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SIAM/ASA Journal on Uncertainty Quantification

中文名称：暹罗/ ASA期刊不确定性量化

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发文量：238

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1.Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices

机译：Multifidelity蒙特卡罗估计方差和敏感性指数
- 作者：E. Qian;B. Peherstorfer;D. OMalleyV. V. VesselinovK. Willcox
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第2期
2.Transport Map Accelerated Markov Chain Monte Carlo

机译：交通地图加速马尔可夫链蒙特卡洛
- 作者：Matthew D. Parno;Youssef M. Marzouk
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第2期
3.On the Instability Issue of Gradient-Enhanced Gaussian Process Emulators for Computer Experiments

机译：Gradient-Enhanced的不稳定问题高斯过程计算机仿真器实验
- 作者：Xu He;Peter Chien
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第2期
- Gauss;
- Emulators;
- simulatingPositive definitevariance covariance matrix;
4.Scenario Generation Methods that Replicate Crossing Times in Spatially Distributed Stochastic Systems

机译：场景生成方法,复制穿越时间空间分布随机系统
- 作者：Joseph Durante;Raj Patel;Warren B. Powell
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第2期
- Stochastic Processes;
- stochastic systems;
- Markov chainserial modeENERGY SYSTEMScrossing;
5.Uncertainty Quantification in Graph-Based Classification of High Dimensional Data

机译：在基于不确定性量化高维数据的分类
- 作者：Andrea L. Bertozzi;Xiyang Luo;Andrew M. StuartKonstantinos C. Zygalakis
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第2期
- Bayesian inference;
- measure of uncertainty;
- dimensional dataSemi-supervised Learning;
6.Experimental Design for Partially Observed Markov Decision Processes

机译：实验设计部分观察马尔可夫决策过程
- 作者：Leifur Thorbergsson;Giles Hooker
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第2期
7.Sensitivity Analysis Based on Cramer-von Mises Distance

机译：基于Cramer-von米塞斯的敏感性分析距离
- 作者：Fabrice Gamboa;Thierry Klein;Agnes Lagnoux
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第2期
- Indexes;
- Random variable;
- based onSensitivity analysisPICK;
8.A Framework for Controlling Sources of Inaccuracy in Gaussian Process Emulation of Deterministic Computer Experiments

机译：一个框架,用于控制的误差来源在高斯过程模拟的确定性计算机实验
- 作者：Benjamin Haaland;Wenjia Wang;Vaibhav Maheshwari
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第2期
- Interpolation;
- Gaussian processes;
- GausssimulatingQuality InformationParameter estimation;
9.Representing Model Inadequacy: A Stochastic Operator Approach

机译：代表模型不足:一个随机操作方法
- 作者：Rebecca E. Morrison;Todd A. Oliver;Robert D. Moser
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第2期
10.Consistency Analysis for Massively Inconsistent Datasets in Bound-to-Bound Data Collaboration

机译：一致性分析大量不一致数据集在Bound-to-Bound数据协作
- 作者：Arun Hegde;Wenyu Li;James OrelukAndrew PackardMichael Frenklach
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第2期
- Inconsistent;
- Model checking;
- Inverse methodparameter space methodsDataset;
11.Warped Gaussian Processes and Derivative-Based Sequential Designs for Functions with Heterogeneous Variations

机译：扭曲高斯过程和衍生连续函数的设计不均匀变化
- 作者：Sebastien Marmin;David Ginsbourger;Jean BaccouJacques Liandrat
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
12.Multilevel Monte Carlo Approximation of Functions

机译：多级蒙特卡罗近似函数
- 作者：S. Krumscheid;F. Nobile
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
13.Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints

机译：有限维高斯近似与线性不等式约束
- 作者：Andres F. Lopez-Lopera;Francois Bachoc;Nicolas DurrandeOlivier Roustant
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
14.Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker--Planck Equations in Large Dimensions

机译：严格有效的统计分析精确算法求解福克-普朗克方程在大尺寸
- 作者：Nan Chen;Andrew J. Majda;Xin T. Tong
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
15.Tensor Algorithms for Advanced Sensitivity Metrics

机译：张量算法先进的敏感性指标
- 作者：Rafael Ballester-Ripoll;Enrique G. Paredes;Renato Pajarola
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
- International System of Units;
- Sensitivity analysis;
- Tensor;
16.Coupling Computer Models through Linking Their Statistical Emulators

