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Submissions from 2016

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Constraining Stellar Multiplicity with Approximate Bayesian Computation, H. Eric Alpert

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Ten Simple Rules for Effective Statistical Practice., Robert E. Kass, Brian S. Caffo, Marie Davidian, Xiao-Li Meng, Bin Yu, and Nancy Reid

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Separating Spike Count Correlation from Firing Rate Correlation., Giuseppe Vinci, Valerie Ventura, Matthew A. Smith, and Robert E. Kass

Submissions from 2015

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The Gap Between Statistics Education and Statistical Practice, Robert E. Kass

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Hitting the Wall: Mixture Models of Long Distance Running Strategies, Joseph D. Pane

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An Empirical Model for Reliable Spiking Activity., Wanjie Wang, Shreejoy J. Tripathy, Krishnan Padmanabhan, Nathaniel N. Urban, and Robert E. Kass

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Estimating Learning E↵ects: A Short-Time Fourier Transform Regression Model for MEG Source Localization, Ying Yang, Michael J. Tarr, and Robert E. Kass

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Identifying Schizophrenia Risk Genes and Sub-networks Using DAWN Framework, Julian Quan Zhou

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Establishing a Statistical Link between Network Oscillations and Neural Synchrony., Pengcheng Zhou, Shawn D. Burton, Adam C. Snyder, Matthew A. Smith, Nathaniel N. Urban, and Robert E. Kass

Submissions from 2012

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Density-Sensitive Semisupervised Inference, Martin Azizyan, Aarti Singh, and Larry Wasserman

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Minimax Rates for Homology Inference, Sivaraman Balakrishnan, Alessandro Rinaldo, Donald Sheehy, Aarti Singh, and Larry Wasserman

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Mediation Analysis: Expanding From One Mediator to Multiple Mediators, Brittanie Boone

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Incorporating Flexibility into the Normalized Cut Image Segmentation Algorithm, Yi Xiang Chong

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Generalized fiducial inference for normal linear mixed models, Jessica Cisewski and Jan Hannig

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Optimal Classification in Sparse Gaussian Graphic Model, Yingying Fan, Jiashun Jin, and Zhigan Yao

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Mixed Membership Distributions with Applications to Modeling Multiple Strategy Usage, April Galyardt

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Testing for Main Random Effects in Two-Way Random and Mixed Effects Models: Modifying the F Statistic, Trent Gaugler and Michael G. Akritas

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Learning Spatio-Temporal Dynamics: Nonparametric Methods for Optimal Forecasting and Automated Pattern Discovery, Georg Matthias Goerg

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LICORS: Light Cone Reconstruction of States for Non-parametric Forecasting of Spatio-Temporal Systems, Georg M. Goerg and Cosma R. Shalizi

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On Becoming a Bayesian: Early Correspondences between J Cornfield and LJ Savage, Joel B. Greenhouse

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Differential Privacy for Functions and Functional Data, Robert J. Hall, Alessandro Rinaldo, and Larry Wasserman

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Detection of Non-Regular Galaxies at High Redshift, Rafael Izbicki, Ann B. Lee, Peter Freeman, and Jeffrey A. Newman

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Fast Community Detection by Score, Jiashun Jin

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Optimality of Graphlet Screening in High Dimensional Variable Selection, Jiashun Jin, Cun-Hui Zhang, and Qi Zhang

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Covariance Assisted Screening and Estimation, Tracy Ke, Jiashun Jin, and Jiaqing Fan

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Information transmission using non-poisson regular firing., Shinsuke Koyama, Takahiro Omi, Robert E. Kass, and Shigeru Shinomoto

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Sparse Nonparametric Graphical Models, John Lafferty, Han Liu, and Larry Wasserman

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Distribution Free Prediction Bands, Jing Lei and Larry Wasserman

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High Dimensional Semiparametric Gaussian Copula Graphical Models, Han Liu, Fang Han, Ming Yuan, John Lafferty, and Larry Wasserman

