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  
MuChia 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 LargeScale 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 ReplicaSymmetry in MeanField 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 DecisionMaking 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 VarianceAware 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 NonParametric and HighDimensional Distributions via InformationTheoretic 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 NonConvex 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 NeuroscienceInspired 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 ExpectationMaximization 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 CisewskiKehe / 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 HighDimensional 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 IllConditioned 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 informationtheoretic 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 EyeTracking 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 L1Penalization 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  
Tzuyi 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 SumProduct 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  
KwangIk Hong

M.A.  2005  
Jacob Katz
Website 
M.A.  2005  
SooHyun 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 onestep 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 Kmeans tree  
Anna Kochetkova
Website 
M.A.  2003  
Michelle Lacey
Website 
Ph.D.  2003  Joseph Chang / On convergence rates of the neighborjoining 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 timevarying 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 ReuningScherer
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 SpatialTemporal Model for Real Estate Price Indices  
Thomas Kelleher

Ph.D.  1995  John Hartigan / Admissibility of TestBased 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  
Zhongxin 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 / UProcesses and SemiParametric 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  
YuChiao 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 Twodimensional 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 Nonstandard 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  
JuiChen Hsu

M.A.  1987  
Tore Tollefsen

M.A.  1987  
JimYau 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 / UProcesses  
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 Changepoint  
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 / Nonparametric 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 Nonparametric 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  
HoLen 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 / Benefitcost 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  
RouhJane 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  
JeanMichel 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 Twodimensional 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 Timeseries Models  
Norman Johnson

Ph.D.  1974  John Hartigan / The Effect of Population Skewness on Confidence Intervals Determined from Meanlike 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 Twoarmed Bandit  
William DuMouchel

Ph.D.  1971  / Stable Distributions in Statistical Inference  
Charles Patrick

1971  
John Ramage

Ph.D.  1971  / A Perturbation Study of the kclass 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  