统计学学术速递[2021.7.6]

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stat统计学，共计64篇

【1】 Sufficient principal component regression for pattern discovery in transcriptomic data
标题：用于转录数据模式发现的充分主成分回归
作者：Lei Ding,Gabriel E. Zentner,Daniel J. McDonald
机构：Department of Statistics, Indiana University, Bloomington, IN USA, Department of Biology, Melvin and Bren Simon Comprehensive Cancer Center, University of British Columbia, Vancouver, BC Canada
备注：26 pages, 9 figures, 9 tables
链接：https://arxiv.org/abs/2107.02150

【2】 Multivariate functional group sparse regression: functional predictor selection
标题：多元函数组稀疏回归：函数预测因子的选择
作者：Ali Mahzarnia,Jun Song
机构：Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, NC , USA
备注：The R package that is developed for this paper is available at GitHub. See this https URL
链接：https://arxiv.org/abs/2107.02146

【3】 Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context
标题：平铺挤兑：局部空间背景下的渠道关注
作者：Niv Vosco,Alon Shenkler,Mark Grobman
机构：Hailo
链接：https://arxiv.org/abs/2107.02145

【4】 Anisotropic spectral cut-off estimation under multiplicative measurement errors
标题：乘性测量误差下的各向异性谱截止估计
作者：Sergio Brenner Miguel
机构：Ruprecht-Karls-Universität Heidelberg
备注：22 pages, 5 figures, 2 tables
链接：https://arxiv.org/abs/2107.02120

【5】 On the symmetric and skew-symmetric K-distributions
标题：关于对称和斜对称K-分布
作者：Stylianos E. Trevlakis,Nestor Chatzidiamantis,George K. Karagiannidis
机构：CHATZIDIAMANTIS,‡
链接：https://arxiv.org/abs/2107.02092

【6】 Nonparametric quantile regression for time series with replicated observations and its application to climate data
标题：重复观测时间序列的非参数分位数回归及其在气候数据中的应用
作者：Soudeep Deb,Kaushik Jana
机构：Indian Institute of Management Bangalore, Bannerghatta Main Rd, Bangalore, KA , India., and, Imperial College London, Department of Mathematics, Queen’s Gate, London SW,AZ, United Kingdom
链接：https://arxiv.org/abs/2107.02091

【7】 Analyzing Relevance Vector Machines using a single penalty approach
标题：用单罚方法分析相关向量机
作者：Anand Dixit,Vivekananda Roy
机构：Department of Statistics, Iowa State University
备注：25 pages
链接：https://arxiv.org/abs/2107.02085

【8】 Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo
标题：对偶黎曼流形与量子哈密顿蒙特卡罗
作者：Wilson Tsakane Mongwe,Rendani Mbuvha,Tshilidzi Marwala
机构：School of Electrical Engineering, University of Johannesburg, Auckland Park, South Africa, School of Statistics and Actuarial Science, University of Witwatersrand, Johannesburg, South Africa
链接：https://arxiv.org/abs/2107.02070

【9】 An extended watershed-based zonal statistical AHP model for flood risk estimation: Constraining runoff converging related indicators by sub-watersheds
标题：基于流域的洪水风险分区统计AHP扩展模型：子流域约束径流收敛相关指标
作者：Hongping Zhang,Zhenfeng Shao,Jinqi Zhao,Xiao Huang,Jie Yang,Bin Hu,Wenfu Wu
机构：a, Wenfu, a State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, University, Wuhan , China;, b Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of
备注：This paper is a research paper, it contains 40 pages and 8 figures. This paper is a modest contribution to the ongoing discussions the accuracy of flood risk estimation via AHP model improved by adopting pixels replaced with sub-watersheds as basic unit
链接：https://arxiv.org/abs/2107.02043

【10】 Template-Based Graph Clustering
标题：基于模板的图聚类
作者：Mateus Riva,Florian Yger,Pietro Gori,Roberto M. Cesar Jr.,Isabelle Bloch
机构： LTCI, T´el´ecom Paris, Institut Polytechnique de Paris, France, LAMSADE, Universit´e Paris-Dauphine, PSL Research University, France, IME, University of S˜ao Paulo, Brazil
备注：None
链接：https://arxiv.org/abs/2107.01994

