On the public citation graph

Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints

0 signed · 111 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470434642openalex-snapshot
Level Sets and Extrema of Random Processes and Fields
inferredcites →https://doi.org/10.1007/978-1-4612-0745-0openalex-snapshot
Bayesian Learning for Neural Networks
inferredcites →https://doi.org/10.1007/978-1-4757-4015-8openalex-snapshot
Foundations of Modern Probability
inferredcites →https://doi.org/10.1007/978-3-319-21021-6openalex-snapshot
Modelling and Control of Dynamic Systems Using Gaussian Process Models
inferredcites →https://doi.org/10.1007/978-3-319-33507-0_27openalex-snapshot
A New Rejection Sampling Method for Truncated Multivariate Gaussian Random Variables Restricted to Convex Sets
inferredcites →https://doi.org/10.1007/978-3-319-45026-1_2openalex-snapshot
Sampling Constrained Probability Distributions Using Spherical Augmentation
inferredcites →https://doi.org/10.1007/s11004-017-9673-2openalex-snapshot
Gaussian Process Emulators for Computer Experiments with Inequality Constraints
inferredcites →https://doi.org/10.1016/0370-2693(87)91197-xopenalex-snapshot
Hybrid Monte Carlo
inferredcites →https://doi.org/10.1016/j.csda.2013.03.016openalex-snapshot
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
inferredcites →https://doi.org/10.1016/j.ejor.2016.05.057openalex-snapshot
Kriging of financial term-structures
inferredcites →https://doi.org/10.1016/j.proenv.2015.07.105openalex-snapshot
Cross-Validation Estimations of Hyper-Parameters of Gaussian Processes with Inequality Constraints
inferredcites →https://doi.org/10.1080/10618600.1992.10477010openalex-snapshot
Numerical Computation of Multivariate Normal Probabilities
inferredcites →https://doi.org/10.1080/10618600.2013.788448openalex-snapshot
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians
inferredcites →https://doi.org/10.1080/10618600.2015.1044092openalex-snapshot
A Practical Sequential Stopping Rule for High-Dimensional Markov Chain Monte Carlo
inferredcites →https://doi.org/10.1093/biomet/asz002openalex-snapshot
Multivariate output analysis for Markov chain Monte Carlo
inferredcites →https://doi.org/10.1111/rssb.12162openalex-snapshot
The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting
inferredcites →https://doi.org/10.1137/1.9780898719512openalex-snapshot
Matrix Analysis and Applied Linear Algebra
inferredcites →https://doi.org/10.1137/140976741openalex-snapshot
Monotone Emulation of Computer Experiments
inferredcites →https://doi.org/10.1137/s1052623499362822openalex-snapshot
A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations
inferredcites →https://doi.org/10.1198/016214504000000241openalex-snapshot
Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
inferredcites →https://doi.org/10.1201/b10905openalex-snapshot
Handbook of Markov Chain Monte Carlo
inferredcites →https://doi.org/10.1214/009053605000000516openalex-snapshot
Fixed-domain asymptotics for a subclass of Matérn-type Gaussian random fields
inferredcites →https://doi.org/10.1214/08-aos676openalex-snapshot
Fixed-domain asymptotic properties of tapered maximum likelihood estimators
inferredcites →https://doi.org/10.1214/16-ejs1149openalex-snapshot
Generalization of the Kimeldorf-Wahba correspondence for constrained interpolation
inferredcites →https://doi.org/10.1214/aop/1022677459openalex-snapshot
Approximation, Metric Entropy and Small Ball Estimates for Gaussian Measures
inferredcites →https://doi.org/10.1214/aos/1015952003openalex-snapshot
Estimating structured correlation matrices in smooth Gaussian random field models
inferredcites →https://doi.org/10.1214/aos/1176349272openalex-snapshot
Maximum Likelihood Estimation of Parameters under a Spatial Sampling Scheme
inferredcites →https://doi.org/10.1214/ss/1028905934openalex-snapshot
Simulating normalizing constants: from importance sampling to bridge sampling to path sampling
inferredcites →https://doi.org/10.1214/ss/1177011137openalex-snapshot
Practical Markov Chain Monte Carlo
inferredcites →https://doi.org/10.2307/1270967openalex-snapshot
Interpolation of Spatial Data: Some Theory for Kriging
inferredcites →https://doi.org/10.48550/arxiv.1608.01118openalex-snapshot
A supermartingale approach to Gaussian process based sequential design of experiments
