Submissions from 2013
A Conformal Prediction Approach to Explore Functional Data, Jing Lei, Alessandro Rinaldo, and Larry Wasserman
The Strength of Arcs and Edges in Interaction Networks: Elements of a Model-Based Approach, Mauricio Sadinle
A Generalized Fellegi-Sunter Framework for Multiple Record Linkage With Application to Homicide Record-Systems, Mauricio Sadinle and Stephen E. Fienberg
Submissions from 2012
Density-Sensitive Semisupervised Inference, Martin Azizyan, Aarti Singh, and Larry Wasserman
Minimax Rates for Homology Inference, Sivaraman Balakrishnan, Alessandro Rinaldo, Donald Sheehy, Aarti Singh, and Larry Wasserman
Mediation Analysis: Expanding From One Mediator to Multiple Mediators, Brittanie Boone
Incorporating Flexibility into the Normalized Cut Image Segmentation Algorithm, Yi Xiang Chong
Generalized fiducial inference for normal linear mixed models, Jessica Cisewski and Jan Hannig
Optimal Classification in Sparse Gaussian Graphic Model, Yingying Fan, Jiashun Jin, and Zhigan Yao
Mixed Membership Distributions with Applications to Modeling Multiple Strategy Usage, April Galyardt
Testing for Main Random Effects in Two-Way Random and Mixed Effects Models: Modifying the F Statistic, Trent Gaugler and Michael G. Akritas
Learning Spatio-Temporal Dynamics: Nonparametric Methods for Optimal Forecasting and Automated Pattern Discovery, Georg Matthias Goerg
LICORS: Light Cone Reconstruction of States for Non-parametric Forecasting of Spatio-Temporal Systems, Georg M. Goerg and Cosma R. Shalizi
On Becoming a Bayesian: Early Correspondences between J Cornfield and LJ Savage, Joel B. Greenhouse
Differential Privacy for Functions and Functional Data, Robert J. Hall, Alessandro Rinaldo, and Larry Wasserman
Detection of Non-Regular Galaxies at High Redshift, Rafael Izbicki, Ann B. Lee, Peter Freeman, and Jeffrey A. Newman
Fast Community Detection by Score, Jiashun Jin
Optimality of Graphlet Screening in High Dimensional Variable Selection, Jiashun Jin, Cun-Hui Zhang, and Qi Zhang
Covariance Assisted Screening and Estimation, Tracy Ke, Jiashun Jin, and Jiaqing Fan
Sparse Nonparametric Graphical Models, John Lafferty, Han Liu, and Larry Wasserman
Distribution Free Prediction Bands, Jing Lei and Larry Wasserman
High Dimensional Semiparametric Gaussian Copula Graphical Models, Han Liu, Fang Han, Ming Yuan, John Lafferty, and Larry Wasserman
A significance test for the lasso, Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani, and Robert Tibshirani
Generalization Error Bounds for Time Series, Daniel J. McDonald
Consistency under Sampling of Exponential Random Graph Models, Cosma R. Shalizi and Alessandro Rinaldo
The Prime Residue Class of Finitely Additive Distributions Uniform on the Integers, Michael Spece and Joseph B. Kadane
The Lasso Problem and Uniqueness, Ryan J. Tibshirani
Degrees of freedom in lasso problems, Ryan J. Tibshirani and Jonathan Taylor
Minimax Rates of Estimation for Sparse PCA in High Dimensions, Vincent Vu and Jing Lei
Minimax Sparse Principal Subspace Estimation in High Dimensions, Vincent Q. Vu and Jing Lei
Behavioral Modeling of Botnet Populations Viewed through Internet Protocol Address Space, Rhiannon Weaver
Model Selection for Degree-corrected Block Models, Xiaoran Yan, Jacob E. Jenson, Florent Krzakala, Christopher Moore, Cosma R. Shalizi, Lenka Zdeborova, Pan Zhang, and Yaojia Zhu
Dissertations from 2011
High-Dimensional Adaptive Basis Density Estimation, Susan Buchman
Estimating the Survival Distribution of Aluminum Processing Pots, Emily L. Butler