【11】 UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning
标题：UCSL：一种监督学习驱动的无监督聚类机器学习期望最大化框架
作者：Robin Louiset,Pietro Gori,Benoit Dufumier,Josselin Houenou,Antoine Grigis,Edouard Duchesnay
机构： Universit´e Paris-Saclay, CEA, Neurospin, Gif-sur-Yvette, France, LTCI, T´el´ecom Paris, Institut Polytechnique de Paris, France
备注：None
链接：https://arxiv.org/abs/2107.01988

【12】 Neyman-Pearson Hypothesis Testing, Epistemic Reliability and Pragmatic Value-Laden Asymmetric Error Risks
标题：Neyman-Pearson假设检验、认知可靠性与语用价值负载的非对称错误风险
作者：Adam P. Kubiak,Pawel Kawalec,Adam Kiersztyn
机构：John Paul II Catholic University of Lublin, Aleje Racławickie , -, Lublin, Poland, Department of Computer Science, Lublin University of Technology, Nadbystrzycka ,B
备注：Axiomathes (2021)
链接：https://arxiv.org/abs/2107.01944

【13】 On the Estimation of Bivariate Return Curves for Extreme Values
标题：关于二元回归曲线极值的估计
作者：C. J. R. Murphy-Barltrop,J. L. Wadsworth,E. F. Eastoe
机构：STOR-i Centre for Doctoral Training, Lancaster University LA,YR, United Kingdom, Department of Mathematics and Statistics, Lancaster University LA,YR, United Kingdom
备注：41 pages (without supplementary), 11 figures, 2 tables
链接：https://arxiv.org/abs/2107.01942

【14】 Blind source separation for non-stationary random fields
标题：非平稳随机场的盲源分离
作者：Christoph Muehlmann,François Bachoc,Klaus Nordhausen
机构：Institute of Statistics & Mathematical Methods in Economics, Vienna University of Technology, Austria, Institut de Mathématiques de Toulouse, Université Paul Sabatier, France, Department of Mathematics and Statistics, University of Jyväskylä, Finland
链接：https://arxiv.org/abs/2107.01916

【15】 Randomized multilevel Monte Carlo for embarrassingly parallel inference
标题：尴尬并行推理的随机化多水平蒙特卡罗方法
作者：Ajay Jasra,Kody J. H. Law,Fangyuan Yu
机构： Computer, Electrical and Mathematical Sciences and Engineering Division, King, Abdullah University of Science and Technology, Thuwal, KSA., Department of Mathematics, University of Manchester, Manchester, M,PL, UK.
链接：https://arxiv.org/abs/2107.01913

【16】 Causally Invariant Predictor with Shift-Robustness
标题：具有移位稳健性的因果不变预报器
作者：Xiangyu Zheng,Xinwei Sun,Wei Chen,Tie-Yan Liu
机构： Microsoft Research Asia, Beijing, Peking University, Beijing
链接：https://arxiv.org/abs/2107.01876

【17】 Variational Bayesian Inference for the Polytomous-Attribute Saturated Diagnostic Classification Model with Parallel Computing
标题：并行计算多属性饱和诊断分类模型的变分贝叶斯推理
作者：Motonori Oka,Shun Saso,Kensuke Okada
机构：Graduate School of Education, The University of Tokyo, Author Note
链接：https://arxiv.org/abs/2107.01865

【18】 Matching a Desired Causal State via Shift Interventions
标题：通过移位干预匹配期望的因果状态
作者：Jiaqi Zhang,Chandler Squires,Caroline Uhler
机构：LIDS, EECS, and IDSS, MIT, Cambridge, MA , LIDS EECS, and IDSS, MIT
链接：https://arxiv.org/abs/2107.01850

【19】 Zero-modified Count Time Series with Markovian Intensities
标题：具有马尔可夫强度的零修正计数时间序列
作者：N. Balakrishna,Muhammed Anvar,Bovas Abraham
机构： Cochin University of Science and Technology, University of Waterloo
备注：31 pages including Tables and Figures
链接：https://arxiv.org/abs/2107.01813

【20】 Statistical Theory for Imbalanced Binary Classification
标题：非平衡二分分类的统计理论
作者：Shashank Singh,Justin Khim
机构：Empirical Inference Department, Max Planck Institute for Intelligent Systems, Tübingen, Germany, Amazon, New York, NY
备注：Parts of this paper have been revised from arXiv:2004.04715v2 [math.ST]
链接：https://arxiv.org/abs/2107.01777

