2024年1月至12月，统计科学中心教员共发表论文164篇。以下为部分代表性论文（按第一作者姓氏字母排序排列）:
[1]Ait-Sahalia, Yacine; Li, Chenxu; Li, Chen Xu(2024). Maximum Likelihood Estimation of Latent Markov Models Using Closed-Form Approximations. Journal of Econometrics, 240(2), 105008.
[2]Cai, Zhenhao; Ding, Jian(2024). One-arm exponent of critical level-set for metric graph Gaussian free field in high dimensions. Probability Theory and Related Fields, published online, https://doi.org/10.1007/s00440-024-01295-z.
[3]Cheng, Ziheng; Yu, Longlin; Xie, Tianyu; Zhang, Shiyue; Zhang, Cheng(2024). Kernel Semi-Implicit Variational Inference. International Conference on Machine Learning, 235, 8248-8269.
[4]Deng, Yuhao; Wang, Yi; Zhou, Xiao-Hua(2024). Direct and indirect treatment effects in the presence of semicompeting risks. Biometrics, 80(2), ujae032.
[5]Ding, Jian; Liu, Yu; Xia, Aoteng(2024). Long range order for three-dimensional random field Ising model throughout the entire low temperature regime. Inventiones mathematicae, 238(1), 247-281.
[6]Feng, Yongzhen; Li, Jie; Song, Xiaojun(2024). Testing conditional quantile independence with functional covariate. Biometrics, 80(2), ujae036.
[7]Gu, Jia; Chen, Song Xi(2024). Statistical Inference for Decentralized Federated Learning. Annals of Statistics, 52(6), 2931-2955.
[8]Han, Yuze; Xie, Guangzeng; Zhang, Zhihua(2024). Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction. Journal of Machine Learning Research, 25, 1-86.
[9]Lee, Hana; Qiu, Yumou; Carriquiry, Alicia; Ommen, Danica(2024). Density-based Matching Rule: Optimality, Estimation, and Application in Forensic Problems. The Annals of Applied Statistics, 18(1), 770-793.
[10]Li, Xuetong; Zhou, Jing; Wang, Hansheng(2024). Gaussian Mixture Models with Rare Events. Journal of Machine Learning Research, 25, 1-40.
[11]Lo, Andrew W.; Wu, Lan; Zhang, Ruixun; Zhao, Chaoyi(2024). Optimal Impact Portfolios with General Dependence and Marginals. Operations Research, 72(5), https://doi.org/10.1287/opre.2023.0400.
[12]Luo, Shikai; Yang, Ying; Shi, Chengchun; Yao, Fang; Ye, Jieping; Zhu, Hongtu(2024). Policy evaluation for temporal and/or spatial dependent experiments. Journal of the Royal Statistical Society Series B-statistical Methodology, 86(3), 623-649.
[13]Ma, Tao; Yao, Fang; Zhou, Zhou(2024). Network-level traffic flow prediction: Functional time series vs. functional neural network approach. Annals of Applied Statistics, 18(1), 424-444.
[14]Miao, Wang; Li, Xinyu; Zhang, Ping; Sun, Baoluo(2024). A stableness of resistance model for nonresponse adjustment with callback data. Journal of the Royal Statistical Society Series B-statistical Methodology, published online, https://doi.org/10.1093/jrsssb/qkae097.
[15]Peng, Yang; Zhang, Liangyu; Zhang, Zhihua(2024). Statistical Efficiency of Distributional Temporal Difference. NeurIPS, 2024.
[16]Pu, Dan; Fang, Kuangnan; Lan, Wei; Yu, Jihai; Zhang, Qingzhao(2024). Multivariate spatiotemporal models with low rank coefficient matrix. Journal of Econometrics, 246(1-2), 105897.
[17]Qiu, Hongxiang; Shi, Xu; Miao, Wang; Dobriban, Edgar; Tchetgen, Eric Tchetgen(2024). Doubly robust proximal synthetic controls. Biometrics, 80(2), ujae055.