机译：耦合通过连接他们的计算机模型统计仿真器
- 作者：Ksenia N. Kyzyurova;James O. Berger;Robert L. Wolpert
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
- Couplings;
- Emulators;
- directly coupled;
17.Efficient Distribution Estimation and Uncertainty Quantification for Elliptic Problems on Domains with Stochastic Boundaries

机译：有效分布估计和不确定性量化为椭圆问题域用随机边界
- 作者：Jehanzeb H. Chaudhry;Nathanial Burch;Donald Estep
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
- Cumulative distribution function;
- domains;
- StochasticERROR CONTROLrandom geometryPhyla;
18.Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models

机译：贪心算法的最优测量选择使用减少了状态估计模型
- 作者：Peter Binev;Albert Cohen;Olga MulaJames Nichols
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
19.Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems

机译：低秩独立分层取样器贝叶斯的逆问题
- 作者：D. Andrew Brown;Arvind Saibaba;Sarah Vallelian
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
20.Optimal Adaptation for Early Stopping in Statistical Inverse Problems

机译：最优适应早期停止统计的逆问题
- 作者：Gilles Blanchard;Marc Homann;Markus Reiss
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
21.Existence, Uniqueness, and a Comparison of Nonintrusive Methods for the Stochastic Nonlinear Poisson-Boltzmann Equation

机译：的存在性,唯一性和比较不干扰随机非线性的方法Poisson-Boltzmann方程
- 作者：Clemens Heitzinger;Michael Leumuller;Gudmund PammerStefan Rigger
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第3期
22.Inexact Methods for Symmetric Stochastic Eigenvalue Problems

机译：不精确的对称随机的方法特征值问题
- 作者：Kookjin Lee;Bedrich Sousedik
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
- Subspace;
- CENTROSYMMETRIC;
- Stochasticeigenvalues;
23.A Study of Elliptic Partial Differential Equations with Jump Diffusion Coefficients

机译：椭圆偏微分方程的研究跳扩散系数
- 作者：Andrea Barth;Andreas Stein
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
24.Evolving Surface Finite Element Methods for Random Advection-Diffusion Equations

机译：发展表面随机有限元方法Advection-Diffusion方程
- 作者：Ana Djurdjevac;Charles M. Elliott;Ralf KornhuberThomas Ranner
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
25.Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems

机译：随机模型和对数似在向前发展贝叶斯的逆问题
- 作者：H. C. Lie;T. J. Sullivan;A. L. Teckentrup
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
26.Decomposing Functional Model Inputs for Variance-Based Sensitivity Analysis

机译：分解功能模型的输入Variance-Based灵敏度分析
- 作者：Max D. Morris
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
27.Scaled Gaussian Stochastic Process for Computer Model Calibration and Prediction

机译：按比例缩小的高斯随机过程的计算机模型校准和预测
- 作者：Mengyang Gu;Long Wang
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
- Stochastic Processes;
- Calibration;
- Markov chainGaussInverse methodPosterior distribution;
28.Sliced-Inverse-Regression--Aided Rotated Compressive Sensing Method for Uncertainty Quantification

机译：Sliced-Inverse-Regression——辅助旋转压缩感知方法的不确定性量化
- 作者：Xiu Yang;Weixuan Li;Alexandre Tartakovsky
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
29.Displacement Interpolation Using Monotone Rearrangement

机译：位移插值使用单调重排
- 作者：Donsub Rim;Kyle T. Mandli
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
30.Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs

机译：稳定的加权方法减少了基础参数化平流主导问题随机输入
- 作者：Davide Torlo;Francesco Ballarin;Gianluigi Rozza
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
- REDUCTION METHODS;
- Random inputs;
- CASING INSPECTIONAdvection;
31.Multilevel Estimation of Expected Exit Times and Other Functionals of Stopped Diffusions

机译：多级估计预期的时间和退出其他的泛函,停止扩散
- 作者：Michael B. Giles;Francisco Bernal
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
- FUNCTIONALS;
- multilayers;
- StochasticNumerical Analysis;
32.Compressed Sensing with Sparse Corruptions: Fault-Tolerant Sparse Collocation Approximations

