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stat 方向,今日共計70篇
【1】 GEECORR: A SAS macro for regression models of correlated binary responses and within-cluster correlation using generalized estimating equations
標題:GEECORR:使用廣義估計方程建立相關二元響應和簇內相關回歸模型的SAS宏
作者: Tracie L. Shing, John S. Preisser, Richard C. Zink
連結:https://arxiv.org/abs/2011.11592
【2】 Approximate Tolerance and Prediction in Non-normal Models with Application to Clinical Trial Recruitment and End-of-study Success
標題:非正態模型的近似耐受性和預測及其在臨床試驗招募和研究結束成功中的應用
作者: Geoffrey S Johnson
連結:https://arxiv.org/abs/2011.11583
【3】 On a Bayesian Approach to Malware Detection and Classification through $n$-gram Profiles
標題:基於$n$-gram輪廓的貝葉斯惡意軟體檢測與分類方法
作者: José A. Perusquía, Jim E. Griffin, Cristiano Villa
連結:https://arxiv.org/abs/2011.11558
【4】 Conditional canonical correlation estimation based on covariates with random forests
標題:基於隨機森林協變量的條件典型相關估計
作者: Cansu Alakus, Denis Larocque, Sebastien Jacquemont, Fanny Barlaam, Charles-Olivier Martin, Kristian Agbogba, Sarah Lippe, Aurelie Labbe
備註:25 pages, 8 figures, 1 table
連結:https://arxiv.org/abs/2011.11555
【5】 Bayesian dose-regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics
標題:結合藥動學和藥效學的早期腫瘤學貝葉斯劑量方案評價
作者: Emma Gerard, Sarah Zohar, Hoai-Thu Thai, Christelle Lorenzato, Marie-Karelle Riviere, Moreno Ursino
備註:16 pages, 4 figures, 2 tables
連結:https://arxiv.org/abs/2011.11480
【6】 Dimensionality reduction, regularization, and generalization in overparameterized regressions
標題:過參數回歸中的降維、正則化和泛化
作者: Ningyuan (Teresa) Huang, David W. Hogg, Soledad Villar
連結:https://arxiv.org/abs/2011.11477
【7】 Ordinary differential equations (ODE): metric entropy and nonasymptotic theory for noisy function fitting
標題:常微分方程(ODE):度量熵與噪聲函數擬合的非漸近理論
作者: Ying Zhu, Mozhgan Mirzaei
連結:https://arxiv.org/abs/2011.11371
【8】 Use of Computer Applications for Determining the Best Possible Runway Orientation using Wind Rose Diagrams
標題:利用風玫瑰圖確定最佳跑道方位的計算機應用
作者: Manmeet Singh, Tanuj Chopra
連結:https://arxiv.org/abs/2011.11354
【9】 Asymptotics of the Empirical Bootstrap Method Beyond Asymptotic Normality
標題:超越漸近正態分布的經驗Bootstrap方法的漸近性
作者: Morgane Austern, Vasilis Syrgkanis
連結:https://arxiv.org/abs/2011.11248
【10】 Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits
標題:線性Logistic模型的改進置信限及其在線性土匪中的應用
作者: Kwang-Sung Jun, Lalit Jain, Houssam Nassif
連結:https://arxiv.org/abs/2011.11222
【11】 Bayesian Nonparametric Estimation for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
標題:具有空間均勻性的點過程的貝葉斯非參數估計:NBA投籃位置的空間分析
作者: Fan Yin, Jieying Jiao, Guanyu Hu, Jun Yan
連結:https://arxiv.org/abs/2011.11178
【12】 Gonogo: An R Implementation of Test Methods to Perform, Analyze and Simulate Sensitivity Experiments
標題:Gonogo:執行、分析和模擬敏感性實驗的測試方法的R實現
作者: Paul A. Roediger
備註:This documentation is 58 pages in length and contains 31 figures, 40 tables and 2 flow diagrams. The subject of much of the paper, the gonogo.R file, contains 118 functions plus 2 constants and is available online
連結:https://arxiv.org/abs/2011.11177
【13】 Level sets of depth measures and central dispersion in abstract spaces
標題:抽象空間中深度測度的水平集與中心離散性
作者: Alejandro Cholaquidis, Ricardo Fraiman, Leonardo Moreno