inferredcites →https://doi.org/10.5802/afst.1344openalex-snapshot
Gaussian process modeling with inequality constraints
inferredcites →https://doi.org/10.5860/choice.38-5065openalex-snapshot
Matrix analysis and applied linear algebra

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4664119openalex-extracted
Building Surrogate Models by Integrating Limited Simulation Data and Shape Prior Knowledge Via Adaptive Gradient Sampling Strategy
inferred← citeshttps://doi.org/10.1002/mcda.70019openalex-snapshot
Bayesian Preference Elicitation for Decision Support in Multi‐Objective Optimization
inferred← citeshttps://doi.org/10.1002/nme.7486openalex-snapshot
Nonlinear response modelling of material systems using constrained Gaussian processes
inferred← citeshttps://doi.org/10.1002/rob.70009openalex-snapshot
Tracking Control and Experiment for Propeller‐Driven Wall‐Climbing Robot Considering Actuator Dynamics and Saturation
inferred← citeshttps://doi.org/10.1007/978-3-030-43465-6_18openalex-snapshot
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
inferred← citeshttps://doi.org/10.1007/978-3-030-73249-3_15openalex-snapshot
Asymptotic Analysis of Maximum Likelihood Estimation of Covariance Parameters for Gaussian Processes: An Introduction with Proofs
inferred← citeshttps://doi.org/10.1007/978-3-031-80874-6_4openalex-snapshot
Option Pricing and Sensitivities
inferred← citeshttps://doi.org/10.1007/978-981-92-2759-4_29openalex-snapshot
Physics-Informed Gaussian Process with Sequential Virtual Point Selection for Constrained Regression
inferred← citeshttps://doi.org/10.1007/s00158-019-02438-wopenalex-snapshot
A method to efficiently localize non-dominated regions using surrogate modeling with multi-fidelity data from a sequential decision process
inferred← citeshttps://doi.org/10.1007/s00158-020-02528-0openalex-snapshot
Increasing the discriminatory power of bounding models using problem-specific knowledge when viewing design as a sequential decision process
inferred← citeshttps://doi.org/10.1007/s00466-023-02427-3openalex-snapshot
Knowledge-based modeling of simulation behavior for Bayesian optimization
inferred← citeshttps://doi.org/10.1007/s10898-020-00920-0openalex-snapshot
Gaussian process optimization with failures: classification and convergence proof
inferred← citeshttps://doi.org/10.1007/s11222-024-10541-2openalex-snapshot
Large-scale constrained Gaussian processes for shape-restricted function estimation
inferred← citeshttps://doi.org/10.1007/s11222-025-10791-8openalex-snapshot
Block-Additive Gaussian Processes under Monotonicity Constraints
inferred← citeshttps://doi.org/10.1016/j.arcontrol.2024.100932openalex-snapshot
A review of physics-based learning for system health management
inferred← citeshttps://doi.org/10.1016/j.cie.2024.110660openalex-snapshot
Integrating small data and shape prior knowledge with gradient-enhanced Kriging through adaptive knowledge sampling
inferred← citeshttps://doi.org/10.1016/j.compchemeng.2023.108320openalex-snapshot
Physics-based Penalization for Hyperparameter Estimation in Gaussian Process Regression
inferred← citeshttps://doi.org/10.1016/j.elecom.2023.107458openalex-snapshot
Application of finite Gaussian process distribution of relaxation times on SOFC electrodes
inferred← citeshttps://doi.org/10.1016/j.electacta.2022.140119openalex-snapshot
The probabilistic deconvolution of the distribution of relaxation times with finite Gaussian processes
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132038openalex-snapshot
Physics-data dual-driven approach for structural health monitoring: A systematic review
inferred← citeshttps://doi.org/10.1016/j.finel.2026.104555openalex-snapshot
Asynchronous parallel Bayesian optimization framework to search for feasible input parameters in nonlinear finite element analysis
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119068openalex-snapshot
Learning, inference, and prediction on probability density functions with constrained Gaussian processes
inferred← citeshttps://doi.org/10.1016/j.jcp.2026.114787openalex-snapshot
Efficient monotonic Gaussian processes via Randomize-then-Optimize
inferred← citeshttps://doi.org/10.1016/j.jmva.2019.104534openalex-snapshot
Composite likelihood estimation for a Gaussian process under fixed domain asymptotics
