Wu & Leying Guan / Fundamental Limits in Large-Scale Multiple Testing and Its Application
Rami Pellumbi
M.S. 2024
Tianhao Wang
Ph.D. 2024 Zhou Fan / Algorithm Dynamics in Modern Statistical Learning: Asymptotics, Universality, and Implicit Regularization
Timothy L.H. Wee
Ph.D. 2024 Sekhar Tatikonda / Characterizations of Replica-Symmetry in Mean-Field Spin Glasses
Andrew Yang
M.A. 2024
Madeline Bale
M.A. 2023
Siddharth Chandrappa
M.S. 2023
Jessica Eshenbaugh
M.A. 2023
Lorenzo Jaime Flores
M.A. 2023
Dipika Gawande
M.S. 2023
Emily Goldfarb
M.S. 2023
Rui Guan
M.S. 2023
Vijay Keswani
Ph.D. 2023 Elisa Celis / Algorithmic Decision-Making with Stakeholder Participation
Dohyun Lee
M.S. 2023
Si Kai Lee
M.A. 2023
Jacques Morris
M.A. 2023
Sahil Singh
M.S. 2023
Abigail Spears
M.S. 2023
Jiayi Wang
M.A. 2023
Kelly Wang
M.S. 2023
Zihan Wang
M.S. 2023
Ruitu Xu
Ph.D. 2023 John Lafferty / Optimization and Sequential Decision Making: Implicit Loss Functions and Variance-Aware Reinforcement Learning
Zihe Zheng
M.A. 2023
Xinyi Zhong
Ph.D. 2023 Zhou Fan / Approximate Message Passing Algorithms for General Random Matrices
Yuchen Zhu
M.A. 2023
Aditya Biswas
M.S. 2022
Daria Bobrova
M.S. 2022
James Brofos
Ph.D. 2022 Roy Lederman / Essays on Numerical Integration in Hamiltonian Monte Carlo
Siddhartha Chatterjee
M.S. 2022
Yiyun Chen
M.A. 2022
Brandon Chow
Ph.D. 2022 Harrison Zhou / A Semiparametric Efficient Approach To Label Shift Estimation and Quantification
Louis Deschuttere
M.S. 2022
Candice Djorno
M.A. 2022
Shiyu Dou
M.S. 2022
Nökkvi Elliðason
M.S. 2022
Jose Sidaoui Gali
M.S. 2022
Shiyao Gong
M.S. 2022
Hanwen Gu
M.S. 2022
Laura Herren
M.A. 2022
Soham Jana
Ph.D. 2022 Yihong Wu / Learning Non-Parametric and High-Dimensional Distributions via Information-Theoretic Methods
Sena Katako
M.S. 2022
Donald Kenney
M.A. 2022
Joshua Limpert
M.A. 2022
Yifan Liu
M.S. 2022
Thomas Lockwood
M.A. 2022
Elisa Loy
M.S. 2022
Yirui Luo
M.S. 2022
Geoffrey Martin
M.A. 2022
Justin Miller
M.A. 2022
Yousef Mustafa
M.S. 2022
Shuyu Rao
M.S. 2022
Tiernon Riesenmy
M.S. 2022
Evaneet Sachar
M.A. 2022
Xingzhi Sun
M.A. 2022
Sheng Xu
Ph.D. 2022 Zhou Fan & Sahand Negahban / Efficient Estimation of Signals via Non-Convex Approaches
Zhihao Xu
M.S. 2022
Tian Lu Xue
M.S. 2022
Jinming Zhang
M.S. 2022
Zipei Zhu
M.S. 2022
Lin Zhu
M.S. 2022
Xinyuan Chen
Ph.D. 2021 Joseph Chang / Analyzing Sequential Data with Bayesian Techniques and Hidden Markov Models
Zhanlin Chen
M.S. 2021
Brandon Henry
M.S. 2021
Parker Holzer
Ph.D. 2021 John Lafferty / Statistical Estimation and Inference Improvements for Exoplanet Discovery
Zifan Li
