Variational Bayes for generalized autoregressive models

Cited by (156)

Items 101–156 of 156

1. The variational Bayes approach in signal processing
   Václav Šmídl · 2004 · Arrow@dit (Dublin Institute of Technology)
2. Survival of Phenotypic Information during Cellular Growth Transitions
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3. Multiscale Bayesian state-space model for Granger causality analysis of brain signal
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4. Online Variational Message Passing in Hierarchical Autoregressive Models
   Albert Podusenko, Wouter M. Kouw, Bert de Vries · 2020 · IEEE International Symposium on Information Theory (ISIT)
5. Investigation on how dynamic effective connectivity patterns encode the fluctuating pain intensity in chronic migraine
   Iege Bassez, Frederik Van de Steen, Sophie Hackl, Pauline Jahn, Astrid Mayr, Daniele Marinazzo, Enrico Schulz · 2022 · Neurobiology of Pain
6. Co-kriging based multi-fidelity uncertainty quantification of beam vibration using coarse and fine finite element meshes
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7. An Improved Spectrum Sensing Method for DTMB System Based on PN Autocorrelation
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8. A Variational Bayesian State-Space Approach to Online Passive-Aggressive Regression
   Arnold Salas, Stephen Roberts, Michael A. Osborne · 2015 · arXiv (Cornell University)
9. Reassessing socioeconomic inequalities in mortality via distributional similarities
   Ana Cristina Gómez-Ugarte, Ugofilippo Basellini, Carlo Giovanni Camarda, Fanny Janssen, Emilio Zagheni · 2025 · Population Health Metrics
10. Visual Workflow Recognition Using a Variational Bayesian Treatment of Multistream Fused Hidden Markov Models
    Sotirios Chatzis, Dimitrios Kosmopoulos · 2012 · IEEE Transactions on Circuits and Systems for Video Technology
11. An Anthology of Probabilistic Models for Medical Informatics
    Richard Dybowski, Stephen Roberts · 2005 · Springer eBooks
12. Temporally correlated source separation based on variational Kalman smoother
    Qinghua Huang, Jie Yang, Yunfeng Xue, Yue Zhou · 2007 · Digital Signal Processing
13. Recursive Variational Bayesian Inference to Simultaneous Registration and Fusion
    Hao Zhu, Jinsong Hu, Henry Leung, Bin Zhang · 2016 · International Journal of Advanced Robotic Systems
14. A Novel Algorithm for Moving Objects Recognition Based on Sparse Bayesian Classification
    Changhua Lu, Chang Ningning, Fang Rui, Chun Liu · 2006 · Machine learning for signal processing ...
15. Automatic classification of digital communication signal modulations
    Zhechen Zhu · 2014 · Brunel University Research Archive (BURA) (Brunel University London)
16. Improving Accuracy of Evolving GMM Under GPGPU-Friendly Block-Evolutionary Pattern
    Chunlei Chen, Chengduan Wang, Jinkui Hou, Ming Jie Qi, Jiangyan Dai, Yonghui Zhang, Peng Zhang · 2019 · International Journal of Pattern Recognition and Artificial Intelligence
17. A Bayesian robust identification method for piecewise affine autoregressive exogenous model from outlier-contaminated data
    Akio Nakabayashi, Shouta Ukai, Hidehiko Wada, Tetsuya Ohtani · 2013 · Society of Instrument and Control Engineers of Japan
18. Variational Bayesian learning for speech modeling and enhancement
    Qinghua Huang, Jie Yang, Shoushui Wei · 2007 · Signal Processing
19. New approaches for the real-time detection of binary pulsars with the Square Kilometre Array (SKA)
    E. van Heerden, A. Karastergiou, Stephen Roberts, Oleg Mikhailovich Smirnov · 2014 · URSI General Assembly and Scientific Symposium
20. Variational learning of autoregressive Mixtures of Experts for fully Bayesian hybrid system identification
    Nisar R. Ahmed, Mark Campbell · 2011 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
21. Statistical Analysis of EEG Phase Shift Events
    William Marshall · 2014 · UWSpace (University of Waterloo)
22. Approche variationnelle pour le calcul bayésien dans les problèmes inverses en imagerie
    Ali Mohammad-djafari A · 2009 · arXiv (Cornell University)
23. Blind Source Separation Based on Variational Bayesian Independent Component Analysis
    Chunli Wang, Yan Xu, Minan Tang, Lei Wang · 2018 · IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
24. Text-Independent Speaker Verification Using Variational Gaussian Mixture Model
    Mohammad Hossein Moattar · 2011 · ETRI Journal
25. Variational Bayes Inference for Generalized Associative Functional Networks
    Hanbing Qu, Bao-Gang Hu · 2007 · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks
26. Variational methods for spectral unmixing of hyperspectral images
    Olivier Eches, Nicolas Dobigeon, Jean‐Yves Tourneret, Hichem Snoussi · 2011 · IEEE International Conference on Acoustics Speech and Signal Processing
