Pages that link to "Item:Q5234415"
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The following pages link to Intrinsic Gaussian Processes on Complex Constrained Domains (Q5234415):
Displaying 14 items.
- High-dimensional intrinsic interpolation using Gaussian process regression and diffusion maps (Q1719851) (← links)
- Spectral convergence of graph Laplacian and heat kernel reconstruction in \(L^\infty\) from random samples (Q1979925) (← links)
- Bayesian regression and classification using Gaussian process priors indexed by probability density functions (Q2056368) (← links)
- Gaussian process regression constrained by boundary value problems (Q2060077) (← links)
- Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression (Q2157494) (← links)
- Extrinsic Gaussian processes for regression and classification on manifolds (Q2316989) (← links)
- A Riemann-Stein kernel method (Q2676917) (← links)
- A Functional Data Analysis Approach to the Estimation of Densities over Complex Regions (Q3300629) (← links)
- Kriging Riemannian Data via Random Domain Decompositions (Q5066456) (← links)
- Sequential Construction and Dimension Reduction of Gaussian Processes Under Inequality Constraints (Q5089721) (← links)
- Efficient models for correlated data via convolutions of intrinsic processes (Q5694496) (← links)
- Gaussian Process Subspace Prediction for Model Reduction (Q5864693) (← links)
- Shape-based functional data analysis (Q6557172) (← links)
- Analyzing data in complicated 3D domains: smoothing, semiparametric regression, and functional principal component analysis (Q6589300) (← links)
