Calibration for computer experiments with binary responses and application to cell adhesion study
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Publication:149466
DOI10.48550/arXiv.1806.01453zbMath1452.62592arXiv1806.01453OpenAlexW2993623579WikidataQ126627943 ScholiaQ126627943MaRDI QIDQ149466
Chih-Li Sung, Ying Hung, C. F. Jeff Wu, William Rittase, Cheng Zhu, Ying Hung, Cheng Zhu, Chih-Li Sung, C. F. Jeff Wu, William Rittase
Publication date: 5 June 2018
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1806.01453
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Robust parameter designs (62K25)
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- A generalized Gaussian process model for computer experiments with binary time series
- Efficient calibration for imperfect computer models
- Calibrating a large computer experiment simulating radiative shock hydrodynamics
- Gaussian processes and limiting linear models
- Penalized quasi-likelihood estimation in partial linear models
- The design and analysis of computer experiments
- Weak convergence and empirical processes. With applications to statistics
- Introduction to empirical processes and semiparametric inference
- Bayesian Calibration of Computer Models
- Binary Time Series Modeling With Application to Adhesion Frequency Experiments
- An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations
- Computer Model Calibration Using High-Dimensional Output
- Asymptotic Statistics
- Orthogonal Array-Based Latin Hypercubes
- Combining Field Data and Computer Simulations for Calibration and Prediction
- A Limited Memory Algorithm for Bound Constrained Optimization
- Adjustments to Computer Models via Projected Kernel Calibration
- A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties