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A significance test for the lasso, Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani, and Robert Tibshirani

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Generalization Error Bounds for Time Series, Daniel J. McDonald

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Consistency under Sampling of Exponential Random Graph Models, Cosma R. Shalizi and Alessandro Rinaldo

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The Prime Residue Class of Finitely Additive Distributions Uniform on the Integers, Michael Spece and Joseph B. Kadane

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The Lasso Problem and Uniqueness, Ryan J. Tibshirani

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Degrees of freedom in lasso problems, Ryan J. Tibshirani and Jonathan Taylor

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Minimax Rates of Estimation for Sparse PCA in High Dimensions, Vincent Vu and Jing Lei

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Minimax Sparse Principal Subspace Estimation in High Dimensions, Vincent Q. Vu and Jing Lei

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Behavioral Modeling of Botnet Populations Viewed through Internet Protocol Address Space, Rhiannon Weaver

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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

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Bayesian learning in assisted brain-computer interface tasks., Yin Zhang, Andrew B. Schwartz, Steve M. Chase, and Robert E. Kass

Submissions from 2009

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Sampling Weights in a Bayesian Grade of Membership Model, Marianne Bertolet

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Sampling Weights, Model Misspecification and Informative Sampling: A Simulation Study, Marianne Bertolet

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On the Geometry of Discrete Exponential Families with Application to Exponential Random Graph Models, Stephen E. Fienberg, Alessandro Rinaldo, and Yi Zhou

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Analysis of a Web-based Network of Educators, April Galyardt, Turadg Aleahmad, Stephen E. Fienberg, Brian W. Junker, and Steve Hargadon

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Algebraic Statistics for a Directed Random Graph Model with Reciprocation, Sonja Petrovic, Alessandro Rinaldo, and Stephen E. Fienberg

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Low-Noise Density Clustering, Alessandro Rinaldo and Larry Wasserman

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Dynamics of Bayesian updating with dependent data and misspecified models, Cosma R. Shalizi

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Joint Quantile Regression through Bayesian Semiparametrics, Surya T. Tokdar and Joseph B. Kadane

Submissions from 2008

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Calculating Remittiturs, Joseph B. Kadane

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Robust Smoothing: Smoothing Parameter Selection and Applications to Fluorescence Spectroscopy, Jong Soo Lee and Dennis D. Cox

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On the ℓ1-ℓq Regularized Regression, Han Liu and Jian Zhang

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Autoregressive Process Modeling via the Lasso Procedure, Yuval Nardi and Alessandro Rinaldo

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On the Asymptotic Properties of The Group Lasso Estimator for Linear Models, Yuval Nardi and Alessandro Rinaldo

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Clustering with Confidence: A Binning Approach, Rebecca Nugent and Werner Stuetzle

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Exploiting Low-Dimensional Structure in Astronomical Spectra, Joseph W. Richards, Peter Freeman, Ann B. Lee, and Chad M. Schafer

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A Note on the Uniqueness of the Lasso Solution, Alessandro Rinaldo

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Properties and Refinements of The Fused Lasso, Alessandro Rinaldo

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On the equivalence of conglomerability and disintegrability for unbounded random variables, Mark J. Schervish, Teddy Seidenfeld, and Joseph B. Kadane

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Proper Scoring Rules, Dominated Forecasts, and Coherence, Mark J. Schervish, Teddy Seidenfeld, and Joseph B. Kadane

Submissions from 2007

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IRT Modeling of Tutor Performance To Predict End-of-year Exam Scores, Elizabeth Ayers and Brian W. Junker

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Power-law distributions in empirical data, Aaron Clauset, Cosma R. Shalizi, and M. E.J. Newman

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Pointwise Testing with Functional Data Using the Westfall-Young Randomization Method, Dennis D. Cox and Jong Soo Lee

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Maximum Likelihood Estimation in Latent Class Models For Contingency Table Data, Stephen E. Fienberg, Patricia Hersh, Alessandro Rinaldo, and Yi Zhou