Periodogram Regression, a Two Stage Mixed Effects Approach for Modelling Multiple Integer-Valued Time Series of Tropical Cyclone Frequency |
Lyuyuan Zhang, Guoqi Qian, and Sourav Das
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Boosting Data Analytics with Synthetic Volume Expansion |
Xiaotong Shen, Yifei Liu, and Rex Shen
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Heterogeneous Treatment and Spillover Effects Under Clustered Network Interference |
Falco Bargagli-Stoffi, Costanza Tortú, and Laura Forastiere
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Leveraging cellphone-derived mobility networks to assess COVID-19 travel risk |
Justin J. Slater, Patrick E. Brown, Jeffrey S. Rosenthal, and Jorge Mateu
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Risk Set Matched Difference-in-Differences for the Analysis of Effect Modification in an Observational Study on the Impact of Gun Violence on Health Outcomes |
Eric R Cohn, Zirui Son, and Jose R Zubizarreta
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Sensitivity Analysis and Power in the Presence of Many Weak Instruments: Application to the Effect of Incarceration on Future Earnings |
Ashkan Ertefaie, Jesse Y Hsu, David Harding, Jeffrey Morenoff, and Dylan S Small
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Analyzing Environmental Bioassays with Spatial Odds, Risk, and Survival Probability Ratio Regressions |
Debashis Mondal and Xiaohui Chang
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Predicting Census Survey Response Rates with Parsimonious Additive Models and Structured Interactions |
Shibal Ibrahim, Rahul Mazumder, Peter Radchenko, and Emanuel Ben-David
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Ultra-Sparse Small Area Estimation With Super Heavy Tailed Priors for Internal Migration Flows |
Brenda Betancourt and Jairo Fuquene-Patino
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PoD-BIN: A Probability of Decision Bayesian Interval Design for Time-to-Event Dose-Finding Trials with Multiple Toxicity Grades |
Meizi Liu, Ji Lin, MI Gu, Christelle Lorenzato, Xun Chen, and Yuan Ji
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Inferring Synergistic and Antagonistic Interactions in Mixtures of Exposures |
Shounak Chattopadhyay, Stephanie M. Engel, and David Dunson
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A New Design for Observational Studies Applied to the Study of the Effects of High School Football on Cognition Late in Life |
Katherine Brumberg, Dylan Small, and Paul Rosenbaum
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Contour Location for Reliability in Airfoil Simulation Experiments using Deep Gaussian Processes |
Annie S. Booth, Ashwin Renganathan, and Robert B. Gramacy
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Kullback-Leibler-Based Discrete Failure Time Models for Integration of Published Prediction Models with New Time-To-Event Dataset |
Di Wang, Wen Ye, Randall Sung, Hui Jiang, Jeremy M.G. Taylor, Lisa Ly, and Kevin He
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Has the Covid-19 Outbreak Capsized the Predictive Performance of Bayesian Var Models With Cointegration and Time-Varying Volatility? |
Anna Pajor, Łukasz Kwiatkowski, and Justyna Wróblewska
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Estimating Product Cannibalisation in Wholesale using Multivariate Hawkes Processes with Inhibition |
Isabella Deutsch and Gordon J. Ross
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Poisson Cluster Process Models for Detecting Ultra-Diffuse Galaxies |
Dayi Li, Alex Stringer, Patrick Brown, Gwendolyn Eadie, and Roberto Abraham
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The Short-Term Dynamics of Conflict-Driven Displacement: Bayesian Modeling of Disaggregated Data from Somalia |
Gregor Zens and Lisa Thalheimer
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Accounting for Shared Covariates in Semi-Parametric Bayesian Additive Regression Trees |
Estevao Prado
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Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition |
Ziqian Lin, Danyang Huang, Ziyu Xiong, and Hansheng Wang
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A Bayesian Approach to GRAPPA Parallel fMRI Image Reconstruction Increases SNR and Power of Task Detection |
Chase Sakitis and Daniel Rowe
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Overlap Violations in External Validity: Application to Ugandan Cash Transfer Programs |
Melody Huang
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A Three-State Coupled Markov Switching Model for Covid-19 Outbreaks Across Quebec Based on Hospital Admissions |
Dirk Douwes-Schultz, Alexandra M. Schmidt, Yannan Shen, and David Buckeridge
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Disentangling the Structure of Ecological Bipartite Networks From Observation Processes |
Emre Anakok, Pierre Barbillon, Colin Fontaine, and Elisa Thebault
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Comparative Judgement Modeling to Map Forced Marriage at Local Levels |
Rowland Guy Seymour, Albert Nyarko-Agyei, Helen McCabe, Katie Severn, David Sirl, Theodore Kypraios, and Adam Taylor