inferred← citeshttps://doi.org/10.1016/j.jspi.2020.02.008openalex-snapshot
Fixed-domain asymptotic properties of maximum composite likelihood estimators for Gaussian processes
inferred← citeshttps://doi.org/10.1016/j.ress.2019.106732openalex-snapshot
Gaussian process regression with linear inequality constraints
inferred← citeshttps://doi.org/10.1016/j.ress.2020.106870openalex-snapshot
Gaussian process metamodeling of functional-input code for coastal flood hazard assessment
inferred← citeshttps://doi.org/10.1016/j.ress.2021.107712openalex-snapshot
Information fusion and machine learning for sensitivity analysis using physics knowledge and experimental data
inferred← citeshttps://doi.org/10.1016/j.ress.2021.108054openalex-snapshot
Infrastructure recovery curve estimation using Gaussian process regression on expert elicited data
inferred← citeshttps://doi.org/10.1016/j.ress.2021.108139openalex-snapshot
Multioutput Gaussian processes with functional data: A study on coastal flood hazard assessment
inferred← citeshttps://doi.org/10.1016/j.ress.2022.108900openalex-snapshot
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges
inferred← citeshttps://doi.org/10.1016/j.taml.2020.01.036openalex-snapshot
Nonnegativity-enforced Gaussian process regression
inferred← citeshttps://doi.org/10.1016/j.ymssp.2022.109984openalex-snapshot
Constraining Gaussian processes for physics-informed acoustic emission mapping
inferred← citeshttps://doi.org/10.1021/acs.iecr.5c02499openalex-snapshot
A Novel Hybrid Modeling Framework for Polymer Reaction Engineering with Application to Real-Time Process Monitoring
inferred← citeshttps://doi.org/10.1080/00036811.2021.1988578openalex-snapshot
Convex optimization of nonlinear inequality with higher order derivatives
inferred← citeshttps://doi.org/10.1080/03610926.2022.2055768openalex-snapshot
Finite-dimensional approximation of Gaussian processes with linear inequality constraints and noisy observations
inferred← citeshttps://doi.org/10.1080/03610926.2024.2321185openalex-snapshot
Posterior contraction rates for constrained deep Gaussian processes in density estimation and classification
inferred← citeshttps://doi.org/10.1080/10485252.2024.2348542openalex-snapshot
Equivalence between constrained optimal smoothing and Bayesian estimation
inferred← citeshttps://doi.org/10.1093/jrsssc/qlaf052openalex-snapshot
Gaussian process with dissolution spline kernel for in vitro dissolution testing
inferred← citeshttps://doi.org/10.1109/icecce49384.2020.9179226openalex-snapshot
Sparse Gaussian Process Based On Hat Basis Functions
inferred← citeshttps://doi.org/10.1109/ssp64130.2025.11073282openalex-snapshot
Doubly Truncated Mode Kriging
inferred← citeshttps://doi.org/10.1109/tcbb.2019.2918774openalex-snapshot
Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila
inferred← citeshttps://doi.org/10.1115/1.4070100openalex-snapshot
Physics-Informed Machine Learning in Design and Manufacturing: Status and Challenges
inferred← citeshttps://doi.org/10.1137/21m1407513openalex-snapshot
Sequential Construction and Dimension Reduction of Gaussian Processes Under Inequality Constraints
inferred← citeshttps://doi.org/10.1137/21m1467420openalex-snapshot
The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models
inferred← citeshttps://doi.org/10.1137/24m1676491openalex-snapshot
Error Bounds for a Kernel-Based Constrained Optimal Smoothing Approximation
inferred← citeshttps://doi.org/10.1177/1351010x241305948openalex-snapshot
A Bayesian computational technique for learning the airflow resistance of acoustical fibrous materials at high temperatures
inferred← citeshttps://doi.org/10.1186/s12859-021-04508-7openalex-snapshot
Non-parametric synergy modeling of chemical compounds with Gaussian processes
inferred← citeshttps://doi.org/10.1214/19-ba1183openalex-snapshot
A Role for Symmetry in the Bayesian Solution of Differential Equations
inferred← citeshttps://doi.org/10.1214/19-ejs1587openalex-snapshot
Maximum likelihood estimation for Gaussian processes under inequality constraints
inferred← citeshttps://doi.org/10.1214/19-sts730openalex-snapshot
Some Statistical Issues in Climate Science
inferred← citeshttps://doi.org/10.1214/21-aoas1512openalex-snapshot
Adaptive design for Gaussian process regression under censoring