【21】 Extending Latent Basis Growth Model to Explore Joint Development in the Framework of Individual Measurement Occasions
标题：拓展潜在基数增长模型探索个体测量场合框架下的联动发展
作者：Jin Liu
备注：Draft version 1.1, 07/04/2021. This paper has not been peer reviewed. Please do not copy or cite without author's permission
链接：https://arxiv.org/abs/2107.01773

【22】 Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation
标题：基于野二值分割的多位置尺度变化点非参数检测
作者：Gordon J. Ross
机构：University of Edinburgh
链接：https://arxiv.org/abs/2107.01742

【23】 Latent structure blockmodels for Bayesian spectral graph clustering
标题：贝叶斯谱图聚类的潜在结构块模型
作者：Francesco Sanna Passino,Nicholas A. Heard
机构：Department of Mathematics, Imperial College London, Queen’s Gate, SW,AZ, London (United Kingdom)
链接：https://arxiv.org/abs/2107.01734

【24】 Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
标题：通过重心投影使用插件估计器估计最优交通地图的速度
作者：Nabarun Deb,Promit Ghosal,Bodhisattva Sen
机构： Amsterdam Avenue, New York, NY , Massachusetts Ave, Cambridge, MA
备注：40 pages
链接：https://arxiv.org/abs/2107.01718

【25】 Calibrating generalized predictive distributions
标题：校准广义预测分布
作者：Pei-Shien Wu,Ryan Martin
机构：and
备注：33 pages, 5 figures, 6 tables
链接：https://arxiv.org/abs/2107.01688

【26】 Time Series Graphical Lasso and Sparse VAR Estimation
标题：时间序列图套索与稀疏VAR估计
作者：Aramayis Dallakyan,Rakheon Kim,Mohsen Pourahmadi
机构：Texas A&M University
链接：https://arxiv.org/abs/2107.01659

【27】 Learning Bayesian Networks through Birkhoff Polytope: A Relaxation Method
标题：通过Birkhoff多面体学习贝叶斯网络：一种松弛方法
作者：Aramayis Dallakyan,Mohsen Pourahmadi
机构： the ordering space (or the space oftopological ordering) has been exploited for score-basedDepartment of Statistics, Texas A&M University
链接：https://arxiv.org/abs/2107.01658

【28】 Discussion of the manuscript: Spatial+ a novel approach to spatial confounding
标题：《手稿：空间+空间混淆的一种新方法》评介
作者：Georgia Papadogeorgou
机构：Department of Statistics, University of Florida, I congratulate Dupont, method for estimation in the presence of spatial confounding, and for addressing some of the compli-
链接：https://arxiv.org/abs/2107.01644

【29】 The Role of "Live" in Livestreaming Markets: Evidence Using Orthogonal Random Forest
作者：Ziwei Cong,Jia Liu,Puneet Manchanda
链接：https://arxiv.org/abs/2107.01629

【30】 Accounting for Uncertainty When Estimating Counts Through an Average Rounded to the Nearest Integer
标题：通过四舍五入到最接近的整数的平均值估计计数时的不确定性
作者：Roberto Rivera,Axel Cortes-Cubero,Roberto Reyes-Carranza,Wolfgang Rolke
机构： University of Puerto Rico, †Department of Mathematical Sciences, ‡Department of Mathematical Sciences, §Department of Mathematical Sciences
链接：https://arxiv.org/abs/2107.01618

【31】 Deep Gaussian Process Emulation using Stochastic Imputation
标题：基于随机插补的深高斯过程仿真
作者：Deyu Ming,Daniel Williamson,Serge Guillas
机构：Department of Statistical Science, University College London, UK, College of Engineering, Mathematics and Physical Sciences, University of Exeter, UK
链接：https://arxiv.org/abs/2107.01590

【32】 One-step TMLE to target cause-specific absolute risks and survival curves
标题：针对特定原因的绝对风险和生存曲线的一步TMLE
作者：Helene C. W. Rytgaard,Mark J. van der Laan
机构：Section of Biostatistics, University of Copenhagen, Denmark, Devision of Biostatistics, University of California, Berkeley
备注：21 pages (including appendix), 2 figures, 5 tables
链接：https://arxiv.org/abs/2107.01537