連結:https://arxiv.org/abs/2011.11146
【14】 Weighted lens depth: Some applications to supervised classification
標題:加權透鏡深度:在監督分類中的一些應用
作者: Alejandro Cholaquidis, Ricardo Fraiman, Fabrice Gamboa, Leonardo Moreno
備註:19
連結:https://arxiv.org/abs/2011.11140
【15】 Data Driven Robust Estimation Methods for Fixed Effects Panel Data Models
標題:固定效應面板數據模型的數據驅動穩健估計方法
作者: Beste Hamiye Beyaztas, Soutir Bandyopadhyay
連結:https://arxiv.org/abs/2011.11123
【16】 Online Orthogonal Matching Pursuit
標題:在線正交匹配追打
作者: El Mehdi Saad, Gilles Blanchard, Sylvain Arlot
連結:https://arxiv.org/abs/2011.11117
【17】 A non-autonomous equation discovery method for time signal classification
標題:一種用於時間信號分類的非自治方程發現方法
作者: Ryeongkyung Yoon, Harish S. Bhat, Braxton Osting
備註:25 pages, 2 figures
連結:https://arxiv.org/abs/2011.11096
【18】 Integrating automated acoustic vocalization data and point count surveys for efficient estimation of bird abundance
標題:集成自動聲學發聲數據和點計數調查以有效估計鳥類數量
作者: Jeffrey W. Doser, Andrew O. Finley, Aaron S. Weed, Elise F. Zipkin
備註:26 pages, 5 figures
連結:https://arxiv.org/abs/2011.11047
【19】 Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game
標題:像職業球員一樣打球嗎?飛鏢博弈的動態零和博弈求解
作者: Martin B. Haugh (1), Chun Wang (2) ((1) Department of Analytics, Marketing & Operations, Imperial College Business School, Imperial College, (2) Department of Management Science and Engineering, School of Economics and Management, Tsinghua University)
連結:https://arxiv.org/abs/2011.11031
【20】 Sample size calculation for the Andersen-Gill model comparing rates of recurrent events
標題:Andersen-Gill模型比較復發率的樣本量計算
作者: Yongqiang Tang, Ronan Fitzpatrick
備註:10
連結:https://arxiv.org/abs/2011.11026
【21】 Exploiting network information to disentangle spillover effects in a field experiment on teens' museum attendance
標題:利用網絡信息解決青少年博物館參觀現場實驗中的溢出效應
作者: Silvia Noirjean, Marco Mariani, Alessandra Mattei, Fabrizia Mealli
備註:Original article, 36 pages, 3 figures
連結:https://arxiv.org/abs/2011.11023
【22】 Inferring the unknown parameters in Differential Equation by Gaussian Process Regression with Constraint
標題:用帶約束的高斯過程回歸推斷微分方程中的未知參數
作者: Ying Zhou, Hongqiao Wang
連結:https://arxiv.org/abs/2011.10971
【23】 Least favorability of the uniform distribution for tests of the concavity of a distribution function
標題:分布函數凹性檢驗中均勻分布的最不可選性
作者: Brendan K. Beare
連結:https://arxiv.org/abs/2011.10965
【24】 Locally Linear Embedding and its Variants: Tutorial and Survey
標題:局部線性嵌入及其變體:教程和綜述
作者: Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
備註:To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning
連結:https://arxiv.org/abs/2011.10925
【25】 Minimum Hellinger distance estimates for a periodically time-varying long memory parameter
標題:周期時變長記憶參數的最小Hellinger距離估計
作者: Amine Amimour, Karima Belaide, Ouagnina Hili
連結:https://arxiv.org/abs/2011.10880
【26】 Gaussian orthogonal latent factor processes for large incomplete matrices of correlated data
標題:相關數據大不完全矩陣的高斯正交潛因子過程
作者: Mengyang Gu, Hanmo Li
連結:https://arxiv.org/abs/2011.10863
【27】 Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly
標題:考慮輸入不確定性的複合材料結構裝配神經網絡高斯過程
作者: Cheolhei Lee, Jianguo Wu, Wenjia Wang, Xiaowei Yue