机译：压缩传感与稀疏的堕落:容错近似稀疏的搭配
- 作者：Ben Adcock;Anyi Bao;John D. JakemanAkil Narayan
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
33.Conditional-Value-at-Risk Estimation via Reduced-Order Models

机译：Conditional-Value-at-Risk评估通过降维模型
- 作者：Matthias Heinkenschloss;Boris Kramer;Timur TakhtaganovKaren Willcox
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
- importance sampling;
- Reduced order model;
- SamplingRisk estimationCVAR;
34.Robust Information Divergences for Model-Form Uncertainty Arising from Sparse Data in Random PDE

机译：强大的信息模式的差异在随机不确定性引起的稀疏数据
- 作者：Eric Joseph Hall;Markos A. Katsoulakis
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
- Sparse data;
- equilibrium flow;
- UncertaintySensitivity analysis;
35.Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error

机译：渐近预测不确定性和不稳定子空间的存在加性模型错误
- 作者：Colin Grudzien;Alberto Carrassi;Marc Bocquet
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
36.Uncertainty Quantification for Low-Frequency, Time-Harmonic Maxwell Equations with Stochastic Conductivity Models

机译：不确定性量化为低频,与随机正弦时变麦克斯韦方程电导率模型
- 作者：Dimitris Kamilis;Nick Polydorides
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
37.Efficient white noise sampling and coupling for multilevel Monte Carlo with non-nested meshes

机译：高效的白噪声采样和耦合多级蒙特卡罗non-nested网格
- 作者：M. Croci;M. B. Giles;M. E. RognesP. E. Farrell
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
- white noise;
- FINITE ELEMENT;
- Sampling techniquesmass matrix;
38.Calibrating a Stochastic Agent Based Model Using Quantile-based Emulation

机译：使用校准基于随机代理模型Quantile-based仿真
- 作者：Arindam Fadikar;Dave Higdon;Jiangzhuo ChenBrian LewisSrini VenkatramananMadhav Marathe
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2018年第4期
39.Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis--Hastings

机译：一类基于独立大都市的多级马尔可夫链蒙特卡罗算法分析--Hastings
- 作者：Juan P. Madrigal-Cianci;Fabio Nobile;Raul Tempone
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
40.On the Deep Active-Subspace Method

机译：关于深度主动子空间方法
- 作者：Wouter Edeling
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
41.Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method

机译：使用交叉熵方法进行贝叶斯更新的认证降维
- 作者：Max Ehre;Rafael Flock;Martin FussederIason PapaioannouDaniel Straub
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
42.Complete Deterministic Dynamics and Spectral Decomposition of the Linear Ensemble Kalman Inversion

机译：线性系综卡尔曼反演的完全确定性动力学和谱分解
- 作者：Leon Bungert;Philipp Wacker
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
43.Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography

机译：X射线断层扫描背景下夹杂物边界的不确定性量化
- 作者：Babak Maboudi Afkham;Yiqiu Dong;Per Christian Hansen
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
44.Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems

机译：用于平衡多保真重要性抽样和贝叶斯逆问题中的近似和采样成本的上下文感知代理建模
- 作者：Terrence Alsup;Benjamin Peherstorfer
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
45.Generalized Sparse Bayesian Learning and Application to Image Reconstruction

机译：广义稀疏贝叶斯学习及其在图像重建中的应用
- 作者：Jan Glaubitz;Anne Gelb;Guohui Song
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
46.A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design

机译：一种快速可扩展的大规模高维贝叶斯最优实验设计计算框架
- 作者：Keyi Wu;Peng Chen;Omar Ghattas
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
47.Deep Learning in High Dimension: Neural Network Expression Rates for Analytic Functions in L~2(R~d,γ_d)

机译：高维深度学习：L~2（R~d，γ_d）中解析函数的神经网络表达率
- 作者：Christoph Schwab;Jakob Zech
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
48.Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors

机译：高斯过程先验下大规模线性逆问题的不确定性量化与实验设计
- 作者：Cedric Travelletti;David Ginsbourger;Niklas Linde
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
49.On the Generalized Langevin Equation for Simulated Annealing

机译：关于模拟退火的广义Langevin方程
- 作者：Martin Chak;Nikolas Kantas;Grigorios A. Pavliotis
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
50.Multilevel Delayed Acceptance MCMC