Ph.D. 2021 John Lafferty / On Neuroscience-Inspired Statistical and Computational Problems
Xiaorou Liang
M.S. 2021
Dylan O'Connell
Ph.D. 2021 Andrew Barron / Sampling from the Greedy Mixture Posterior
Eric Reynolds
M.A. 2021
Ganlin Song
Ph.D. 2021 John Lafferty / Learning, Optimization, and Data Translation with Deep Neural Networks
Hidde Verholt
M.S. 2021
Yiyang Wang
M.S. 2021
Fangming Xu
M.S. 2021
Mingrui Zhang
Ph.D. 2021 Sekhar Tatikonda & Amin Karbasi / Bandit Optimization for Convex Function and Submodular Function
Ivy Zhang
M.S. 2021
Christopher Allen
M.A. 2020
Yihan Bao
M.A. 2020
Matthew Benstock
M.A. 2020
Joseph Bongo
M.A. 2020
Saskia Comess
M.A. 2020
Brian Deng
M.A. 2020
Natalie Doss
Ph.D. 2020 Harrison Zhou & Yihong Wu / Detecting Latent Signal in High Dimensions: Estimation in Gaussian Mixtures and Nonparametric Models
Jingyi Duan
M.A. 2020
Elena Khusainova
Ph.D. 2020 David Pollard / Essays in Respondent Driven Sampling and Interpretable Machine Learning
Jiguang Li
M.A. 2020
Qianqian Li
M.A. 2020
Yaqi Lin
M.A. 2020
Pengqi Liu
M.A. 2020
Ryan Murphy
M.A. 2020
Sicheng Ouyang
M.A. 2020
Tal Sarig
Ph.D. 2020 Harrison Zhou / Statistical Guarantees for Clustering Gaussian Mixture Models with the Expectation-Maximization Algorithm
Eléanor Sealy
M.A. 2020
Mingjun Sun
M.A. 2020
Alexandra Djorno
M.A. 2019
Cen Huang
M.A. 2019
Min Kyung Kim
M.A. 2019
David Ko
M.A. 2019
Prateek Malik
M.A. 2019
Jenkin Tsui
M.A. 2019
Yujie Wang
M.A. 2019
Shuheng Wang
M.A. 2019
Alicia Williams
M.A. 2019
Xin Xu
Ph.D. 2019 Jessi Cisewski-Kehe / Locating Holes in Data with Topological Data Analysis and Applications in Astronomy
Yutaro Yamada
M.A. 2019
Xiaoqian Yang
Ph.D. 2019 David Pollard & Yihong Wu / A Few Topics in Statistics
Jingwen Zhang
M.A. 2019
Lijing Zhao
M.A. 2019
Xinyi Zhong
M.A. 2019
William Brinda
Ph.D. 2018 Andrew Barron & Joseph Chang / Adaptive Estimation with Gaussian Radial Basis Mixtures
Phoebe Cheung
M.A. 2018
Stephan Danyluk
M.A. 2018
Derek Feng
Ph.D. 2018 Harrison Zhou / The Unreasonable Effectiveness of Conditioning in Statistical Network Analysis
Ziyue Gao
M.A. 2018
Felix Gerding
M.A. 2018
Yuwei Jiang
M.A. 2018
Shadie Khubba
M.A. 2018
Joseph Kim
M.A. 2018
Jason Klusowski
Ph.D. 2018 Andrew Barron / Density, Function, and Parameter Estimation with High-Dimensional Data
Jiayi Li
M.A. 2018
Margaret Luo
M.A. 2018
Cameron Pringle
M.A. 2018
Yan Qi
M.A. 2018
Huachen Ren
M.A. 2018
Jonathan Seyhun
M.A. 2018
Daniel Snyder
M.A. 2018
Xiaoyu Tang
M.A. 2018
Sara Venkatraman
M.A. 2018
Li (Alex) Wei
M.A. 2018
Xiaochen Yang
M.A. 2018
Anderson Ye Zhang
Ph.D. 2018 Harrison Zhou / Community Detection: Fundamental Limits, Methodology, and Variational Inference
