Pages that link to "Item:Q4682941"
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The following pages link to A Gaussian Process Regression Model for Distribution Inputs (Q4682941):
Displaying 19 items.
- Multi-fidelity Gaussian process regression for prediction of random fields (Q1685592) (← links)
- Bayesian regression and classification using Gaussian process priors indexed by probability density functions (Q2056368) (← links)
- Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes (Q2180085) (← links)
- Gaussian processes with multidimensional distribution inputs via optimal transport and Hilbertian embedding (Q2192319) (← links)
- Gaussian field on the symmetric group: prediction and learning (Q2293716) (← links)
- A Partially Linear Model Using a Gaussian Process Prior (Q2943791) (← links)
- (Q4027711) (← links)
- (Q4258157) (← links)
- Multivariate Gaussian Random Fields over Generalized Product Spaces involving the Hypertorus (Q5047938) (← links)
- Distribution regression model with a Reproducing Kernel Hilbert Space approach (Q5078501) (← links)
- Wasserstein Regression (Q6109970) (← links)
- On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty (Q6113067) (← links)
- A scalable Matérn Gaussian process for learning spatial curves distributions (Q6125270) (← links)
- Learning system parameters from Turing patterns (Q6134365) (← links)
- Multivariate random fields evolving temporally over hyperbolic spaces (Q6556233) (← links)
- Bayesian cluster analysis for registration and clustering homogeneous subgroups in multidimensional functional data (Q6587723) (← links)
- Central limit theorems for general transportation costs (Q6596218) (← links)
- Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs (Q6631147) (← links)
- Covariance parameter estimation of Gaussian processes with approximated functional inputs (Q6656675) (← links)
