Accesso pubblico

Wind Turbine Modeling with Data-driven Methods and Radially Uniform Designs

M Tan, Z Zhang

IEEE Transactions on Industrial Informatics, 2016

Mandati: Research Grants Council, Hong Kong

Optimal robust and tolerance design for computer experiments with mixture proportion inputs

M Han, MHY Tan

Quality and Reliability Engineering International 33 (8), 2255-2267, 2017

Mandati: Research Grants Council, Hong Kong

Disponibili pubblicamente: 22

Integrated parameter and tolerance design with computer experiments

M Han, MH Yong Tan

IIE Transactions 48 (11), 1004-1015, 2016

Mandati: National Natural Science Foundation of China, Research Grants Council, Hong Kong

Gaussian process modeling with boundary information

MHY Tan

Statistica Sinica, 621-648, 2018

Mandati: Research Grants Council, Hong Kong

Gaussian process modeling of a functional output with information from boundary and initial conditions and analytical approximations

MHY Tan

Technometrics 60 (2), 209-221, 2018

Mandati: Research Grants Council, Hong Kong

Monotonic quantile regression with Bernstein polynomials for stochastic simulation

MHY Tan

Technometrics 58 (2), 180-190, 2016

Mandati: Research Grants Council, Hong Kong

Stochastic polynomial interpolation for uncertainty quantification with computer experiments

MHY Tan

Technometrics 57 (4), 457-467, 2015

Mandati: Research Grants Council, Hong Kong

Robust Parameter Design with Computer Experiments Using Orthonormal Polynomials

MHY Tan

Technometrics, 2015

Mandati: Research Grants Council, Hong Kong

Bayesian optimization of expected quadratic loss for multiresponse computer experiments with internal noise

MHY Tan

SIAM/ASA Journal on Uncertainty Quantification 8 (3), 891-925, 2020

Mandati: Research Grants Council, Hong Kong

[PDF] github.io

A Gaussian process emulator based approach for Bayesian calibration of a functional input

Z Li, MHY Tan

Technometrics 64 (3), 299-311, 2022

Mandati: Research Grants Council, Hong Kong

Integrated parameter and tolerance optimization of a centrifugal compressor based on a complex simulator

M Han, X Liu, M Huang, MHY Tan

Journal of Quality Technology 52 (4), 404-421, 2020

Mandati: National Natural Science Foundation of China, Research Grants Council, Hong Kong

Metamodel-based optimization of stochastic computer models for engineering design under uncertain objective function

G Li, M Hwai-yong Tan, S Hui Ng

IISE Transactions 51 (5), 517-530, 2019

Mandati: Research Grants Council, Hong Kong

Sequential Bayesian Polynomial Chaos Model Selection for Estimation of Sensitivity Indices

MHY Tan

SIAM/ASA Journal on Uncertainty Quantification 3 (1), 146-168, 2015

Mandati: Research Grants Council, Hong Kong

Gaussian process modeling of finite element models with functional inputs

MHY Tan

SIAM/ASA Journal on Uncertainty Quantification 7 (4), 1133-1161, 2019

Mandati: Research Grants Council, Hong Kong

ANOVA-MOP: ANOVA decomposition for multiobjective optimization

M Tabatabaei, A Lovison, M Tan, M Hartikainen, K Miettinen

SIAM Journal on Optimization 28 (4), 3260-3289, 2018

Mandati: Academy of Finland, Research Grants Council, Hong Kong

Monotonic metamodels for deterministic computer experiments

MHY Tan

Technometrics 59 (1), 1-10, 2017

Mandati: Research Grants Council, Hong Kong

Multiple-target robust design with multiple functional outputs

F Jiang, MHY Tan, KL Tsui

IISE Transactions 53 (9), 1052-1066, 2021

Mandati: Research Grants Council, Hong Kong

Gaussian process modeling using the principle of superposition

MHY Tan, G Li

Technometrics, 2019

Mandati: Research Grants Council, Hong Kong

Nonparametric link functions with shape constraints in stochastic degradation processes: Application to emerging contaminants

L Hong, MHY Tan, ZS Ye

Journal of Quality Technology 52 (4), 370-384, 2020

Mandati: National Natural Science Foundation of China, Research Grants Council, Hong …