Mengran Zhang
M.A. 2018
Yibei Chen
M.A. 2017
Xingru Chen
M.A. 2017
Shylee Ezroni
M.A. 2017
Jonathan Harris
M.A. 2017
Seong Hwang
M.A. 2017
Wan Jiang
M.A. 2017
Meng Kuang
M.A. 2017
Haomiao Li
M.A. 2017
Linjia Li
M.A. 2017
Luhang Li
M.A. 2017
Guoling Liu
M.A. 2017
Yu Lu
Ph.D. 2017 Harrison Zhou / Statistical and Computational Guarantees for Learning Latent Variable Models
Xi Pan
M.A. 2017
Uri Shaham
Ph.D. 2017 Ronald R. Coifman and Sahand Negahban / Algorithms, Applications and Theoretical Properties of Deep Neural Networks
Yi Xuan
M.A. 2017
Xuefei Yang
M.A. 2017
Cynthia Rush
Ph.D. 2016
Xiao Yang
Ph.D. 2015
Saier Ye
Ph.D. 2015
Sabyasachi Chatterjee
Ph.D. 2014
Sanghee Cho
Ph.D. 2014
Zhao Ren
Ph.D. 2014
Xiaofei Wang
Ph.D. 2014
Taylor Arnold
Ph.D. 2013 John Emerson and Sekhar Tatikonda / Inference with Ill-Conditioned Design Matrices: Methodology and Implementations 
Varoon Bashyakarla
B.A. 2013
Patrick Burns
M.A. 2013
Brian Choi
M.A. 2013
Yuezhu (Rachel) He
M.A. 2013
Benjamin Johnson
M.A. 2013
Claire Kelley
B.A. 2013
Yang Liu
Ph.D. 2013 Joseph Chang / Optimizing the Use of Summary Statistics in Approximate Bayesian Computation 
Olivia Mala
M.A. 2013
Erin Michet
B.S. 2013
Dingjie (Diana) Wang
M.A. 2013
Yue (Emily) Wang
M.A. 2013
Hesu (Kevin) Yang
B.S. 2013
Yue (Karen) Yang
M.A. 2013
Luella Fu
M.A. 2012
Fan Hu
M.A. 2012
Antony Joseph
Ph.D. 2012 Andrew Barron / On achieving information-theoretic limits using high dimensional regression
Kyoung Hee Kim
Website
Ph.D. 2012 Harrison Zhou and David Pollard / Minimax Bounds for Estimation of Normal Location Mixtures
Michael McInerney
B.A. 2012
Daniel Ni
B.S. 2012
Daniel Sokoloff
M.A. 2012
Dahye Song
M.A. 2012
Sophia Tee
M.A. 2012
Bowen Wang
M.A. 2012
Kevin Zhang
B.S. 2012
Sang Hoon Bae
M.A. 2011
Daniel Campbell
Ph.D. 2011 Joseph Chang and Lisha Chen / Classification and Clustering of Functional Eye-Tracking Data for Autism Spectrum Disorders
Wei Dou
Ph.D. 2011 Harrison Zhou and David Pollard / Functional Regressions for General Exponential Families: A Theoretical and Applied Study
Chao Gao
M.A. 2011
Wenjing Ge
M.A. 2011
Adityanand Guntuboyina
Website
Ph.D. 2011 David Pollard / Minimax Lower Bounds
Steven Ho
M.A. 2011
Matthew Hui
M.A. 2011
Michael Kane
Website
Ph.D. 2011 Jay Emerson and David Pollard / Scalable Strategies for Computing with Massive Sets of Data
Pavel Kireyev
M.A. 2011
Zhen Li
M.A. 2011
Siyu (Leo) Liu
M.A. 2011
Anusorn (Pao) Minphimai
M.A. 2011
Reshma Patel
M.A. 2011
Diana Shen
B.A. 2011
Lin (Lindsay) Xu
M.A. 2011
Peisi Yan
Ph.D. 2011 Harrison Zhou / Asymptotic properties of parameter estimations for differential equations.
