Robert Ashmead — "Causal Inference using Propensity Score Methods with Complex Survey Data"
Tayler Blake — "Nonparametric Covariance Estimation via Cholesky Decomposition with Shrinkage Toward Stationary Autoregressive Models"
Casey Davis — "Bayesian Analysis of Nonstationary Composite Gaussian Process Models"
Kevin Donges — "A Simulation Study of the Effect of Study Duration on Modeling Environmental Risk of Cancer"
Alice Hinton — "A Discriminant Function for Renal Inflammatory Activity Associated with Lupus Nephritis"
Yanan Jia — "Bilinear Mixed Effects Models for Affiliation Networks"
Andrew Landgraf — "Logistic PCA and its Applications to Electronic Health Record Data Mining"
John Lewis — "Bayesian Inference via the Blended Paradigm"
Zhiyu Liang — "On the Effect of Centering Kernels in Kernel PCA"
Andrew Olsen — "Independent Approximate Draws from High-Dimensional Intractable Distributions"
Mark Risser — "A Nonstationary Spatial Covariance Regression Model"
Srinath Sampath — "How Stable Are Top Choices Over Time? An Investigation into Preferences Among Popular Baby Names in the United States"
Grant Schneider — "An Importance Sampling Approach for Exploring Likelihoods of Stochastic Differential Equations"
Jingjing Yan — "Can Control Group Log Odds be Conditioned Out?"
Jiangyong Yin — "Regularized Portfolio Optimization Using Constrained Hierarchical Bayes Models”
Staci White — "Quantifying Model Error in Posterior Distributions"
Shuang Xia — "Detecting Gene-Environment Interaction using Logistic Bayesian Lasso and using B-Splines and LBL for Longitudinal Data"
Zhiguang Xu — "Modeling Non-Gaussian Time Series Using Nonparametric Bayesian Method"
Fangyuan Zhang — "Asymptotic Properties of Partial Likelihood Inference for Imprinting and Maternal Effects"
Wenjun Zheng — "Parametric Wavelet Whittle-based Estimation for Time Series Modeling"