Datasets
- 10 results
Search results
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Local Gaussian Process Approximation for Large Computer Experiments
Gramacy, R. B. (Creator) & Apley, D. W. (Creator), figshare, 2015
DOI: 10.6084/m9.figshare.1148919.v3, https://figshare.com/articles/Local_Gaussian_Process_Approximation_for_Large_Computer_Experiments/1148919/3 and one more link, https://figshare.com/articles/Local_Gaussian_Process_Approximation_for_Large_Computer_Experiments/1148919 (show fewer)
Dataset
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A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors
Zhang, Y. (Creator), Tao, S. (Creator), Chen, W. (Creator) & Apley, D. W. (Contributor), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.8398376.v1, https://tandf.figshare.com/articles/online_resource/A_Latent_Variable_Approach_to_Gaussian_Process_Modeling_with_Qualitative_and_Quantitative_Factors/8398376/1
Dataset
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A preposterior analysis to predict identifiability in the experimental calibration of computer models
Arendt, P. D. (Creator), Apley, D. W. (Creator) & Chen, W. (Creator), figshare, 2015
DOI: 10.6084/m9.figshare.1496544.v3, https://figshare.com/articles/A_preposterior_analysis_to_predict_identifiability_in_the_experimental_calibration_of_computer_models/1496544/3 and one more link, https://figshare.com/articles/A_preposterior_analysis_to_predict_identifiability_in_the_experimental_calibration_of_computer_models/1496544 (show fewer)
Dataset
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Textile Images 2
Bui, A. T. (Creator) & Apley, D. W. (Contributor), Mendeley Data, Sep 11 2017
DOI: 10.17632/wy3pndgpcx.1, https://data.mendeley.com/datasets/wy3pndgpcx
Dataset
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Density Deconvolution with Additive Measurement Errors using Quadratic Programming (revision)
Yang, R. (Creator), Apley, D. W. (Creator), Staum, J. (Creator) & Ruppert, D. (Creator), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.11396871.v1, https://tandf.figshare.com/articles/Density_Deconvolution_with_Additive_Measurement_Errors_using_Quadratic_Programming_revision_/11396871/1
Dataset
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Diversity Subsampling: Custom Subsamples from Large Data Sets
Apley, D. (Creator) & Mehrotra, S. (Creator), Code Ocean, 2023
DOI: 10.24433/co.8309237.v2, https://codeocean.com/capsule/5352375/tree/v2
Dataset
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Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data
Bui, A. T. (Creator) & Apley, D. W. (Creator), Taylor & Francis, 2021
DOI: 10.6084/m9.figshare.13708310, https://tandf.figshare.com/articles/dataset/Analyzing_Nonparametric_Part-to-part_Variation_in_Surface_Point_Cloud_Data/13708310
Dataset
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Density Deconvolution With Additive Measurement Errors Using Quadratic Programming
Yang, R. (Creator), Apley, D. W. (Creator), Staum, J. (Creator) & Ruppert, D. (Creator), Taylor & Francis, 2021
DOI: 10.6084/m9.figshare.11396871.v3, https://tandf.figshare.com/articles/dataset/Density_Deconvolution_with_Additive_Measurement_Errors_using_Quadratic_Programming_revision_/11396871/3
Dataset
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Brownian Integrated Covariance Functions for Gaussian Process Modeling: Sigmoidal Versus Localized Basis Functions
Zhang, N. (Creator) & Apley, D. W. (Creator), Taylor & Francis, 2015
DOI: 10.6084/m9.figshare.1569840.v2, https://tandf.figshare.com/articles/dataset/Brownian_Integrated_Covariance_Functions_for_Gaussian_Process_Modeling_Sigmoidal_Versus_Localized_Basis_Functions/1569840/2 and 2 more links, https://tandf.figshare.com/articles/dataset/Brownian_Integrated_Covariance_Functions_for_Gaussian_Process_Modeling_Sigmoidal_Versus_Localized_Basis_Functions/1569840/1, https://tandf.figshare.com/articles/dataset/Brownian_Integrated_Covariance_Functions_for_Gaussian_Process_Modeling_Sigmoidal_Versus_Localized_Basis_Functions/1569840 (show fewer)
Dataset
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A Preposterior Analysis to Predict Identifiability in Experimental Calibration of Computer Models
Arendt, P. D. (Creator), Apley, D. W. (Creator) & Chen, W. (Creator), figshare, 2015
DOI: 10.6084/m9.figshare.1496544.v1, https://figshare.com/articles/A_Preposterior_Analysis_to_Predict_Identifiability_in_Experimental_Calibration_of_Computer_Models/1496544/1
Dataset