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More Power to You: Using Machine Learning to Augment Human Coding for More Efficient Inference in Text-Based Randomized Trials |
Reagan Mozer and Luke Miratrix
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Tracing the Impacts of Mount Pinatubo Eruption on Regional Climate Using Spatially-Varying Changepoint Detection |
Samantha Shi-Jun, Lyndsay Shand, and Bo Li
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A Spatial Autoregressive Random Forest Algorithm for Small-Area Spatial Prediction |
Cara MacBride, Vinny Davies, and Duncan Lee
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Dynamic Prediction with Multivariate Longitudinal Outcomes and Longitudinal Magnetic Resonance Imaging Data |
Haotian Zou, Luo Xiao, Donglin Zeng, and Sheng Luo
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Identifying Peer Influence in Therapeutic Communities Adjusting for Latent Homophily |
Shanjukta Nath, Keith Warren, and Subhadeep Paul
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EBiCop: Ensemble Bivariate Copulas for Modeling Multivariate Cyber Data Breach Risks |
Yijia Li, Quynh Nhu Nguyen, Maochao Xu, Peng Zhao, and Taizhong Hu
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A Reweighted Random Forest to Predict Health Outcomes Using Human Microbiome Data |
Tian Wang, Bing Li, Huang Xu, Yuqi Miao, Min Qian, and Shuang Wang
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Nested Dirichlet Models for Unsupervised Attack Pattern Detection in Honeypot Data |
Francesco Sanna Passino, Anastasia Mantziou, Daniyar Ghani, Philip Thiede, Ross Bevington, and Nicholas A. Heard
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A Novel Framework to Quantify Uncertainty in Peptide-Tandem Mass Spectrum Matches With Application to Nanobody Peptide Identification |
Chris Gordon McKennan, Zhe Sang, and Yi Shi
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Heterogeneous Network Analysis of Disease Clinical Treatment Measures via Mining Electronic Medical Record Data |
Jiping Wang, Rong Li, Wei-Shan Chang, Kai-Yuan Hsiao, BenChang Shia, and Shuangge Ma
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Contrastive Linear Regression |
Boyang Zhang, Sarah Nyquist, Andrew C Jones, Barbara Engelhardt, and Didong Li
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Variable Screening and Spatial Smoothing in Frechet Regression with Application to Diffusion Tensor Imaging |
Lei Yan, Xin Zhang, Zhou Lan, Dipankar Bandyopadhyay, and Yichao Wu
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Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics |
Eva-Maria Maier, Almond Stöcker, Bernd Fitzenberger, and Sonja Greven
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Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs |
Laura Forastiere, Alessandra Mattei, Julia Pesarini, Mauricio Barreto, and Fabrizia Mealli
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Rice-Distributed Autoregressive Time Series Modeling of Magnitude Functional MRI Data |
Daniel W Adrian, Ranjan Maitra, and Daniel B Rowe
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Holdout Sets for Safe Predictive Model Updating |
Sami Haidar-Wehbe, Samuel R. Emerson, Louis J. M. Aslett, and James Liley
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Endogeneity And Moments In Time Series Momentum’s Predictability Test |
Lei Jiang, Liang Peng, Zhongling Qin, and Bingduo Yang
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Censored C-Learning for Dynamic Treatment Regime in Colorectal Cancer Study |
Zishu Zhan, Zhishuai Liu, Cunjie Lin, Danhui Yi, and Yufei Yang
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Inferring Mechanistic Parameters of Somatic Hypermutation Using Neural Networks and Approximate Bayesian Computation |
Thayer Fisher, Julia Fukuyama, Kevin Sung, Noah Simon, and Frederick Matsen
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Design-Based Inference for Spatial Experiments under Unknown Interference |
Ye Wang, Cyrus Samii, Haoge Chang, and P.M. Aronow
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Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery |
Patrick Ugochukwu Emedom-Nnamdi, Timothy R Smith, Jukka-Pekka Onnela, and Junwei Lu
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Low-Rank Longitudinal Factor Regression With Application to Chemical Mixtures |
Glenn Palmer, Amy H. Herring, and David B. Dunson
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Functional Clustering for Longitudinal Associations Between Social Determinants of Health and Stroke Mortality in the US |
Fangzhi Luo, Jianbin Tan, Donglan Zhang, Hui Huang, and Ye Shen
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Nonparametric Causal Decomposition of Group Disparities |
Ang Yu and Felix Elwert
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Modified Treatment Policy Effect Estimation With Weighted Energy Distance |
Ziren Jiang and Jared Davis Huling
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Comparing Baseball Players Across Eras via Novel Full House Modeling |
Shen Yan, Adrian Burgos Jr., Christopher Kinson, and Daniel James Eck
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