机译：多级延迟验收 MCMC
- 作者：M. B. Lykkegaard;T. J. Dodwell;C. FoxG. MingasR. Scheichl
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第1期
51.Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise

机译：无约束白噪声下一般线性逆问题的无噪声级正则化
- 作者：Tim Jahn
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第2期
- statistical inverse problems;
- heuristic discrepancy principle;
- unknown noise level;
- convergence;
52.Wavenumber-Explicit Parametric Holomorphy of Helmholtz Solutions in the Context of Uncertainty Quantification

机译：不确定性量化背景下亥姆霍兹解的波数显式参数全拟
- 作者：E. A. Spence;J. Wunsch
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第2期
- Helmholtz;
- high-frequency;
- parametric holomorphy;
53.The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models

机译：零问题：用于范围约束计算机模型的高斯过程仿真器
- 作者：Elaine T. Spiller;Robert L. Wolpert;Pablo TierzTaylor G. Asher
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第2期
54.Multifidelity Surrogate Modeling for Time-Series Outputs

机译：时间序列输出的多保真代理建模
- 作者：Baptiste Kerleguer
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第2期
- Gaussian processes;
- time-series outputs;
- tensorized covariance;
- dimension reduction;
55.Convergence Rates for Learning Linear Operators from Noisy Data

机译：从噪声数据中学习线性算子的收敛率
- 作者：Maarten V. de Hoop;Nikola B. Kovachk;Nicholas H. NelsenAndrew M. Stuart
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第2期
- operator learning;
- linear inverse problems;
- Bayesian inference;
- posterior consistency;
- statistica learning theory;
- distribution shift;
56.Nonparametric Posterior Learning for Emission Tomography

机译：发射断层扫描的非参数后验学习
- 作者：Fedor Goncharov;Eric Barat;Thomas Dautremer
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第2期
- tomography;
- inverse problems;
- MCMC;
- Bayesian inference;
- bootstrap;
57.Gaussian Process Regression on Nested Spaces

机译：嵌套空间上的高斯过程回归
- 作者：Christophette Blanchet-Scalliet;Bruno Demory;Thierry GononCeline Helbert
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第2期
- metamodel;
- kriging;
- Gaussian process regression;
- high dimension;
- infinite conditioning;
- multifidelity;
- nested spaces;
- variable-size design space problems;
58.Robust Kalman and Bayesian Set-Valued Filtering and Model Validation for Linear Stochastic Systems

机译：线性随机系统的鲁棒卡尔曼和贝叶斯集值滤波和模型验证
- 作者：Adrian N. Bishop;Pierre Del Moral
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第2期
- Kalman filtering;
- robust filtering;
- set-valued filtering;
- linear stochastic systems;
- partial prior information;
- change of measure;
59.Risk-Adapted Optimal Experimental Design

机译：风险适应最优实验设计
- 作者：Kouri Drew P.;Jakeman John D.;Huerta J. Gabriel
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第2期
60.Extrapolated Polynomial Lattice Rule Integration in Computational Uncertainty Quantification

机译：计算不确定性量化中的外推多项式格子规则积分
- 作者：Dick Josef;Longo Marcello;Schwab Christoph
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第2期
61.Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process

机译：输入位置误差高斯过程及其在复合材料零件装配过程中的应用
- 作者：Wang Wenjia;Yue Xiaowei;Haaland BenjaminWu C. F. Jeff
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第2期
- Key words;
- Gaussian process;
- input location error;
- stochastic Kriging;
- composite parts assembly;
- COMPUTER EXPERIMENTS;
- DESIGN;
62.Multilevel Ensemble Kalman-Bucy Filters

机译：多电平集成卡尔曼-布西滤波器
- 作者：Chada Neil K.;Jasra Ajay;Yu Fangyuan
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第2期
63.Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics

机译：基于非高斯统计的强非线性流的生成随机建模
- 作者：Arbabi Hassan;Sapsis Themistoklis
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第2期
64.Scaled Vecchia Approximation for Fast Computer-Model Emulation

机译：用于快速计算机模型仿真的缩放 Vecchia 近似
- 作者：Katzfuss Matthias;Guinness Joseph;Lawrence Earl
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第2期
65.Continuum Covariance Propagation for Understanding Variance Loss in Advective Systems