連結:https://arxiv.org/abs/2011.10861
【28】 Central and Non-central Limit Theorems arising from the Scattering Transform and its Neural Activation Generalization
標題:散射變換的中心和非中心極限定理及其神經激活推廣
作者: Gi-Ren Liu, Yuan-Chung Sheu, Hau-Tieng Wu
連結:https://arxiv.org/abs/2011.10801
【29】 Parameter estimation for threshold Ornstein-Uhlenbeck processes from discrete observations
標題:基於離散觀測的門限Ornstein-Uhlenbeck過程的參數估計
作者: Yaozhong Hu, Yuejuan Xi
連結:https://arxiv.org/abs/2011.10793
【30】 A Bayesian framework for patient-level partitioned survival cost-utility analysis
標題:患者水平分區生存成本-效用分析的貝葉斯框架
作者: Andrea Gabrio
連結:https://arxiv.org/abs/2011.10732
【31】 Phase transition of graph Laplacian of high dimensional noisy random point cloud
標題:高維噪聲隨機點雲的圖拉普拉斯相變
作者: Xiucai Ding, Hau-Tieng Wu
連結:https://arxiv.org/abs/2011.10725
【32】 Robust statistical inference for the matched net benefit and the matched win ratio using prioritized composite endpoints
標題:基於優先級組合端點的匹配淨收益和匹配贏率的穩健統計推斷
作者: Roland A. Matsouaka, Adrian Coles
備註:27 pages, 7 figures
連結:https://arxiv.org/abs/2011.10720
【33】 A method for evaluating options for motif detection in electricity meter data
標題:一種電能表數據中模體檢測選項的評估方法
作者: Ian Dent, Tony Craig, Uwe Aickelin, Tom Rodden
備註:Journal of Datascience, Volume 16, Issue 1
連結:https://arxiv.org/abs/2011.10661
【34】 Lightweight Data Fusion with Conjugate Mappings
標題:基於共軛映射的輕量級數據融合
作者: Christopher L. Dean, Stephen J. Lee, Jason Pacheco, John W. Fisher III
連結:https://arxiv.org/abs/2011.10607
【35】 CompModels: A suite of computer model test functions for Bayesian optimization
標題:CompModels:一套貝葉斯優化的計算機模型測試函數
作者: Tony Pourmohamad
連結:https://arxiv.org/abs/2011.10589
【36】 Robust smoothed canonical correlation analysis for functional data
標題:函數數據的魯棒平滑典型相關分析
作者: Graciela Boente, Nadia Kudraszow
連結:https://arxiv.org/abs/2011.10576
【37】 Conjecturing-Based Computational Discovery of Patterns in Data
標題:基於猜想的數據模式計算發現
作者: J.P. Brooks, D.J. Edwards, C.E. Larson, N. Van Cleemput
備註:25 pages, 6 figures
連結:https://arxiv.org/abs/2011.11576
【38】 Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
標題:線性函數逼近強化學習的對數遺憾
作者: Jiafan He, Dongruo Zhou, Quanquan Gu
備註:20 pages
連結:https://arxiv.org/abs/2011.11566
【39】 Sparse linear regression -- CLuP achieves the ideal \emph{exact} ML
標題:MYMEMORY WARNING: YOU USED ALL AVAILABLE FREE TRANSLATIONS FOR TODAY. NEXT AVAILABLE IN 19 HOURS 51 MINUTES 16 SECONDSVISIT HTTPS://MYMEMORY.TRANSLATED.NET/DOC/USAGELIMITS.PHP TO TRANSLATE MORE
作者: Mihailo Stojnic
連結:https://arxiv.org/abs/2011.11550
【40】 Rephased CLuP
標題:重新階段化群集
作者: Mihailo Stojnic
連結:https://arxiv.org/abs/2011.11527
【41】 Algorithmic random duality theory -- large scale CLuP
標題:算法隨機對偶理論--大規模聚類
作者: Mihailo Stojnic
連結:https://arxiv.org/abs/2011.11516
【42】 condLSTM-Q: A novel deep learning model for predicting Covid-19 mortality in fine geographical Scale
標題:condLSTM-Q:一種預測細地理尺度冠狀病毒死亡率的新型深度學習模型
作者: HyeongChan Jo (1), Juhyun Kim (2), Tzu-Chen Huang (3), Yu-Li Ni (1) ((1) Division of Biology and Biological Engineering, Caltech, (2) The Division of Physics Mathematics and Astronomy, Caltech, (3) Walter Burke Institute for Theoretical Physics, Caltech)