【33】 Selection of invalid instruments can improve estimation in Mendelian randomization
标题：孟德尔随机化中无效工具的选择可以改善估计
作者：Ashish Patel,Francis J. Ditraglia,Verena Zuber,Stephen Burgess
机构：a MRC Biostatistics Unit, University of Cambridge, b Department of Economics, University of Oxford, c Department of Epidemiology and Biostatistics, Imperial College London, d Cardiovascular Epidemiology Unit, University of Cambridge
备注：56 pages, 8 figures
链接：https://arxiv.org/abs/2107.01513

【34】 Novel Semi-parametric Tobit Additive Regression Models
标题：一种新的半参数Tobit加性回归模型
作者：Hailin Huang
机构：Department of Statistics, George Washington University, Washington DC
备注：ICDATA 2021
链接：https://arxiv.org/abs/2107.01497

【35】 Assessing contribution of treatment phases through tipping point analyses via counterfactual elicitation using rank preserving structural failure time models
标题：用保秩结构失效时间模型通过反事实启发通过临界点分析评估治疗阶段的贡献
作者：Sudipta Bhattacharya,Jyotirmoy Dey
机构：Statistics and Quantitative Sciences, Takeda, Cambridge, MA, USA;, Haematology, Regeneron, NY,USA, LinkedIn Sites of the Authors:
备注：38 pages, 6 figures, 3 tables. arXiv admin note: text overlap with arXiv:2011.09070
链接：https://arxiv.org/abs/2107.01480

【36】 Slope and generalization properties of neural networks
标题：神经网络的斜率和泛化性质
作者：Anton Johansson,Niklas Engsner,Claes Strannegård,Petter Mostad
机构： these functions 1Chalmers University of Technology
链接：https://arxiv.org/abs/2107.01473

【37】 Scale Mixtures of Neural Network Gaussian Processes
标题：神经网络高斯过程的尺度混合
作者：Hyungi Lee,Eunggu Yun,Hongseok Yang,Juho Lee
机构：Graduate School of Artificial Intelligence, KAIST, South Korea, School of Computing, KAIST, South Korea, AITRICS, Seoul, South Korea
链接：https://arxiv.org/abs/2107.01408

【38】 Proportional mean model for panel count data with multiple modes of recurrence
标题：具有多种递推方式的面板计数数据的比例均值模型
作者：Sreedevi E. P.,Sankaran P. G.
机构： SNGS College, Pattambi., Cochin University of Science and Technology, Cochin.
备注：25 pages, 2 fgires
链接：https://arxiv.org/abs/2107.01388

【39】 Sibling Regression for Generalized Linear Models
标题：广义线性模型的同胞回归
作者：Shiv Shankar,Daniel Sheldon
机构： University of Massachusetts, Amherst, MA , USA, Mount Holyoke College, South Hadley, MA , USA
链接：https://arxiv.org/abs/2107.01338

【40】 A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption
标题：k-三角忠实性假设下非高斯因果效应的一致一致估计
作者：Shuyan Wang,Peter Spirtes
链接：https://arxiv.org/abs/2107.01333

【41】 Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures
标题：有限位置-尺度混合下的最小Wasserstein距离估计
作者：Qiong Zhang,Jiahua Chen
机构：Department of Statistics, University of British Columbia
链接：https://arxiv.org/abs/2107.01323

【42】 The Effect of the Prior and the Experimental Design on the Inference of the Precision Matrix in Gaussian Chain Graph Models
标题：先验和试验设计对高斯链图模型精度矩阵推断的影响
作者：Yunyi Shen,Claudia Solis-Lemus
机构：Department of Statistics, University of Wisconsin-Madison, Madison, WI , Claudia Solís-Lemus∗, Wisconsin Institute for Discovery
链接：https://arxiv.org/abs/2107.01306

【43】 Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM
标题：高噪声群轨道估计的最大似然法和单粒子低温电磁法
作者：Zhou Fan,Roy R. Lederman,Yi Sun,Tianhao Wang,Sheng Xu
机构： Department of Statistics and Data Science, Yale UniversityYS, University of ChicagoE-mail addresses
链接：https://arxiv.org/abs/2107.01305