机译：用于理解平流系统中方差损失的连续统协方差传播
- 作者：Gilpin Shay;Matsuo Tomoko;Cohn Stephen E.
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第3期
66.Ensemble Markov Chain Monte Carlo with Teleporting Walkers

机译：Ensemble Markov Chain Monte Carlo with Teleporting Walkers
- 作者：Lindsey Michael;Weare Jonathan;Zhang Anna
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第3期
67.Objective Frequentist Uncertainty Quantification for Atmospheric CO2 Retrievals

机译：大气CO2反演的客观频率不确定性量化
- 作者：Patil Pratik;Kuusela Mikael;Hobbs Jonathan
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第3期
68.A Multilevel Stochastic Collocation Method for Schrodinger Equations with a Random Potential

机译：一种随机势薛定谔方程的多级随机搭配方法
- 作者：Tobias Jahnke;Benny Stein
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
69.Calibration of Inexact Computer Models with Heteroscedastic Errors

机译：具有异方差误差的不精确计算机模型的校准
- 作者：Chih-Li Sung;Beau David Barber;Berkley J. Walker
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
70.On Negative Transfer and Structure of Latent Functions in Multioutput Gaussian Processes

机译：多输出高斯过程中潜在函数的负传递与结构
- 作者：Moyan Li;Raed Kontar
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
71.Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks

机译：Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks
- 作者：Shiwei Lan;Shuyi Li;Babak Shahbaba
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
72.Penalized Projected Kernel Calibration for Computer Models

机译：计算机模型的惩罚性投影核校准
- 作者：Yan Wang
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
73.A Locally Adapted Reduced-Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems

机译：一种求解规避风险偏微分方程约束优化问题的局部适应降基方法
- 作者：Zilong Zou;Drew P. Kouri;Wilkins Aquino
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
74.Uncertainty Quantification by Multilevel Monte Carlo and Local Time-Stepping for Wave Propagation

机译：波传播的多能级蒙特卡罗和局部时间步长的不确定性量化
- 作者：Marcus J. Grote;Simon Michel;Fabio Nobile
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
75.Test Comparison for Sobol Indices over Nested Sets of Variables

机译：Sobol 索引与嵌套变量集的检验比较
- 作者：Thierry Klein;Nicolas Peteilh;Paul Rochet
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
76.Statistical Finite Elements via Langevin Dynamics

机译：Statistical Finite Elements via Langevin Dynamics
- 作者：Omer Deniz Akyildiz;Connor Duffin;Sotirios SabanisMark Girolami
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
77.A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors

机译：Gamma超先验逆问题的变分推理方法
- 作者：Shiv Agrawal;Hwanwoo Kim;Danie Sanz-AlonsoAlexander Strang
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
78.Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference

机译：用于高维贝叶斯推理的投影 Wasserstein 梯度下降
- 作者：Yifei Wang;Peng Chen;Wuchen Li
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
- Bayesian inference;
- dimension reduction;
- Wasserstein gradient flow;
79.Model Uncertainty and Correctability for Directed Graphical Models

机译：有向图形模型的模型不确定性和可纠正性
- 作者：Panagiota Birmpa;Jinchao Feng;Markos A. KatsoulakisLuc Rey-Bellet
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
80.A Theoretical Framework of the Scaled Gaussian Stochastic Process in Prediction and Calibration

机译：标度高斯随机过程在预测与标定中的理论框架
- 作者：Mengyang Gu;Fangzheng Xie;Long Wang
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
81.A General Framework of Rotational Sparse Approximation in Uncertainty Quantification

机译：A General Framework of Rotational Sparse Approximation in Uncertainty Quantification
- 作者：Mengqi Hu;Yifei Lou;Xiu Yang
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
82.Superfloe Parameterization with Physics Constraints for Uncertainty Quantification of Sea Ice Floes

机译：基于物理约束的浮冰参数化，用于浮冰不确定性量化
- 作者：Nan Chen;Quanling Deng;Samuel Stechmann
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
83.A Comparative Study of Polynomial-Type Chaos Expansions for Indicator Functions

机译：多项式式混沌展开对指标函数的比较研究
- 作者：Florian Bourgey;Emmanuel Gobet;Clement Rey
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
- metamodeling;
- orthogonal polynomials;
- polynomial chaos expansion;
84.Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy

