Bibliografías temáticas / Skewed Kalman filter

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Literatura académica sobre el tema "Skewed Kalman filter"

Autor: Grafiati
Publicado: 11 de marzo de 2023
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Skewed Kalman filter"

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Naveau, Philippe, Marc G. Genton, and Xilin Shen. "A skewed Kalman filter." Journal of Multivariate Analysis 94, no. 2 (2005): 382–400. http://dx.doi.org/10.1016/j.jmva.2004.06.002.

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Rezaie, Javad, and Jo Eidsvik. "A skewed unscented Kalman filter." International Journal of Control 89, no. 12 (2016): 2572–83. http://dx.doi.org/10.1080/00207179.2016.1171912.

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Zhou, Yuhua, Dennis McLaughlin, and Dara Entekhabi. "Assessing the Performance of the Ensemble Kalman Filter for Land Surface Data Assimilation." Monthly Weather Review 134, no. 8 (2006): 2128–42. http://dx.doi.org/10.1175/mwr3153.1.

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Abstract The ensemble Kalman filter provides an easy-to-use, flexible, and efficient option for data assimilation problems. One of its attractive features in land surface applications is its ability to provide distributional information about variables, such as soil moisture, that can be highly skewed or even bimodal. The ensemble Kalman filter relies on normality approximations that improve its efficiency but can also compromise the accuracy of its distributional estimates. The effects of these approximations can be evaluated by comparing the conditional marginal distributions and moments est
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4

Song, Lailiang, Chunxi Zhang, and Jiazhen Lu. "Self-alignment of full skewed RSINS: Observability analysis and full-observable Kalman filter." Journal of Systems Engineering and Electronics 25, no. 1 (2014): 104–14. http://dx.doi.org/10.1109/jsee.2014.00012.

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Chua, Alicia S., and Yorghos Tripodis. "A state-space approach for longitudinal outcomes: An application to neuropsychological outcomes." Statistical Methods in Medical Research 31, no. 3 (2021): 520–33. http://dx.doi.org/10.1177/09622802211055858.

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Longitudinal assessments are crucial in evaluating the disease state and trajectory in patients with neurodegenerative diseases. Neuropsychological outcomes measured over time often have a non-linear trajectory with autocorrelated residuals and a skewed distribution. We propose the adjusted local linear trend model, an extended state-space model in lieu of the commonly used linear mixed-effects model in modeling longitudinal neuropsychological outcomes. Our contributed model has the capability to utilize information from the stochasticity of the data while accounting for subject-specific traje
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6

Kim, Hyoung-Moon, Duchwan Ryu, Bani K. Mallick, and Marc G. Genton. "Mixtures of skewed Kalman filters." Journal of Multivariate Analysis 123 (January 2014): 228–51. http://dx.doi.org/10.1016/j.jmva.2013.09.002.

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Mingari, Leonardo, Antonio Costa, Giovanni Macedonio, and Arnau Folch. "Reconstructing tephra fall deposits via ensemble-based data assimilation techniques." Geoscientific Model Development 16, no. 12 (2023): 3459–78. http://dx.doi.org/10.5194/gmd-16-3459-2023.

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Abstract. In recent years, there has been a growing interest in ensemble approaches for modelling the atmospheric transport of volcanic aerosol, ash, and lapilli (tephra). The development of such techniques enables the exploration of novel methods for incorporating real observations into tephra dispersal models. However, traditional data assimilation algorithms, including ensemble Kalman filter (EnKF) methods, can yield suboptimal state estimates for positive-definite variables such as those related to volcanic aerosols and tephra deposits. This study proposes two new ensemble-based data assim
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8

Liu, Hanyu, Xiucong Sun, Jinghao Yang, Ming Xu, and Shengzhou Bai. "Skewed Unscented Kalman Filter Using Gaussian Sum." IEEE Transactions on Aerospace and Electronic Systems, 2024, 1–20. http://dx.doi.org/10.1109/taes.2024.3501237.

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Wang, Ke, Panlong Wu, Baochen Zhao, Lingqi Kong, and Shan He. "Reconstructed Variational Bayesian Kalman Filter under Heavy-tailed and Skewed Noises." IEEE Signal Processing Letters, 2024, 1–5. http://dx.doi.org/10.1109/lsp.2024.3453189.