備註:15 pages, 9 figures
連結:https://arxiv.org/abs/2011.11507
【43】 Social Determinants of Recidivism: A Machine Learning Solution
標題:累犯的社會決定因素:一種機器學習解決方案
作者: Vik Shirvaikar, Choudur Lakshminarayan
備註:11 pages, 15 tables
連結:https://arxiv.org/abs/2011.11483
【44】 Generative Adversarial Simulator
標題:產生式對抗性模擬器
作者: Jonathan Raiman
備註:Presented at the Beyond "Tabula Rasa" in Reinforcement Learning (BeTR-RL): Agents that remember, adapt, and generalize ICLR 2020 workshop
連結:https://arxiv.org/abs/2011.11472
【45】 Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization
標題:成本感知貝葉斯優化的Pareto-Efficient捕獲函數
作者: Gauthier Guinet, Valerio Peronne, Cédric Archambeau
備註:11 pages, 9 figures, 4th Workshop on Meta-Learning at NeurIPS 2020
連結:https://arxiv.org/abs/2011.11456
【46】 Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems
標題:基於在線學習的約束線性不確定系統的風險厭惡隨機預測控制
作者: Chao Ning, Fengqi You
連結:https://arxiv.org/abs/2011.11441
【47】 On Random Matrices Arising in Deep Neural Networks: General I.I.D. Case
標題:關於深度神經網絡中的隨機矩陣:一般I.I.D.情形
作者: L. Pastur, V. Slavin
備註:arXiv admin note: substantial text overlap with arXiv:2001.06188
連結:https://arxiv.org/abs/2011.11439
【48】 Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains, and applications
標題:一致遍歷馬氏鏈的二階U-統計量的濃度不等式及其應用
作者: Quentin Duchemin (LAMA), Yohann de Castro (ICJ), Claire Lacour (LAMA)
備註:arXiv admin note: text overlap with arXiv:math/0607013 by other authors
連結:https://arxiv.org/abs/2011.11435
【49】 The dually flat structure for singular models
標題:奇異模型的對偶平坦結構
作者: Naomichi Nakajima, Toru Ohmoto
備註:28pages, 5figures
連結:https://arxiv.org/abs/2011.11219
【50】 Balance Regularized Neural Network Models for Causal Effect Estimation
標題:因果效應估計的平衡正則化神經網絡模型
作者: Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng, Vishal Gupta, Peter Dolan, Harish Chandran, Martin Szummer
備註:Causal Discovery & Causality-Inspired Machine Learning Workshop at Neural Information Processing Systems, 2020
連結:https://arxiv.org/abs/2011.11199
【51】 Cancer image classification based on DenseNet model
標題:基於DenseNet模型的腫瘤圖像分類
作者: Ziliang Zhong, Muhang Zheng, Huafeng Mai, Jianan Zhao, Xinyi Liu
連結:https://arxiv.org/abs/2011.11186
【52】 On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
標題:InstaHide、相位恢復與稀疏矩陣分解
作者: Sitan Chen, Zhao Song, Danyang Zhuo
備註:29 pages
連結:https://arxiv.org/abs/2011.11181
【53】 On the Convergence of Continuous Constrained Optimization for Structure Learning
標題:關於結構學習的連續約束優化的收斂性
作者: Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien
備註:NeurIPS 2020 Workshop on Causal Discovery and Causality-Inspired Machine Learning
連結:https://arxiv.org/abs/2011.11150
【54】 Uncorrelated Semi-paired Subspace Learning
標題:不相關的半成對子空間學習
作者: Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li
連結:https://arxiv.org/abs/2011.11124
【55】 A Mathematical Dashboard for the Analysis of Italian COVID-19 Epidemic Data
標題:義大利冠狀病毒流行數據分析的數學儀錶盤
作者: Nicola Parolini, Giovanni Ardenghi, Luca Dede', Alfio Quarteroni
連結:https://arxiv.org/abs/2011.11109
【56】 Non-Identifiability in Network Autoregressions
標題:網絡自回歸中的不可辨識性
作者: Federico Martellosio
連結:https://arxiv.org/abs/2011.11084