27. Bayesian Mixture of AR Models for Time Series Clustering
    K. Venkataramana, Chigurupalli Chandra Sekhar · 2009 · International Conference on Advances in Pattern Recognition
28. Information Fusion
    Jiuping Xu, Lei Xu · 2017 · Elsevier eBooks
29. Variational Bayesian Learning for the Modelling of Indoor Broadband Powerline Communication Impulsive Noise
    Florence Chelangat, Thomas J. O. Afullo · 2023 · Progress In Electromagnetics Research B
30. Response‐Based Prediction of Tidal Currents
    Thomas Monahan, Tianning Tang, Stephen Roberts, Thomas A. A. Adcock · 2025 · Journal of Geophysical Research Oceans
31. Censoring in distributed radar tracking systems with various feedback models
    Armond S. Conte, Ruixin Niu · 2015
32. Integrated System Health Management for Environmental Control and Life Support System in Manned-Spacecraft
    Fan Li, Yusheng Wang · 2014 · Advances in intelligent systems and computing
33. Sparse Auto-Regressive: Robust Estimation of AR Parameters
    Mohsen Joneidi · 2013 · arXiv (Cornell University)
34. Iterative Estimation Algorithms Using Conjugate Function Lower Bound and Minorization-Maximization with Applications in Image Denoising
    Guang Deng, Wai-Yin Ng · 2008 · EURASIP Journal on Advances in Signal Processing
35. FedProf: Efficient Federated Learning with Data Representation Profiling
    Wentai Wu, Ligang He, Weiwei Lin, Rui Mao · 2021 · arXiv (Cornell University)
36. TEAK: A novel computational and GUI software pipeline for reconstructing biological networks, detecting activated biological subnetworks, and querying biological networks.
    Thair Judeh · 2014 · Human Biology
37. Likelihood‐based Classifiers
    Zhechen Zhu, Asoke Kumar Nandi · 2014 · Wiley eBooks
38. Discrete Time Markov Chains and Extensions
    David Rı́os Insua, Fabrizio Ruggeri, Michael Peter Wiper · 2012 · Wiley series in probability and statistics
39. Variational Gaussian mixtures for blind source detection
    Nikolaos Nasios, Adrian G. Borş · 2004 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
40. Spatio-temporal models for EEG
    W.D. Penny, Nelson J. Trujillo‐Barreto, E. Aubert · 2007 · Elsevier eBooks
41. Segmentation of colour images using variational expectation-maximization algorithm
    Nikolaos Nasios, Adrian G. Borş · 2004 · British Machine Vision Conference (BMVC)
42. Compensating for noise and mismatch in speaker verification systems using approximate Bayesian inference
    Ciira wa Maina, John MacLaren Walsh · 2011 · Conference on Information Sciences and Systems
43. Blind and complete modeling of linear systems using third order cumulants
    Jian Fu, Hong‐Zhou Tan, Yihua Huang · 2007 · Journal of Electronics (China)
44. Bayesian model evidence for order selection and correlation testing
    Leigh A. Johnston, Iven Mareels, Gary F. Egan · 2011 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
45. High-Dimensional Non-Gaussian Data Clustering using Variational Learning of Mixture Models
    Wentao Fan · 2013 · Spectrum Research Repository (Concordia University)
46. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks
    Yujiao Zheng · 2014 · Syracuse University Libraries (Syracuse University)
47. AR-Based Bayesian Speech Enhancement for Nonstationary Environments
    Qinghua Huang, Kai Liu · 2009 · International Joint Conference on Computational Sciences and Optimization (CSO)
48. Log spectra enhancement using speaker dependent priors for speaker verification
    Ciira wa Maina, John MacLaren Walsh · 2011 · IEEE International Conference on Acoustics Speech and Signal Processing
49. VA RI AT I 0 N A L EX P ECTAT I 0 N- M AX1 M I Z AT1 0 N TRAINING FOR GAUSSIAN NETWORKS
    Nikolaos Nasios, Adrian G. Borş · 2003
50. Censoring and Fusion in Non-linear Distributed Tracking Systems with Application to 2D Radar
    Armond S. Conte · 2015 · VCU Scholars Compass (Virginia Commonwealth University)
51. Probabilistic modeling and estimation with human inputs in semi-autonomous systems
    Nisar R. Ahmed · 2012 · eCommons (Cornell University)
52. Improving the accuracy of dynamic mass calculation
    О. Ф. Дащенко, L. V. Kolomіеts, Oleksandr Lymarenko · 2015 · Odes’kyi Politechnichnyi Universytet Pratsi
53. EXTENDED EXPECTATION MAXIMIZATION FOR UNDER-FITTED MODELS
    Aref Miri Rekavandi, Abd‐Krim Seghouane, Farid Boussaïd, Mohammed Bennamoun · 2022
54. EXTENDED EXPECTATION MAXIMIZATION FOR UNDER-FITTED MODELS
    Aref Miri Rekavandi, Abd‐Krim Seghouane, Farid Boussaïd, Mohammed Bennamoun · 2022
55. Reassessing socioeconomic inequalities in mortality via distributional similarities
    Ana Cristina Gómez-Ugarte, Ugofilippo Basellini, Carlo Giovanni Camarda, Fanny Janssen, Emilio Zagheni · 2024
56. Algorithmes de restauration bayésienne mono- et multi-objets dans des modèles markoviens
    Yohan Petetin · 2013