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Research article

First published 2026-2

Maximum correntropy smoothers based on information theoretic learning in non-Gaussian environments

Haiping Ma, Ting Liu, Yajing Zhang [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2026

A novel maximum correntropy extended Kalman filter with event-triggered mechanism for state estimation of preceding vehicles in V2V environments

Pingli Ren, Haobin Jiang, Xian Xu [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

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Research article

First published 2025-12

Vehicle lateral state estimation with square root cubature Kalman filter under maximum correntropy criterion

Shaoyi Bei, Haoran Tang, Bo Li [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

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Research article

First published 2019-7

Multiobjective Calibration of Disease Simulation Models Using Gaussian Processes

Aditya Sai, Carolina Vivas-Valencia, Thomas F. Imperiale [...]

Medical Decision Making

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Research article

First published 2025-10

Study on vehicle state and tire–road friction coefficient estimation based on maximum correntropy generalized high-degree cubature Kalman filter

Qiping Chen, Binghao Yu, Chengping Zhong [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2005-3

Mixture Nonlinear Time-Series Analysis : Modelling and Forecasting

Himadri Ghosh, G. Sunilkumar, Prajneshu

Calcutta Statistical Association Bulletin

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Research article

First published 2014-6

Flexible mixture modelling with the polynomial Gaussian cluster-weighted model

Antonio Punzo

Statistical Modelling

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Research article

First published 2026-2

An extended Kalman filter with mixture kernel maximum correntropy criterion for GPS navigation applications

Dah-Jing Jwo, Chien-Hua Lai, Amita Biswal [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2020-9

Exploring the potential of machine learning in reducing the computational time/expense and improving the reliability of engine optimization studies

Chaitanya Kavuri, Sage L Kokjohn

International Journal of Engine Research

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Research article

First published 2024-1

Study on levitation control performance assessment of maglev train based on minimum entropy

Tao Wen, Yaoyao Zhang, Zhiqiang Long

Proceedings of the Institution of Mechanical Engineers,Part F: Journal of Rail and Rapid Transit

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