Arwin Zeissler
M.A. 2011
Ye Zhu
M.A. 2011
Albert Ahn
M.A. 2010
Joshua Beach
Website
M.A. 2010
Yunjin Choi
M.A. 2010
Creighton Heaukulani
M.A. 2010
Xing (James) Hu
Ph.D. 2010 Harrison Zhou / False discovery rate control with groups
Taehyung (Ted) Hwang
M.A. 2010
Chenhui Jiang
M.A. 2010
Liying Jin
M.A. 2010
Alan Kim
M.A. 2010
Dokyun Lee
M.A. 2010
Min Ji Lee
M.A. 2010
Xin Li
M.A. 2010
Andrew Lilly
Website
M.A. 2010
Haben Michael
Website
M.A. 2010
Michael Page
Website
M.A. 2010
JingJing Song
Website
M.A. 2010
Xiangcheng Xin
M.A. 2010
Hanyu Xu
M.A. 2010
Jing Ying
Ph.D. 2010
Chuyang Yuan
M.A. 2010
Yizhao Zhou
M.A. 2010
Jacopo Anselmi
M.A. 2009
Chandra Erdman
Website
Ph.D. 2009 Joseph Chang and Jay Emerson / Bayesian Change Point Analysis with Applications to Microarray Data
John Ferguson
Ph.D. 2009 Joseph Chang / Loss functions and approximations in selecting and ranking populations
Seongmin Han
Ph.D. 2009 Joseph Chang / Likelihood Ratio Tests in Variance Components Models for Identifying Genetic Risk factors for Complex Disorders Using Multiple Quantitative Traits
Steven Jaslar
Ph.D. 2009 David Pollard and Sekhar Tatikonda / The Asymptotics of Combinatorial Problems on Random Graphs
Xi Luo
Website
Ph.D. 2009 Andrew Barron / Penalized likelihoods : fast algorithms and risk bounds
Maria Claudia Prieto
Website
M.A. 2009
Xiao (Grace) Yang
M.A. 2009
Shengqing Zhu
Website
M.A. 2009
Cong Huang
Website
Ph.D. 2008 Andrew Barron / Risk of Penalized Least Squares,Greedy Selection and L1-Penalization for Flexible Function Libraries
YuiNyon Kim
Website
M.A. 2008
Wei Qiu
Ph.D. 2008 Andrew Barron / Maximal wealth portfolios
Jaclyn Scholl
M.A. 2008
Muting Wan
M.A. 2008
Tzu-yi Chuang
M.A. 2007
Yu Han
M.A. 2007
Sangwon Lee
M.A. 2007
Xiaoxian Luo
Ph.D. 2007 Joseph Chang / A new population Monte Carlo method using data reinforcement
Stephan Winkler
Ph.D. 2007 David Pollard and Sekhar Tatikonda / Uniqueness of Gibbs measures with Applications to Gibbs Sampling and the Sum-Product Algorithm
Brendan Beare
Website
M.A. 2006
Anna Haykin
M.A. 2006
JungJu Kim
M.A. 2006
Michael Moldoff
M.A. 2006
Dean Palejev
Ph.D. 2006 John Hartigan / A bimodality test in high dimensions
Xiaochuan Wang
Website
M.A. 2006
Christine Ye
M.A. 2006
Seonghee Han
M.A. 2005
Kwang-Ik Hong
M.A. 2005
Jacob Katz
Website
M.A. 2005
Soo-Hyun Kim
M.A. 2005
Charles Melchreit
Website
M.A. 2005
Eduardas Valaitis
Website
Ph.D. 2005 John Hartigan / Tests for bimodality in normal mixtures
Brian Valaitis
Website
M.A. 2005
Yuan Zeng
Website
M.A. 2005
Jing Cao
M.A. 2004
Susan Clapp [Perrone]
M.A. 2004
Daniela Cojocaru
Website
Ph.D. 2004 Nicolas Hengartner / A strategy for parameter estimation in the nonlinear errors in variables model
Gheorghe Doros
Website
Ph.D. 2004 David Pollard / A class of one-step estimators in interval censoring
Gilbert Leung
Website
Ph.D. 2004 Andrew Barron / Improving regression through model mixing
Marios Panayides
Website
Ph.D. 2004 John Hartigan / The market making system of the NYSE and other markets : implementation in emerging markets
Peter Radchencko
Website
Ph.D. 2004 David Pollard  / Asymptotics under nonstandard conditions
John (Jay) Emerson
Website
Ph.D. 2003 John Hartigan / Asymptotic admissibility and Bayesian estimation
Kun Gao
Ph.D. 2003 John Hartigan / The K-means tree
Anna Kochetkova
Website
M.A. 2003
Michelle Lacey
Website
Ph.D. 2003 Joseph Chang / On convergence rates of the neighbor-joining method for phylogeny reconstruction
Cheryl Larson
M.A. 2003
Richard Stockton
M.A. 2003
Makram Talih
Website
Ph.D. 2003 Nicolas Hengartner / Markov random fields on time-varying graphs, with an application to portfolio selection
Mihaela Aslan
Website
Ph.D. 2002 John Anthony Hartigan / Asymptotically Minimax Bayes Predictive Densities
Feng Liang
Website