【44】 Optimizing ROC Curves with a Sort-Based Surrogate Loss Function for Binary Classification and Changepoint Detection
标题：基于排序的代理损失函数优化ROC曲线进行二值分类和突变检测
作者：Jonathan Hillman,Toby Dylan Hocking
链接：https://arxiv.org/abs/2107.01285

【45】 Bayesian two-interval test
标题：贝叶斯双区间检验
作者：Nicolas Meyer,Erik-André Sauleau
机构：CHU de Strasbourg, GMRC Pôle de Santé Publique, F-, Strasbourg, France, Université de Strasbourg, CNRS, iCUBE UMR , F-, Strasbourg, France, Corresponding author
备注：49 pages, 7 figures, 4 tables
链接：https://arxiv.org/abs/2107.01271

【46】 Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm
标题：基于近似消息传递算法的稀疏群套索渐近统计分析
作者：Kan Chen,Zhiqi Bu,Shiyun Xu
机构：Graduate Group of Applied Mathematics and Computational Science, School of Arts, and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A.
链接：https://arxiv.org/abs/2107.01266

【47】 Uncertainty in Lung Cancer Stage for Outcome Estimation via Set-Valued Classification
标题：集值分类在肺癌分期预后估计中的不确定性
作者：Savannah Bergquist,Gabriel Brooks,Mary Beth Landrum,Nancy Keating,Sherri Rose
机构：Haas School of Business, University of, California, Berkeley, CA, United States, The Dartmouth Institute for Health Policy, and Clinical Practice, Geisel School of, Medicine, NH, United States, Department of Health Care Policy, Harvard
备注：Code available at: this https URL
链接：https://arxiv.org/abs/2107.01251

【48】 Truncated Marginal Neural Ratio Estimation
标题：截断边缘神经比估计
作者：Benjamin Kurt Miller,Alex Cole,Patrick Forré,Gilles Louppe,Christoph Weniger
机构：University of Amsterdam, University of Liège
备注：9 pages. 23 pages with references and supplemental material. Code available at this http URL Underlying library this http URL
链接：https://arxiv.org/abs/2107.01214

【49】 Feature Cross Search via Submodular Optimization
标题：基于子模块优化的特征交叉搜索
作者：Lin Chen,Hossein Esfandiari,Gang Fu,Vahab S. Mirrokni,Qian Yu
备注：Accepted to ESA 2021. Authors are ordered alphabetically
链接：https://arxiv.org/abs/2107.02139

【50】 Subset Privacy: Draw from an Obfuscated Urn
标题：子集隐私：从模糊的骨灰盒中提取
作者：Ganghua Wang,Jie Ding
机构： Ding are with the School of Statistics, University of Minnesota
链接：https://arxiv.org/abs/2107.02013

【51】 Fast and Scalable Optimal Transport for Brain Tractograms
标题：快速可扩展的脑电地形图优化传输
作者：Jean Feydy,Pierre Roussillon,Alain Trouvé,Pietro Gori
机构： CMLA, ENS Paris-Saclay, France, DMA, ´Ecole Normale Sup´erieure, Paris, France, LTCI, T´el´ecom ParisTech, Institut Mines T´el´ecom, Paris, France
备注：None
链接：https://arxiv.org/abs/2107.02010

【52】 Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
标题：用于电子商务欺诈检测的机器学习：研究议程
作者：Niek Tax,Kees Jan de Vries,Mathijs de Jong,Nikoleta Dosoula,Bram van den Akker,Jon Smith,Olivier Thuong,Lucas Bernardi
备注：Accepted and to appear in the proceedings of the KDD 2021 co-located workshop: the 2nd International Workshop on Deployable Machine Learning for Security Defense (MLHat)
链接：https://arxiv.org/abs/2107.01979

【53】 Universal Approximation of Functions on Sets
标题：集合上函数的泛逼近
作者：Edward Wagstaff,Fabian B. Fuchs,Martin Engelcke,Michael A. Osborne,Ingmar Posner
机构：Department of Engineering Science, University of Oxford, Oxford, UK
备注：54 pages, 13 figures
链接：https://arxiv.org/abs/2107.01959

【54】 Partition and Code: learning how to compress graphs
标题：分区和代码：学习如何压缩图形
作者：Giorgos Bouritsas,Andreas Loukas,Nikolaos Karalias,Michael M. Bronstein
机构：Imperial College London, UK,EPFL,Twitter, UK
链接：https://arxiv.org/abs/2107.01952