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Liu, Yanjun, Hui Zhang, Jianmin Jia, Baiying Shi, and Wei Wang. "Understanding urban bus travel time: Statistical analysis and a deep learning prediction." International Journal of Modern Physics B, September 7, 2022. http://dx.doi.org/10.1142/s0217979223500340.

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Travel time reliability plays a key role in bus scheduling and service quality. Owing to various stochastic factors, buses often suffer from traffic congestion, delay and bunching, which leads to disturbances of travel time. Automatic vehicle location (AVL) could record the spatiotemporal information of buses, making it possible to understand the status of bus service. In this paper, we specifically analyze the statistical characteristics of travel time based on historic AVL data. Moreover, a Kalman filter-LSTM deep learning is proposed to estimate bus travel time. Numerical tests indicate tha
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Tesis sobre el tema "Skewed Kalman filter"

1

Najman, Jan. "Aplikace SLAM algoritmů pro vozidlo s čtyřmi řízenými koly." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-231076.

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This paper deals with the application of SLAM algorithms on experimental four wheel vehicle Car4. The first part shows the basic functioning of SLAM including a description of the extended Kalman filter, which is one of its main components. Then there is a brief list of software tools available to solve this problem in the environment of MATLAB and an overview of sensors used in this work. The second part presents methodology and results of the testing of individual sensors and their combinations to calculate odometry and scan the surrounding space. It also shows the process of applying SLAM a
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2

Mbebi, Alain Julio. "A Journey Into State-Space Models." Doctoral thesis, 2017. http://hdl.handle.net/11562/959712.

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Questa tesi riguarda la modellizzazione di serie storiche generate da processi latenti, utilizzando modelli "state-space". Vengono proposti nuovi modelli e metodologie per poi applicarli ad una varietà di casi tipici presenti in finanza ed economia. La tesi è suddivisa in sei capitoli. Il primo capitolo presenta le motivazioni della ricerca, i suoi obiettivi e la presentazione dei contenuti. Il secondo capitolo approfondisce il concetto di modelli "state-space", riporta e discute le procedure di filtraggio più comuni, e chiarisce alcune definizioni, proprietà e concetti matematici che verranno
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3

Saibua, Sawin. "Robust Clock Synchronization in Wireless Sensor Networks." 2010. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8311.

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Clock synchronization between any two nodes in a Wireless Sensor Network (WSNs) is generally accomplished through exchanging messages and adjusting clock offset and skew parameters of each node’s clock. To cope with unknown network message delays, the clock offset and skew estimation schemes have to be reliable and robust in order to attain long-term synchronization and save energy. A joint clock offset and skew estimation scheme is studied and developed based on the Gaussian Mixture Kalman Particle Filter (GMKPF). The proposed estimation scheme is shown to be a more flexible alternative than
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Capítulos de libros sobre el tema "Skewed Kalman filter"

1

"Time Series Analysis with a Skewed Kalman Filter." In Skew-Elliptical Distributions and Their Applications. Chapman and Hall/CRC, 2004. http://dx.doi.org/10.1201/9780203492000-15.

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Naveau, Philippe, Marc Genton, and Caspar Ammann. "Time Series Analysis with a Skewed Kalman Filter." In Skew-Elliptical Distributions and Their Applications. Chapman and Hall/CRC, 2004. http://dx.doi.org/10.1201/9780203492000.ch15.

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Actas de conferencias sobre el tema "Skewed Kalman filter"

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Choe, Yeongkwon, Jae Hyung Jung, and Chan Gook Park. "Ensemble Kalman Filter Based LiDAR Odometry for Skewed Point Clouds Using Scan Slicing." In 2022 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2022. http://dx.doi.org/10.1109/icra46639.2022.9811710.

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Alyami, Lamia, and Saptarshi Das. "Properties and Future of the Skew Kalman Filters." In 2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU). IEEE, 2023. http://dx.doi.org/10.1109/wids-psu57071.2023.00024.

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Alyami, Lamia, and Saptarshi Das. "Extended Skew Kalman Filters for COVID-19 Pandemic State Estimation." In 2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU). IEEE, 2023. http://dx.doi.org/10.1109/wids-psu57071.2023.00042.

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4

Yang, Z., J. Pan, and L. Cai. "Adaptive Clock Skew Estimation with Interactive Multi-Model Kalman Filters for Sensor Networks." In ICC 2010 - 2010 IEEE International Conference on Communications. IEEE, 2010. http://dx.doi.org/10.1109/icc.2010.5502549.

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