Ph.D. 2002 Andrew Barron / Exact Minimax Procedures for Predictive Density Estimation and Data Compression
Ronald Wilkins
M.A. 2002
Laura Novak (McKinney)
Ph.D. 2001 John Hartigan / Classification and Prediction of Stock Price Behavior
Benjamin Axler
M.A. 2000
Andrew Carter
Website
Ph.D. 2000 David Pollard / Asymptotic Equivalence of Nonparametric Experiments
Patrick Fitzsimonds
Website
M.A. 2000
Hua Julia Li
M.A. 2000
Akihiro Nakamura
M.A. 2000
Alexandra Thiry
Ph.D. 2000 John Hartigan / Bayesian Regression with Coefficients Probably Zero
Jason Cross
Website
Ph.D. 1999 Andrew Barron / Universal Portfolios for Target Classes Having a Continuous Form of Dependence on Side Information
Elena Goncharova
M.A. 1999
Dan Kryzman
M.A. 1999
Sally Lesik
Website
M.A. 1999
Jonathan Li
Website
Ph.D. 1999 Andrew Barron / Density Estimation Using Mixture Models
Thomas (Brendan) Murphy
Website
Ph.D. 1999 John Hartigan / Risk Robust Priors
Gerald Cheang
Website
Ph.D. 1998 Andrew Barron / Neural Network Approximation and Estimation of Functions
Xuemei Liu
Ph.D. 1998 John Hartigan / Covariance Estimation in Hierarchical Repeated Measures, Applied to Evaluation of the Effects of Parental Smoking on Asthmatic Children
Andreas Schulz
M.A. 1998
Ronald (Ron) Fricker
Website
Ph.D. 1997
Carin Kuo
M.A. 1997
Franklin Parlamis
Website
M.A. 1997
Jonathan Reuning-Scherer
Website
Ph.D. 1997 John Hartigan / Mixture Models for Block Clustering
Qun Xie
Website
Ph.D. 1997 Andrew Barron  / Minimax Coding and Prediction
Yuewu Xu
Website
Ph.D. 1997 David Pollard / Asymptotic theory in the presence of unidentified parameters
Karna Bryan
Website
M.A. 1996
Yuhong Yang
Website
Ph.D. 1996 Andrew Barron  / Minimax Optimal Density Estimation
Edwin (Ed) Iversen
Website
Ph.D. 1995 John Hartigan / A Spatial-Temporal Model for Real Estate Price Indices
Thomas Kelleher
Ph.D. 1995 John Hartigan / Admissibility of Test-Based Estimators
Monica Nordeen (Kester)
Website
M.A. 1995
Frances Barry
M.A. 1994
Mihoko Hanafuji
M.A. 1994
Amy Kiuchi
Ph.D. 1994 John Hartigan / Predicting Progression to Aids Using Change Points in the Series of T4 Counts
Zhiwei Ma
Ph.D. 1994 John Hartigan / Resampling a Stationary Time Series
Jiyeon Suh
M.A. 1994
Zhong-xin Zhang
Ph.D. 1994 John Hartigan / Discrete Noninformative Priors
Dominic Bennett
M.A. 1993
Hemant Ishwaran
Website
Ph.D. 1993 David Pollard  / Rates of Convergence in Semiparametric Mixture Models
Gregory Rozal
Ph.D. 1993 John Hartigan / Exploring Features of Multivariate Distributions Using Constrained Spanning Trees
Evelyn Crowley
Ph.D. 1992 John Hartigan / Estimator of Clustered Parameters
David Riceman
Ph.D. 1992 David Pollard and John Hartigan / An Estimator for the Linear Model
Surya Mohanty
Website
Ph.D. 1991 John Hartigan / Detecting Biomodality Using Minimal Spanning Tree
Sean O'Cathain
M.A. 1991
Robert Sherman
Website
Ph.D. 1991 David Pollard  / U-Processes and Semi-Parametric Estimation
Anna Nicolaou
Website
Ph.D. 1990 John Hartigan / Confidence Intervals for a Scalar Parameter of Interest in the Presence of Nuisance Parameters
Donna Wagner
M.A. 1990
Yu-Chiao Chang
M.A. 1989
Ruth Daniel
Ph.D. 1989 John Hartigan / Probability Models for Hominoid Molecular Evolution
William Kahn
Ph.D. 1989 John Hartigan / Estimation of Discontinuous Two-dimensional Functions
Mona Kella
M.A. 1989
Yukari Motoyama
M.Phil. 1989 John Hartigan / Detecting Biomodality Using Minimal Spanning Tree
Robert Brunell
M.A. 1988 John Hartigan / Robust Estimation Using Sample Spacings
Michael Escobar
Website
Ph.D. 1988 John Hartigan / Estimating the Means of Several Normal Populations by Nonparametric Estimation of the Distribution of the Means
Yuichiro Kanazawa
Website
Ph.D. 1988 John Hartigan  / An Optimal Variable Cell Histogram Based on the Sample Spacings.
