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中国人民大学统计学院讲师吴奔就盲源分离问题在《Journal of the American Statistical Association》发表合作论文（图）
吴奔 高维数据 贝叶斯统计
2024/11/26
中国人民大学统计学院讲师吴奔与埃默里大学郭颖教授、密歇根大学康健教授在《Journal of the American Statistical Association》发表合作论文。该研究提出了一种针对具有空间相依性的高维数据（如神经影像数据）的贝叶斯盲源分离模型。该模型利用阈值高斯过程构造了一种新的贝叶斯非参数先验，能很好地刻画信号源在空间上的光滑性与稀疏性，并实现信号源数量的自动选择。文章讨论...
Improving Estimates and Change Detection of Forest Above-Ground Biomass Using Statistical Methods
above-ground biomass remote sensing statistics modelling spatial modelling machine learning
2023/11/29
Forests store approximately as much carbon as is in the atmosphere, with potential to take in or release carbon rapidly based on growth, climate change and human disturbance. Above-ground biomass (AGB...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Weak values as statistical estimation
统计估计 弱值 量子可观测值 最小方差
2023/11/15
Given a quantum observable and a state, one can construct a classical observable, such that it is the optimal estimate of the quantum observable, in the sense of minimum variance. We demonstrate how t...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Statistical Management Theory for Business Applications with Massive Scale
大规模 商业应用 统计管理
2023/12/11
这是一个大数据与人工智能的时代，催生了各种各样大规模商务新场景。新场景常常呈现出：大规模、大数据、大模型的特点。这些特点对统计学的理论与计算方法都提出了新挑战，也提供了新机遇。对此，我将通过三个具体的真实案例分享，希望从中能够总结典型的统计学科学问题，洞察未来可能的研究机遇。这三个案例分别来自：金融科技、视频直播、和智慧零售三个不同商务场景。其中科技金融案例将展示如何通过二维码聚合支付数据助力面向...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Bootstrap-based Statistical Analysis for Multi-period Data-driven Inventory Models with Seasonal Demand
自举 统计分析 季节性需求 多周期数据 驱动库存模型
2023/4/24
We study multi-period inventory control systems in which managers face seasonal demands with unknown distributions and make inventory decisions based on past demand data. It can be shown that a data-d...
厦门大学青年教师刘婧媛合作论文于Journal of the American Statistical Association在线发表（图）
厦门大学王亚南经济研究院 统计学 基因学 遗传医学
2022/7/7
近日，经济学科青年教师刘婧媛教授，与北京师范大学郭旭副教授，宾夕法尼亚州立大学李润泽教授、曾沐冬博士合作的题为“High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity”的论文在统计学国际顶尖期刊Jo...
厦门大学王亚南经济研究院青年教师王中雷合作论文在Journal of the Royal Statistical Society Series B - Statistical Methodology在线发表（图）
厦门大学王亚南经济研究院 王中雷 统计学权威期刊
2022/5/17
近日，WISE、经济学院统计学与数据科学系王中雷助理教授，和墨尔本大学彭柳华助理教授、爱荷华州立大学Jae Kwang Kim教授合作的题为“Bootstrap Inference for The Finite Population Mean under Complex Sampling Designs”的论文在统计学权威期刊Journal of the Royal Statistical Soc...
厦门大学青年教师王中雷合作论文在Journal of the Royal Statistical Society Series B - Statistical Methodology在线发表（图）
统计学 数据科学 抽样调查 泊松抽样
2022/7/7
近日，WISE、经济学院统计学与数据科学系王中雷助理教授，和墨尔本大学彭柳华助理教授、爱荷华州立大学Jae Kwang Kim教授合作的题为“Bootstrap Inference for The Finite Population Mean under Complex Sampling Designs”的论文在统计学权威期刊Journal of the Royal Statistical Soc...
厦门大学青年教师王中雷合作论文在Journal of the Royal Statistical Society Series B - Statistical Methodology在线发表（图）
厦门大学 统计学与数据科学 统计推断 空间统计
2022/6/30
近日，WISE、经济学院统计学与数据科学系王中雷助理教授，和墨尔本大学彭柳华助理教授、爱荷华州立大学Jae Kwang Kim教授合作的题为“Bootstrap Inference for The Finite Population Mean under Complex Sampling Designs”的论文在统计学权威期刊Journal of the Royal Statistical Soc...
2021年6月25-27日，国家天元数学西北中心在西安交通大学举办Statistical learning methods in modern AI国际会议。本次会议由普林斯顿大学范剑青院士、美国北卡罗来纳教堂山分校朱宏图教授和西安交通大学姜丹丹教授共同召集组织。会议邀请了世界知名高校及企业的一线专家以线上或线下的方式带来了29场前沿学术报告。西安交通大学的青年教师和在校研究生现场聆听了报告，30...
National Science Foundation-funded scientists developing more accurate statistical models of COVID-19（图）
National Science Foundation funded scientists developing accurate statistical models COVID-19
2020/5/9
Armed with a rapid response research grant from the National Science Foundation, University of Oregon biologist Stilianos Louca and his colleagues are mining public databases for genomi...
The Power of NIST Cryptographic Statistical Tests Suite
Statistical testing Cryptographic evaluation Random bit generators
2019/8/8
This paper is focused on an open question regarding the correlation and the power of NIST statistical test suite. If we found some correlation between these statistical tests, then we can improve the ...
We give the first construction of statistical Zaps. Our construction satisfies computational soundness and relies on the quasi-polynomial hardness of learning with errors assumpteprint.iacr.orgion.
Dwork and Naor (FOCS'00) first introduced and constructed two message public coin witness indistinguishable proofs (ZAPs) for NP based on trapdoor permutations. Since then, ZAPs have also been obtaine...
On Round Optimal Statistical Zero Knowledge Arguments
zero knowledge collision resistance statistically hiding commitments
2019/6/4
We construct the first three message statistical zero knowledge arguments for all of NP, matching the known lower bound. We do so based on keyless multi-collision resistant hash functions and other st...