Activized Learning: Transforming Passive to Active with Improved Label Complexity, Steve Hanneke
Assessment of Aortic Aneurysm Rupture Risk, Rafael Izbicki, Ann B. Lee, and Ender A. Finol
Semi-Automated Collection of Pitch Location and Intent in Baseball, Andrew D. Klein
Exploration of Imputation Methods for Missingness in Image Segmentation, Christopher Makris
The Short Time Fourier Transform and Local Signals, Shuhei Okamura
Can the Internet grade math? Crowdsourcing a complex scoring task and picking the optimal crowd size, Nathan Van Houdnos
Frasian Inference, Larry Wasserman
Dissertations from 2010
Hyper Markov Non-Parametric Processes for Mixture Modeling and Model Selection, Daniel Heinz
Power Prediction in Large Scale Multiple Testing: A Fourier Approach, Avranil Sarkar
An Analysis of a Ninth Grade Mathematics Intervention, Tracy Morrison Sweet
Submissions from 2009
Sampling Weights in a Bayesian Grade of Membership Model, Marianne Bertolet
Sampling Weights, Model Misspecification and Informative Sampling: A Simulation Study, Marianne Bertolet
On the Geometry of Discrete Exponential Families with Application to Exponential Random Graph Models, Stephen E. Fienberg, Alessandro Rinaldo, and Yi Zhou
Analysis of a Web-based Network of Educators, April Galyardt, Turadg Aleahmad, Stephen E. Fienberg, Brian W. Junker, and Steve Hargadon
Algebraic Statistics for a Directed Random Graph Model with Reciprocation, Sonja Petrovic, Alessandro Rinaldo, and Stephen E. Fienberg
Low-Noise Density Clustering, Alessandro Rinaldo and Larry Wasserman
Dynamics of Bayesian updating with dependent data and misspecified models, Cosma R. Shalizi
Joint Quantile Regression through Bayesian Semiparametrics, Surya T. Tokdar and Joseph B. Kadane
Submissions from 2008
Calculating Remittiturs, Joseph B. Kadane
Robust Smoothing: Smoothing Parameter Selection and Applications to Fluorescence Spectroscopy, Jong Soo Lee and Dennis D. Cox
On the ℓ1-ℓq Regularized Regression, Han Liu and Jian Zhang
Autoregressive Process Modeling via the Lasso Procedure, Yuval Nardi and Alessandro Rinaldo
On the Asymptotic Properties of The Group Lasso Estimator for Linear Models, Yuval Nardi and Alessandro Rinaldo
Clustering with Confidence: A Binning Approach, Rebecca Nugent and Werner Stuetzle
Exploiting Low-Dimensional Structure in Astronomical Spectra, Joseph W. Richards, Peter Freeman, Ann B. Lee, and Chad M. Schafer
A Note on the Uniqueness of the Lasso Solution, Alessandro Rinaldo
Properties and Refinements of The Fused Lasso, Alessandro Rinaldo
On the equivalence of conglomerability and disintegrability for unbounded random variables, Mark J. Schervish, Teddy Seidenfeld, and Joseph B. Kadane
Proper Scoring Rules, Dominated Forecasts, and Coherence, Mark J. Schervish, Teddy Seidenfeld, and Joseph B. Kadane
Submissions from 2007
IRT Modeling of Tutor Performance To Predict End-of-year Exam Scores, Elizabeth Ayers and Brian W. Junker
Power-law distributions in empirical data, Aaron Clauset, Cosma R. Shalizi, and M. E.J. Newman
Pointwise Testing with Functional Data Using the Westfall-Young Randomization Method, Dennis D. Cox and Jong Soo Lee
Maximum Likelihood Estimation in Latent Class Models For Contingency Table Data, Stephen E. Fienberg, Patricia Hersh, Alessandro Rinaldo, and Yi Zhou
Adaptive Confidence Bands, Christopher Genovese and Larry Wasserman
Generalizing from Clinical Trial Data: A Case Study. The Risk of Suicidality Among Pediatric Antidepressant Users, Joel B. Greenhouse, Eloise E. Kaizar, Kelly Kelleher, Howard Seltman, and William Gardner
