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Open access

Research article

First published 2021

Modified prediction partitioning algorithm for Gaussian inverse Wishart probability hypothesis density filter using measurement labeling method

Peng Li, Junda Qiu, Wenhui Wang [...]

Journal of Algorithms & Computational Technology

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Research article

First published 2014-2

A flexible observed factor model with separate dynamics for the factor volatilities and their correlation matrix

Yu-Cheng Ku, Peter Bloomfield, Sujit K. Ghosh

Statistical Modelling

Open access

Research article

First published 2021-3

Adaptive probability hypothesis density filter for multi-target tracking with unknown measurement noise statistics

Weijun Xu

Measurement and Control

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Research article

First published 2018-2

Tracking of group targets using multiple models GGIW-PHD algorithm based on best-fitting Gaussian approximation and strong tracking filter

Yun Wang, Guo-Ping Hu, Zhen-Xing Li

Proceedings of the Institution of Mechanical Engineers,Part G: Journal of Aerospace Engineering

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Research article

First published 2015-4

Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models

Yeojin Chung, Andrew Gelman, Sophia Rabe-Hesketh [...]

Journal of Educational and Behavioral Statistics

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Research article

First published 2022-5

A new robust Kalman filter with measurement loss based on mixing distribution

Chenghao Shan, Weidong Zhou, Yefeng Yang [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2009-12

The Value of Informative Priors in Bayesian Inference with Sparse Data

Peter Lenk, Bryan Orme

Journal of Marketing Research

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Research article

First published 2026-3

A robust distributed interaction multiple model filter for jump Markov systems with heavy-tailed measurement noise

Shun Tong, Weidong Zhou

Transactions of the Institute of Measurement and Control

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Research article

First published 2023-1

Adaptive invariant Kalman filtering for lie groups attitude estimation with biased and heavy-tailed process noise

Jiaolong Wang, Chengxi Zhang, Jinyu Liu [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2020-6

An Optimized Bayesian Hierarchical Two-Parameter Logistic Model for Small-Sample Item Calibration

Christoph König, Christian Spoden, Andreas Frey

Applied Psychological Measurement

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