[18]Qiu, Yumou; Guo, Bin(2024). Minimax Detection Boundary and Sharp Optimal Test for Gaussian Graphical Model. Journal of the Royal Statistical Society Series B-statistical Methodology, 86(5), 1221-1242.
[19]Ren, Yimeng; Li, Zhe; Zhu, Xuening; Gao, Yuan; Wang, Hansheng(2024). Distributed estimation and inference for spatial autoregression model with large scale networks. Journal of Econometrics, 238(2), 105629.
[20]Rios, Nicholas; Xue, Lingzhou; Zhan, Xiang(2024). A latent variable mixture model for composition-on-composition regression with application to chemical recycling. Annals of Applied Statistics, 18(4), 3253-3273.
[21]Shi, Jiaxin; Wang, Fang; Gao, Yuan; Song, Xiaojun; Wang, Hansheng(2024). Mixture conditional regression with ultrahigh dimensional text data for estimating extralegal factor effects. Annals of Applied Statistics, 18(3), 2532-2550.
[22]Sun, Jiarui; Tang, Chao; Xie, Wuxiang; Zhou, Xiao-Hua(2024). Nonparametric receiver operating characteristic curve analysis with an imperfect gold standard. Biometrics, 80(3), ujae063.
[23]Tan, Jianbin; Zhang, Guoyu; Wang, Xueqin; Huang, Hui; Yao, Fang(2024). Green's matching: an efficient approach to parameter estimation in complex dynamic systems. Journal of the Royal Statistical Society Series B-statistical Methodology, 86(5), 1266-1285.
[24]Tu, Yundong; Wang, Siwei(2024). Semiparametric estimation and variable selection for sparse single index models in increasing dimension. Econometric Theory, 241, 111840.
[25]Wang, Yi; Deng, Yuhao; Zhou, Xiao-Hua(2024). Causal inference for time-to-event data with a cured subpopulation. Biometrics, 80(2), ujae028.
[26]Xie, Haitian(2024). Nonlinear and nonseparable structural functions in regression discontinuity designs with a continuous treatment. Journal of Econometrics, 242(1), 105784.
[27]Xie, Tianyu; Zhu, Yu; Yu, Longlin; Yang, Tong; Cheng, Ziheng; Zhang, Shiyue; Zhang, Xiangyu; Zhang, Cheng(2024). Reflected Flow Matching. International Conference on Machine Learning, 235, 54614-54634.
[28]Yan, Han; Chen, Song Xi(2024). Statistical Inference For Four-Regime Segmented Regression Models. Annals of Statistics, 52(6), 2668-2691.
[29]Zhang, Cheng; Matsen IV, Frederick A.(2024). A Variational Approach to Bayesian Phylogenetic Inference. Journal of Machine Learning Research, 25, 1-56.
[30]Zhang, Shiyue;Yu, Longlin; Cheng, Ziheng; Zhang, Cheng(2024). Functional Gradient Flows for Constrained Sampling. NeurIPS, 2024.
[31]Zhang, Shucong; Wang, Huiyuan; Lin, Wei(2024). CARE: Large precision matrix estimation for compositional data. Journal of the American Statistical Association, published online, https://doi.org/10.1080/01621459.2024.2335586.
[32]Zhao, Xuyang; Wang, Huiyuan; Huang, Weiran; Lin, Wei(2024). A statistical theory of regularization-based continual learning. International Conference on Machine Learning, 235, 61021-61039.
[33]Zhao, Yimin; Zhuang, Zhenhuang; Li, Yueying; Xiao, Wendi; Song, Zimin; Huang, Ninghao; Wang, Wenxiu; Dong, Xue; Jia, Jinzhu; Clarke, Robert; Huang, Tao(2024). Elevated blood remnant cholesterol and triglycerides are causally related to the risks of cardiometabolic multimorbidity. Nature Communications, 15(1), 2451.