inferred← citeshttps://doi.org/10.1214/24-ba1429openalex-snapshot
Bayesian Analysis of Constrained Gaussian Processes
inferred← citeshttps://doi.org/10.1214/25-ba1555openalex-snapshot
Efficient Constrained Gaussian Process Approximation Using Elliptical Slice Sampling
inferred← citeshttps://doi.org/10.1615/jmachlearnmodelcomput.2020033325openalex-snapshot
TENSOR BASIS GAUSSIAN PROCESS MODELS OF HYPERELASTIC MATERIALS
inferred← citeshttps://doi.org/10.1615/jmachlearnmodelcomput.2021039837openalex-snapshot
CONSTRAINED GAUSSIAN PROCESS REGRESSION: AN ADAPTIVE APPROACH FOR THE ESTIMATION OF HYPERPARAMETERS AND THE VERIFICATION OF CONSTRAINTS WITH HIGH PROBABILITY
inferred← citeshttps://doi.org/10.20998/2078-9130.2025.2.345722openalex-snapshot
PHYSICS-GUIDED GAUSSIAN PROCESS REGRESSION FOR FATIGUE DAMAGE ACCUMULATION
inferred← citeshttps://doi.org/10.21203/rs.3.rs-11107283/v1openalex-snapshot
A comprehensive, multi-model exploration of flow scenarios for supporting probabilistic hazard assessment of pyroclastic density currents: application at Fuego volcano (Guatemala)
inferred← citeshttps://doi.org/10.3389/fmech.2024.1410190openalex-snapshot
Blending physics with data using an efficient Gaussian process regression with soft inequality and monotonicity constraints
inferred← citeshttps://doi.org/10.3389/frai.2020.00052openalex-snapshot
Exploratory-Phase-Free Estimation of GP Hyperparameters in Sequential Design Methods—At the Example of Bayesian Inverse Problems
inferred← citeshttps://doi.org/10.3390/jmse11071314openalex-snapshot
Coastal Flood at Gâvres (Brittany, France): A Simulated Dataset to Support Risk Management and Metamodels Development
inferred← citeshttps://doi.org/10.3390/jmse9111191openalex-snapshot
A User-Oriented Local Coastal Flooding Early Warning System Using Metamodelling Techniques
inferred← citeshttps://doi.org/10.3390/math13030353openalex-snapshot
Gaussian Process Regression with Soft Equality Constraints
inferred← citeshttps://doi.org/10.36227/techrxiv.22720822openalex-snapshot
A Comparative Study of Physics-Informed Machine Learning Methods for Modeling HVAC Systems
inferred← citeshttps://doi.org/10.36227/techrxiv.22720822.v1openalex-snapshot
A Comparative Study of Physics-Informed Machine Learning Methods for Modeling HVAC Systems
inferred← citeshttps://doi.org/10.3934/dcdss.2021098openalex-snapshot
Augmented Gaussian random field: Theory and computation
inferred← citeshttps://doi.org/10.48550/arxiv.1910.09328openalex-snapshot
Integrals over Gaussians under Linear Domain Constraints
inferred← citeshttps://doi.org/10.48550/arxiv.2107.06473openalex-snapshot
Spectrum Gaussian Processes Based On Tunable Basis Functions
inferred← citeshttps://doi.org/10.48550/arxiv.2110.11181openalex-snapshot
Sensing Cox Processes via Posterior Sampling and Positive Bases
inferred← citeshttps://doi.org/10.48550/arxiv.2112.07280openalex-snapshot
Posterior contraction rates for constrained deep Gaussian processes in density estimation and classication
inferred← citeshttps://doi.org/10.48550/arxiv.2206.03034openalex-snapshot
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization
inferred← citeshttps://doi.org/10.6084/m9.figshare.17982281openalex-snapshot
Additional file 1 of Non-parametric synergy modeling of chemical compounds with Gaussian processes
inferred← citeshttps://doi.org/10.70675/07975f61z019bz4c08zaae4z2fcda6cc9032openalex-snapshot
On the use of Machine Learning modeling tools in chemical process and product engineering
inferred← citeshttps://doi.org/10.70675/0d3827f3z2950z40dbza793zd8480517f362openalex-snapshot
Functional-input metamodeling : an application to coastal flood early warning
inferred← citeshttps://doi.org/10.70675/aa5cdd18z37aaz4071z9cd7z239dc8cd0455openalex-snapshot
Gaussian process regression on nested subspaces
inferred← citeshttps://doi.org/10.70675/af26b6b0z7a94z4b9bza664z435b08eac4bcopenalex-snapshot
Improved Gaussian process modeling : Application to Bayesian optimization
inferred← citeshttps://doi.org/10.70675/d7c411e0z527bz4c59z8167zcc12474a8bc4openalex-snapshot
Some contributions to financial risk management
inferred← citeshttps://doi.org/10.70675/fc461b55z6d2cz41b8z9c2az43774adf2b0copenalex-snapshot
Statistical learning and causal inference for energy production
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.