Jeankyung Kim
Website
Ph.D. 1988 David Pollard  / An Asymptotic Theory for Optimization Estimators with Non-standard Rates of Convergence
Frederique Vernhes
M.Phil. 1988
Kenneth Cheng
M.A. 1987
Bernard Eydt
M.A. 1987
Joan Foland
M.Phil. 1987
Heidi Goldstein Aronson
M.A. 1987
Jui-Chen Hsu
M.A. 1987
Tore Tollefsen
M.A. 1987
Jim-Yau Wan
Ph.D. 1987 I. Richard Savage / Competing Risks with Covariates
John Fox
Ph.D. 1986 John Hartigan / Probability Models on the Sphere for Genetic Fate Mapping
Albyn Jones
Website
Ph.D. 1986 John Hartigan / A Stochastic Analysis of the Propogation of Error in Floating Point Calculations
Atsuyuki Kogure
Website
Ph.D. 1986 John Hartigan / Optimal Cells for Histogram
Deborah Nolan
Website
Ph.D. 1986 David Pollard / U-Processes
Marilyn Stolar
M.A. 1986
David Austin
M.A. 1985
Jacinto Fombona
M.A. 1985
Abbe Herzig (Jamner)
M.Phil. 1985
Tom (Siu Tong) Au
1984 John Hartigan / Estimation of a Change-point
Edward Carlstein
Website
1984 John Hartigan / Aysmptotic Normality and Variance Estimation for a General Statistic from a Stationary Process
Wei Liu
M.A. 1984
Philip Rosenberg
Website
M.A. 1984
Lynn Truss
M.A. 1984
Daniel Barry
Website
Ph.D. 1983 John Hartigan / Non-parametric Bayesian Regression
Antonio Possolo
Website
Ph.D. 1983 John Hartigan  / Spatial Point Processes
Bruce Roberts
Website
M.Phil. 1983
Daniel Zelterman
Ph.D. 1983 I. Richard Savage / Goodness of Fit Tests for Large Sparse Tables of Categorical Data
Jonathan Arnold
Website
Ph.D. 1982 I. Richard Savage / Statistics of Natural Population: Seasonal Variation in Inversion Frequencies of Mexican Drosophila Pseudobscura
John Irvine
Website
Ph.D. 1982 Frank Anscombe / Change in Regime in Regression Models
Stuart Newstead
Website
M.Phil. 1982
John Paredes
M.Phil. 1982
Michael Powers
Website
M.A. 1982
Daniel Ramey
Ph.D. 1982 John Hartigan / A Non-parametric Test of Bimodality with Applications to Cluster Analysis
Sten Bergman
Ph.D. 1981 I. Richard Savage / Acceptance Sampling:The Buyer's Problem
Brian Draper
M.Phil. 1981
Gary Oehlert
Website
Ph.D. 1981 John Hartigan  / Estimating the Mean of a Positive Random Variable
James Attwood Jr
Website
1980
Ho-Len Chang
M.Phil. 1980
Jeffrey Simonoff
Website
Ph.D. 1980 John Hartigan / A Penalty Function Approach to Smoothing Large Sparse Contingency Tables
Silvi Liberman
M.A. 1979
Christel Mack
M.A. 1979
Steven Schwager
Website
Ph.D. 1979 Barry Margolin / Detection of Multivariate Outliers
Bruce Spencer
Website
Ph.D. 1979 I. Richard Savage / Benefit-cost Analysis of Data Used to Allocate Funds: General Revenue Sharing
Anthony Wong
Ph.D. 1979 John Hartigan  / Hybrid Clustering
David Yee
M.A. 1979
Adnan Awad
Ph.D. 1978 John Hartigan / A Martingale Approach to the Asymptotic Normality of Posterior Distributions
Rouh-Jane Chou
Website
Ph.D. 1978 Robb Muirhead / Asymptotic Behavior of Some Distributions in Multivariate Analysis with Applications to Testing and Estimation
Lorraine DeRobertis