【55】 Differentially Private Sliced Wasserstein Distance
标题：微分私有分片Wasserstein距离
作者：Alain Rakotomamonjy,Liva Ralaivola
备注：None
链接：https://arxiv.org/abs/2107.01848

【56】 Fast Rate Learning in Stochastic First Price Bidding
标题：随机首标中的快速费率学习
作者：Juliette Achddou,Olivier Cappé,Aurélien Garivier
机构： DI ENS, Inria, ENS Paris, Université PSL, Numberly, DI ENS, Inria, ENS Paris, Université PSL,CNRS, UMPA,CNRS, Inria, ENS Lyon
链接：https://arxiv.org/abs/2107.01835

【57】 An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data
标题：一种用于高维生物医学数据诊断的可解释人工智能系统
作者：Alfred Ultsch,Jörg Hoffmann,Maximilian Röhnert,Malte Von Bonin,Uta Oelschlägel,Cornelia Brendel,Michael C. Thrun
机构：) Databionics, Mathematics and Computer Science, Philipps-Universität Marburg, Hans-Meerwein-Straße , D-, Marburg., ) J Department of Hematology, Oncology and Immunology, Philipps-University, Baldinger Str., D-, Marbrug.
备注：22 pages, 1 figure, 5 tables
链接：https://arxiv.org/abs/2107.01820

【58】 Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision
标题：基于自监督的空间车道网络图推理模型的学习
作者：Robin Karlsson,David Robert Wong,Simon Thompson,Kazuya Takeda
机构： 2Institute of Innovation for Future Society, Nagoya University, 3Graduate School of Informatics
备注：Accepted for IEEE ITSC 2021
链接：https://arxiv.org/abs/2107.01784

【59】 A Comparison of the Delta Method and the Bootstrap in Deep Learning Classification
标题：深度学习分类中Delta方法与Bootstrap方法的比较
作者：Geir K. Nilsen,Antonella Z. Munthe-Kaas,Hans J. Skaug,Morten Brun
机构：Department of Mathematics, University of Bergen
链接：https://arxiv.org/abs/2107.01606

【60】 Random Neural Networks in the Infinite Width Limit as Gaussian Processes
标题：无限宽度极限下的随机神经网络为高斯过程
作者：Boris Hanin
机构：Department of Operations Research and Financial Engineering, Princeton University
备注：26p
链接：https://arxiv.org/abs/2107.01562

【61】 Certifiably Robust Interpretation via Renyi Differential Privacy
标题：基于Renyi差分隐私的可证明鲁棒解释
作者：Ao Liu,Xiaoyu Chen,Sijia Liu,Lirong Xia,Chuang Gan
机构：Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, USA, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China, Department of Computer Science and Engineering, Michigan State University
备注：19 page main text + appendix
链接：https://arxiv.org/abs/2107.01561

【62】 Bayesian decision-making under misspecified priors with applications to meta-learning
标题：错误指定先验下的贝叶斯决策及其在元学习中的应用
作者：Max Simchowitz,Christopher Tosh,Akshay Krishnamurthy,Daniel Hsu,Thodoris Lykouris,Miroslav Dudík,Robert E. Schapire
链接：https://arxiv.org/abs/2107.01509

【63】 Cleaning large-dimensional covariance matrices for correlated samples
标题：清理相关样本的高维协方差矩阵
作者：Zdzislaw Burda,Andrzej Jarosz
机构：AGH University of Science and Technology, Applied Computer Science, al. Mickiewicza ,-, Krakow, Poland
备注：5 pages, 3 figures
链接：https://arxiv.org/abs/2107.01352

【64】 Principled, practical, flexible, fast: a new approach to phylogenetic factor analysis
标题：原则性、实用性、灵活性、快速性：一种新的系统发育因子分析方法
作者：Gabriel W. Hassler,Brigida Gallone,Leandro Aristide,William L. Allen,Max R. Tolkoff,Andrew J. Holbrook,Guy Baele,Philippe Lemey,Marc A. Suchard
机构：Department of Computational Medicine, David Geffen School of Medicine at UCLA, University, of California, Los Angeles, United States, VIB–KU Leuven Center for Microbiology, Leuven, Belgium
备注：27 pages, 7 figures, 1 table
链接：https://arxiv.org/abs/2107.01246

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