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Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data
Yikun Zhang, Yen-Chi Chen
Published 4/28/2021
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Skeleton Clustering: Dimension-Free Density-based Clustering
Zeyu Wei, Yen-Chi Chen
Published 4/21/2021
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Co-clustering of time-dependent data via Shape Invariant Model
Alessandro Casa, Charles Bouveyron, Elena Erosheva, Giovanna Menardi
Published 4/7/2021
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A Statistical Introduction to Template Model Builder: A Flexible Tool for Spatial Modeling
Aaron Osgood-Zimmerman, Jon Wakefield
Published 3/17/2021
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Discussion of 'Estimating time-varying causal excursion effect in mobile health with binary outcomes' by T. Qian et al
F. Richard Guo, Thomas S. Richardson, James M. Robins
Published 3/3/2021
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Estimating SARS-CoV-2 Infections from Deaths, Confirmed Cases, Tests, and Random Surveys
Nicholas J. Irons, Adrian E. Raftery
Published 2/21/2021
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DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting
Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu
Published 2/12/2021
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The EM Perspective of Directional Mean Shift Algorithm
Yikun Zhang, Yen-Chi Chen
Published 1/25/2021
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The Central Role of the Identifying Assumption in Population Size Estimation
Serge Aleshin-Guendel, Mauricio Sadinle, Jon Wakefield
Published 1/22/2021
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Differentiable Programming à la Moreau
Vincent Roulet, Zaid Harchaoui
Published 12/31/2020
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Identifying the latent space geometry of network models through analysis of curvature
Shane Lubold, Arun G. Chandrasekhar, Tyler H. McCormick
Published 12/18/2020
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Estimating Seroprevalence of SARS-CoV-2 in Ohio: A Bayesian Multilevel Poststratification Approach with Multiple Diagnostic Tests
David Kline, Zehang Li, Yue Chu, Jon Wakefield, William C. Miller, Abigail Norris Turner, Samuel J Clark
Published 11/17/2020
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A Probabilistic Model for Analyzing Summary Birth History Data
Katie Wilson, Jon Wakefield
Published 11/13/2020
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Neuro-PC: Causal Functional Connectivity from Neural Dynamics
Rahul Biswas, Eli Shlizerman
Published 11/8/2020
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Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data
Yikun Zhang, Yen-Chi Chen
Published 10/22/2020
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Estimating efficacy of measles supplementary immunization activities via discrete-time modeling of disease incidence time series
Tracy Qi Dong, Jon Wakefield
Published 10/17/2020
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Minimal enumeration of all possible total effects in a Markov equivalence class
F. Richard Guo, Emilija Perkovic
Published 10/16/2020
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Discussion of Kallus (2020) and Mo, Qi, and Liu (2020): New Objectives for Policy Learning
Sijia Li, Xiudi Li, Alex Luedtke
Published 10/9/2020
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Estimating the Stillbirth Rate for 195 Countries Using A Bayesian Sparse Regression Model with Temporal Smoothing
Zhengfan Wang, Miranda J. Fix, Lucia Hug, Anu Mishra, Danzhen You, Hannah Blencowe, Jon Wakefield, Leontine Alkema
Published 10/7/2020
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High Dimensional Bayesian Network Classification with Network Global-Local Shrinkage Priors
Sharmistha Guha, Abel Rodriguez
Published 9/23/2020
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Estimation of Health and Demographic Indicators with Incomplete Geographic Information
Katie Wilson, Jon Wakefield
Published 9/17/2020
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On the power of Chatterjee rank correlation
Hongjian Shi, Mathias Drton, Fang Han
Published 8/26/2020
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A Prior for Record Linkage Based on Allelic Partitions
Brenda Betancourt, Juan Sosa, Abel Rodríguez
Published 8/23/2020
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Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin
Published 8/12/2020
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A Bayesian Approach to Spherical Factor Analysis for Binary Data
Xingchen Yu, Abel Rodriguez
Published 8/12/2020
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