Ph.D. 1978 John Hartigan / The Use of Partial Prior Knowledge in Bayesian Inference
Ellen Post
M.Phil. 1978
William Glynn
Ph.D. 1977 Robb Muirhead / Asymptotic Distribution of Latent Roots in Canonical Correlation and Discriminant Analysis with Applications to Testing and Estimation
William Eddy
Website
Ph.D. 1976 John Hartigan / Optimum Kernel Estimators of the Mode
Gokul Ghia
Website
Ph.D. 1976 John Hartigan / Truncated Generalized Bayes Tests
Takashi Miyawaki
Ph.D. 1976 John Hartigan / Mixture of Two Distributions: A Bayesian Rejection of Outliers
Jean-Michel Pomarede
Ph.D. 1976 Ward Whitt / A Unified Approach via Graphs to Skorohod's Topologies on the Function Space
Stephen Record
M.A. 1976
Yohanan Wax
Ph.D. 1976 John Hartigan / The Adjusted Covariance Regression Estimate
Camille Courade
M.Phil. 1975
Gerard Dallal
Website
Ph.D. 1975 John Hartigan / Simple Interaction Models for Two-dimensional Contingency Tables
Herman Friedman
M.Phil. 1975
Lawrence Rafsky
Website
Ph.D. 1975 / On the Admissibility of Proportions Observed in Samples Drawn with Replacement
Christine Waternaux
Website
Ph.D. 1975 John Hartigan / Asymptotic Distribution of the Sample Roots for a Nonnormal Population
Nancy C. Anthony
Website
M.Phil. 1974
Diccon Bancroft
M.Phil. 1974
Yasuko Chikuse
Ph.D. 1974 Robb Muirhead / Asymptotic Expansions for the Distributions of the Latent Roots of Two Matrices in Multivariate Analysis
Francois DuMontet
M.Phil. 1974
Yuzo Hosoya
Website
Ph.D. 1974 Barry H. Margolin / Estimation Problems on Stationary Time-series Models
Norman Johnson
Ph.D. 1974 John Hartigan / The Effect of Population Skewness on Confidence Intervals Determined from Mean-like Statistics
Theresa Lo (Chen)
M.Phil. 1974
John Yadvish
M.Phil. 1974
Ralph Johnston
M.A. 1973
Gilles Santini
M.Phil. 1973
Jack Alanen
Website
Ph.D. 1972 Leonard Jimmie Savage / Empirical Study of Aliquot Series
Donald Archibald
Website
M.Phil. 1972
Lorenzo Falcidieno
M.Phil. 1972
Howard Gilbert
M.Phil. 1972
Susan Kornstein
Website
M.Phil. 1972
Donald Berry
Website
Ph.D. 1971 Joseph Kadane and Leonard Jimmie Savage / A Bernoulli Two-armed Bandit
William DuMouchel
Ph.D. 1971 / Stable Distributions in Statistical Inference
Charles Patrick
1971
John Ramage
Ph.D. 1971 / A Perturbation Study of the k-class Estimators in the Presence of Specification Error
William Chin
M.Phil. 1970
Robert Ling
Ph.D. 1970 John Hartigan / Cluster Analysis
Louis Montoya
M.Phil. 1970
Pierre Pilon
M.Phil. 1970
William Cleveland
Website
Ph.D. 1969 Leonard Jimmie Savage / Time Series Projections: Theory and Practice
John Mellman
M.Phil. 1969
William Winter
1969
Daniel Relles
Website
Ph.D. 1968 / Robust Regression by Modified Least Squares
Bhupendra Shah
Ph.D. 1968 / Distribution Theory of Quadratic Forms
Richard Olshen
Website
Ph.D. 1966 Frank Anscombe and Jimmie Savage / Asymptotic Properties of the Periodogram of a Discrete Stationary Process
James Lucas
M.S. 1965
Anne Parkhurst
Website
M.S. 1965
Carleton Walker
M.S. 1965
Christopher Bingham
Ph.D. 1964