机译：高斯过程的有限元表示：平衡数值和统计精度
- 作者：Daniel Sanz-Alonso;Ruiyi Yang
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2022年第4期
85.Quantifying and Managing Uncertainty in Piecewise-Deterministic Markov Processes

机译：Quantifying and Managing Uncertainty in Piecewise-Deterministic Markov Processes
- 作者：Elliot Cartee;Antonio Farah;April NellisJacob Van HookAlexander Vladimirsky
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
- piecewise-deterministic process;
- optimal control;
- Hamilton-Jacobi PDEs;
- uncertainty quantification;
- robustness;
86.Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions

机译：Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions
- 作者：Patil Prerna;Babaee Hessam
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
87.Robust Level-Set-Based Topology Optimization Under Uncertainties Using Anchored ANOVA Petrov-Galerkin Method

机译：Robust Level-Set-Based Topology Optimization Under Uncertainties Using Anchored ANOVA Petrov-Galerkin Method
- 作者：Christophe Audouze;Aaron Klein;Adrian ButscherNigel MorrisPrasanth NairMasayuki Yano
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
88.Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace Approximation

机译：Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace Approximation
- 作者：Vladimir Spokoiny
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
- Gaussian approximation;
- effective and critical dimension;
- posterior mean;
89.Active Learning of Tree Tensor Networks using Optimal Least Squares

机译：Active Learning of Tree Tensor Networks using Optimal Least Squares
- 作者：Cecile Haberstich;A. Nouy;G. Perrin
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
90.Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification

机译：Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification
- 作者：Nathaniel Pritchard;Vivak Patel
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
- random sketching;
- linear systems;
- iterative methods;
- gradient estimation;
- stopping criterion;
- least-squares;
- coordinate descent;
- 4D-Var;
91.Ensemble-Based Gradient Inference for Particle Methods in Optimization and Sampling

机译：Ensemble-Based Gradient Inference for Particle Methods in Optimization and Sampling
- 作者：Claudia Schillings;Claudia Totzeck;Philipp Wacker
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
- optimization;
- sampling;
- Langevin dynamics;
- ensemble methods;
92.Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions

机译：Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions
- 作者：Shanyin Tong;Georg Stadler
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
93.A Simple, Bias-free Approximation of Covariance Functions by the Multilevel Monte Carlo Method Having Nearly Optimal Complexity

机译：A Simple, Bias-free Approximation of Covariance Functions by the Multilevel Monte Carlo Method Having Nearly Optimal Complexity
- 作者：Alexey Chernov;Erik Marc Schetzke
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
- covariance functions;
- sparse tensor product;
- multilevel Monte Carlo;
94.Evaluating Forecasts for High-Impact Events Using Transformed Kernel Scores

机译：Evaluating Forecasts for High-Impact Events Using Transformed Kernel Scores
- 作者：Sam Allen;David Ginsbourger;Johanna Ziegel
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
- forecast verification;
- kernels;
- scoring rules;
- high-impact events;
95.Bayesian Inference with Projected Densities

机译：Bayesian Inference with Projected Densities
- 作者：Jasper M. Everink;Yiqiu Dong;Martin S. Andersen
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
- Bayesian inference;
- constraints;
- inverse problems;
- uncertainty quantification;
96.Deep Surrogate Accelerated Delayed-Acceptance Hamiltonian Monte Carlo for Bayesian Inference of Spatio-Temporal Heat Fluxes in Rotating Disc Systems

机译：Deep Surrogate Accelerated Delayed-Acceptance Hamiltonian Monte Carlo for Bayesian Inference of Spatio-Temporal Heat Fluxes in Rotating Disc Systems
- 作者：Teo Deveney;Eike H. Mueller;Tony Shardlow
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
- Bayesian inverse problems;
- deep learning;
- surrogate models;
- delayed-acceptance HMC;
97.Fast Calibration for Computer Models with Massive Physical Observations

机译：Fast Calibration for Computer Models with Massive Physical Observations
- 作者：Shurui Lv;Jun Yu;Yan WangJiang Du
- 期刊名称：《SIAM/ASA Journal on Uncertainty Quantification》 | 2023年第3期
- massive data;
- weighted least squares calibration;
- optimal subsampling;
- Poisson sampling;

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