Is Ignorance Bliss?, Joseph B. Kadane, Mark J. Schervish, and Teddy Seidenfeld
Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets, Cari Kaufmann, Mark J. Schervish, and Douglas Nychka
Treelets —An Adaptive Multi-Scale Basis for Sparse Unordered Data, Ann B. Lee, Boaz Nadler, and Larry Wasserman
The Log-linear Group Lasso Estimator and Its Asymptotic Properties, Yuval Nardi and Alessandro Rinaldo
A Statistical Method for Estimating Luminosity Functions using Truncated Data, Chad M. Schafer
Constructing Confidence Regions of Optimal Expected Size, Chad M. Schafer and Philip B. Stark
Coherent Choice Functions under Uncertainty, Teddy Seidenfeld, Mark J. Schervish, and Joseph B. Kadane
Maximum Likelihood Estimation for q-Exponential (Tsallis) Distributions, Cosma R. Shalizi
Discovering Functional Communities in Dynamical Networks, Cosma R. Shalizi, Marcelo F. Camperi, and Kristina Lisa Klinkner
A Generalized Single Linkage Method for Estimating the Cluster Tree of a Density, Werner Stuetzle and Rebecca Nugent
Submissions from 2006
Inferring Galaxy Morphology Through Texture Analysis, Kinman Au, Christopher Genovese, and Andrew Connolly
Universal Residuals: A Multivariate Transformation, Anthony Brockwell
A Penalized Likelihood Approach to Magnetic Resonance Image Reconstruction, Vera L. Bulaevskaya and Gary W. Oehlert
Polyhedral Conditions for the Nonexistence of the MLE for Hierarchical Log-linear Models, Nicholas Eriksson, Stephen E. Fienberg, Alessandro Rinaldo, and Setj Sullivant
Three Centuries of Categorical Data Analysis: Log-linear Models and Maximum Likelihood Estimation, Stephen E. Fienberg and Alessandro Rinaldo
Detecting Scans at the ISP Level, Carrie Gates, Josh McNutt, Joseph B. Kadane, and Marc Kellner
Scan Detection on Very Large Networks Using Logistic Regression Modeling, Carrie Gates, Joshua J. McNutt, Joseph B. Kadane, and Marc I. Kellner
A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution, Joseph B. Kadane, Ramayya Krishnan, and Galit Shmueli
Conjugate Analysis of the Conway-Maxwell-Poisson Distribution, Joseph B. Kadane, Galit Shmueli, Thomas P. Minka, Sharad Borle, and Peter Boatwright
Controlling a Neuroprosthetic Arm: Real Time Estimation and Prediction, Cari Kaufman and Valerie Ventura
State-space models for optical imaging, Kary L. Myers, Anthony Brockwell, and William F. Eddy
Computing Maximum Likelihood Estimates in Log-Linear Models, Alessandro Rinaldo
On Maximum Likelihood Estimation in Log-Linear Models, Alessandro Rinaldo
Semiparametric Bivariate Density Estimation with Irregularly Truncated Data, Chad M. Schafer
Selecting Local Models in Multiple Regression by Maximizing Power, Chad M. Schafer and Kjell A. Doksum
When coherent preferences may not preserve indifference between equivalent random variables: A price for unbounded utilities, Teddy Seidenfeld, Mark J. Schervish, and Joseph B. Kadane
Uniform Distributions on the Natural Numbers, Oliver Shirokauer and Joseph B. Kadane
Correlation-sharing for Detection of Differential Gene Expression, Robert Tibshirani and Larry Wasserman
Weighted Hypothesis Testing, Larry Wasserman and Kathryn Roeder
Submissions from 2005
Ultra High Frequency Volatility Estimation with Dependent Microstructure Noise, Yacine Ait-Sahalia, Per A. Mykland, and Lan Zhang
The Effect of Product Assortment Changes on Customer Retention, Sharad Borle, Peter Boatwright, Joseph B. Kadane, Joseph C. Nunez, and Galit Shmueli