The following pages link to Support points (Q1991669):
Displaying 50 items.
- Model-robust subdata selection for big data (Q2063875) (← links)
- Bayesian optimization of functional output in inverse problems (Q2069152) (← links)
- Approximation rate in Wasserstein distance of probability measures on the real line by deterministic empirical measures (Q2071757) (← links)
- Batch sequential adaptive designs for global optimization (Q2089024) (← links)
- Performance analysis of greedy algorithms for minimising a maximum mean discrepancy (Q2104022) (← links)
- Sequential support points (Q2110342) (← links)
- Subdata selection algorithm for linear model discrimination (Q2110346) (← links)
- Representative points for distribution recovering (Q2112258) (← links)
- Properties and generation of representative points of the exponential distribution (Q2122810) (← links)
- Score-matching representative approach for big data analysis with generalized linear models (Q2136616) (← links)
- A quasi-Monte Carlo data compression algorithm for machine learning (Q2238850) (← links)
- Best finite constrained approximations of one-dimensional probabilities (Q2418017) (← links)
- A Riemann-Stein kernel method (Q2676917) (← links)
- (Q4365427) (← links)
- Uniform decomposition of probability measures: quantization, clustering and rate of convergence (Q4611267) (← links)
- Geometric Integration of Measure-Preserving Flows for Sampling (Q5021910) (← links)
- Population Quasi-Monte Carlo (Q5057081) (← links)
- Consensus Monte Carlo for Random Subsets Using Shared Anchors (Q5066739) (← links)
- Gaussian Process Prediction using Design-Based Subsampling (Q5066795) (← links)
- Bayesian Optimization of Expected Quadratic Loss for Multiresponse Computer Experiments with Internal Noise (Q5119634) (← links)
- Bayesian Quadrature, Energy Minimization, and Space-Filling Design (Q5119636) (← links)
- Minimum energy representative points (Q6056198) (← links)
- Bayes estimator of process capability index <i>C<sub>pk</sub></i> with a specified prior mean (Q6106188) (← links)
- Bayesian uncertainty quantification for low-rank matrix completion (Q6122033) (← links)
- Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy (Q6131423) (← links)
- Discrepancy-based inference for intractable generative models using quasi-Monte Carlo (Q6158226) (← links)
- Neighborhood-based cross fitting approach to treatment effects with high-dimensional data (Q6170545) (← links)
- Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method (Q6172179) (← links)
- Entropy-based subsampling methods for big data (Q6537380) (← links)
- A method of constructing optimal sliced uniform designs under discrete discrepancy (Q6541801) (← links)
- A review on design inspired subsampling for big data (Q6549149) (← links)
- Reconstruction of random fields concentrated on an unknown curve using irregularly sampled data (Q6549634) (← links)
- Independence Weights for Causal Inference with Continuous Treatments (Q6567959) (← links)
- Deterministic sampling based on Kullback-Leibler divergence and its applications (Q6579383) (← links)
- The resampling method via representative points (Q6581347) (← links)
- A distance metric-based space-filling subsampling method for nonparametric models (Q6595793) (← links)
- Data nuggets in supervised learning (Q6606419) (← links)
- Model predictivity assessment: incremental test-set selection and accuracy evaluation (Q6614835) (← links)
- Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs (Q6621644) (← links)
- Probability bound analysis: a novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis (Q6628195) (← links)
- SPlit: An Optimal Method for Data Splitting (Q6631056) (← links)
- Density Regression with Conditional Support Points (Q6631080) (← links)
- A Subsampling Method for Regression Problems Based on Minimum Energy Criterion (Q6631125) (← links)
- Calibration of Imperfect Geophysical Models by Multiple Satellite Interferograms with Measurement Bias (Q6631152) (← links)
- Constructing a Simulation Surrogate with Partially Observed Output (Q6631172) (← links)
- Efficient Model-Free Subsampling Method for Massive Data (Q6631202) (← links)
- A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling (Q6631207) (← links)
- Modification of the Maximin and <i>ϕ</i><sub><i>p</i></sub> (Phi) Criteria to Achieve Statistically Uniform Distribution of Sampling Points (Q6636554) (← links)
- Core-elements for large-scale least squares estimation (Q6643225) (← links)
- Efficient kriging using interleaved lattice-based designs with low fill and high separation distance properties (Q6645131) (← links)