【57】 A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares
標題:基於同倫的稀疏多右手邊非負最小二乘算法
作者: Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis
備註:20 pages + 7 pages supplementary material. Submitted to Machine Learning
連結:https://arxiv.org/abs/2011.11066
【58】 Learning a Deep Generative Model like a Program: the Free Category Prior
標題:學習像程序一樣的深度生成模式:免費類別優先
作者: Eli Sennesh
連結:https://arxiv.org/abs/2011.11063
【59】 Robust Gaussian Process Regression Based on Iterative Trimming
標題:基於迭代修剪的穩健高斯過程回歸
作者: Zhao-Zhou Li, Lu Li, Zhengyi Shao
備註:7 pages, 4 figures, 1 table; code available at this https URL
連結:https://arxiv.org/abs/2011.11057
【60】 Angular Embedding: A New Angular Robust Principal Component Analysis
標題:角度嵌入:一種新的角度穩健主成分分析
作者: Shenglan Liu, Yang Yu
連結:https://arxiv.org/abs/2011.11013
【61】 Autonomous learning of nonlocal stochastic neuron dynamics
標題:非局部隨機神經元動力學的自主學習
作者: Tyler E. Maltba (1), Hongli Zhao (1), Daniel M. Tartakovsky (2) ((1) UC Berkeley, (2) Stanford University)
備註:26 pages, 12 figures, First author: Tyler E. Maltba, Corresponding author: Daniel M. Tartakovsky
連結:https://arxiv.org/abs/2011.10955
【62】 Monotonicity of the Trace-Inverse of Covariance Submatrices and Two-Sided Prediction
標題:協方差子矩陣跡逆的單調性與雙邊預測
作者: Anatoly Khina, Arie Yeredor, Ram Zamir
備註:25 pages, 3 figures
連結:https://arxiv.org/abs/2011.10810
【63】 Adversarial Classification: Necessary conditions and geometric flows
標題:對抗性分類:必要條件與幾何流
作者: Nicolas Garcia Trillos, Ryan Murray
連結:https://arxiv.org/abs/2011.10797
【64】 A Trace-restricted Kronecker-Factored Approximation to Natural Gradient
標題:自然梯度的跡約束Kronecker因子逼近
作者: Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu
連結:https://arxiv.org/abs/2011.10741
【65】 Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs
標題:網絡物理系統中基於學習的攻擊:探索、檢測和控制成本的權衡
作者: Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti
備註:Under review
連結:https://arxiv.org/abs/2011.10718
【66】 A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting
標題:銷售預測的概率時間序列模型的一個令人擔憂的分析
作者: Seungjae Jung, Kyung-Min Kim, Hanock Kwak, Young-Jin Park
備註:NeurIPS 2020 workshop (I Can't Believe It's Not Better, ICBINB@NeurIPS 2020). All authors contributed equally to this research
連結:https://arxiv.org/abs/2011.10715
【67】 Sparse sketches with small inversion bias
標題:具有小反轉偏差的稀疏草圖
作者: Michał Dereziński, Zhenyu Liao, Edgar Dobriban, Michael W. Mahoney
連結:https://arxiv.org/abs/2011.10695
【68】 On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization
標題:多個八卦步驟在通信受限分散優化中的效益分析
作者: Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit Dhillon
連結:https://arxiv.org/abs/2011.10643
【69】 Design of Experiments for Verifying Biomolecular Networks
標題:生物分子網絡驗證實驗的設計
作者: Ruby Sedgwick, John Goertz, Molly Stevens, Ruth Misener, Mark van der Wilk
連結:https://arxiv.org/abs/2011.10575
【70】 Next generation particle precipitation: Mesoscale prediction through machine learning (a case study and framework for progress)
標題:下一代粒子降水:通過機器學習進行中尺度預測(個案研究和進展框架)
作者: Ryan M. McGranaghan, Jack Ziegler, Téo Bloch, Spencer Hatch, Enrico Camporeale, Kristina Lynch, Mathew Owens, Jesper Gjerloev, Binzheng Zhang, Susan Skone
備註:Under review
連結:https://arxiv.org/abs/2011.10117