Get started
Keyword

Gaussian process approximation

Description: A statistical and computational method that uses Gaussian processes to approximate complex or expensive functions and models.
Wikidata ID: wiki/Q104845015
OpenAlex ID: keywords/gaussian-process-approximation
Choosing the Sample Size of a Computer Experiment: A Practical Guide
2009 · Jason L. Loeppky, Jerome Sacks, et al. · Technometrics · 762
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
2020 · Liu Yang, Dongkun Zhang, et al. · SIAM Journal on Scientific Computing · 485
PDF
Non-parametric Inference for Cumulative Incidence Functions in Competing Risks Studies
1997 · D. Y. LIN · Statistics in Medicine · 445
On the Estimation of a Probability Density Function by the Maximum Penalized Likelihood Method
1982 · B. W. Silverman · The Annals of Statistics · 305
PDF
Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
2001 · D. Y Lin, Z Ying · Journal of the American Statistical Association · 269
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models
2008 · Dawei Liu, Debashis Ghosh, et al. · BMC Bioinformatics · 174
PDF
First order reliability method for time-variant problems using series expansions
2014 · Zhen Hu, Xiaoping Du · Structural and Multidisciplinary Optimization · 164
Average and deviation for slow–fast stochastic partial differential equations
2012 · W. Wang, A.J. Roberts · Journal of Differential Equations · 145
PDF
Confidence bands for survival curves under the proportional: Hazards model
1994 · D. Y. L. T. R. FLEMING, L. J. WEI · Biometrika · 144
Permutation and Grouping Methods for Sharpening Gaussian Process Approximations
2018 · Joseph Guinness · Technometrics · 143
PDF
Very short-term wind power forecasting with neural networks and adaptive Bayesian learning
2010 · Ruddy Blonbou · Renewable Energy · 141
A Graphical Technique for Determining the Number of Components in a Mixture of Normals
1994 · Kathryn Roeder · Journal of the American Statistical Association · 118
Goodness‐of‐Fit Methods for Generalized Linear Mixed Models
2005 · Zhiying Pan, D. Y. Lin · Biometrics · 107
Batch sequential designs for computer experiments
2009 · Jason L. Loeppky, Leslie M. Moore, et al. · Journal of Statistical Planning and Inference · 105
Checking the Cox Model with Cumulative Sums of Martingale-Based Residuals
1993 · D. Y. Lin, L. J. Wei, et al. · Biometrika · 101
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
2019 · Kunal Menda, Katherine Driggs-Campbell, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 100
PDF
Bayesian Analysis of Hierarchical Multifidelity Codes
2013 · Loic Le Gratiet · SIAM/ASA Journal on Uncertainty Quantification · 89
PDF
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation
2016 · Turner, RE, Bui, Thang, et al. · arXiv (Cornell University) · 85
PDF
Multi-locus Analysis of Genomic Time Series Data from Experimental Evolution
2015 · Jonathan Terhorst, Christian Schlötterer, et al. · PLoS Genetics · 70
PDF
Generalized Pearson-Fisher Chi-Square Goodness-of-Fit Tests, with Applications to Models with Life History Data
1993 · Gang Li, Hani Doss · The Annals of Statistics · 66
Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions
2018 · Hongqiao Wang, Jinglai Li · Neural Computation · 63
PDF
Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: A winning solution to the NIJ “Real-Time Crime Forecasting Challenge”
2019 · Seth Flaxman, Michael Chirico, et al. · The Annals of Applied Statistics · 60
PDF
Deep probabilistic solar power forecasting with Transformer and Gaussian process approximation
2025 · Binyu Xiong, Yuntian Chen, et al. · Applied Energy · 49
Many-server heavy-traffic limit for queues with time-varying parameters
2014 · Yunan Liu, Ward Whitt · The Annals of Applied Probability · 49
PDF
Efficient Time of Arrival Estimation Algorithm Achieving Maximum Likelihood Performance in Dense Multipath
2011 · Oded Bialer, Dan Raphaeli, et al. · IEEE Transactions on Signal Processing · 46
Works count: 265
Citation count: 5,791
Year
Topic
Type