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- Info
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Positions held:
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Lecturer,
School of Computing and Mathematical Sciences
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Research
Research
Research interests
- Statistical analysis of network data
- Time series in the frequency domain
- Speech signal processing
- Bootstrap methods for time series
- Spatio-temporal analysis
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Supervision and teaching
Supervision and teaching
Teaching
Teaching modules
- Bayesian Methods (BUEM080H7)
- Analysing Data (BUEM131H5)
- Statistical Analysis (EMMS016S7)
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Publications
Publications
Article
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Chandna, Swati and Olhede, S. and Wolfe, P.
(2022)
Local linear graphon estimation using covariates.
Biometrika
109
(3),
pp. 721-734.
ISSN 1464-3510.
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Bartlett, Thomas and Jia, P. and Chandna, Swati and Roy, Sa.
(2021)
Inference of tissue relative proportions of the breast epithelial cell types luminal progenitor, basal, and luminal mature.
Scientific Reports
11
(1),
pp. 23702.
ISSN 2045-2322.
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Chandna, Swati and Wang, W.
(2018)
Bootstrap averaging for model-based source separation in reverberant conditions.
IEEE/ACM Transactions on Audio, Speech and Language Processing
26
(4),
pp. 806-819.
ISSN 2329-9290.
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Chandna, Swati and Walden, A.
(2016)
A frequency domain test for propriety of complex-valued vector time series.
IEEE Transactions on Signal Processing
65
(6),
pp. 1425-1436.
ISSN 1053-587X.
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Chandna, Swati and Wang, W.
(2014)
Improving model-based convolutive blind source separation techniques via bootstrap.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2014
pp. 424-427.
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Dowell, J. and Weiss, S. and Infield, D. and Chandna, Swati
(2014)
A widely linear multichannel Wiener Filter for wind prediction.
2014 IEEE Workshop on Statistical Signal Processing (SSP)
pp. 29-32.
ISSN 2373-0803.
ISBN 9781479949755.
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Chandna, Swati and Walden, A.
(2013)
Simulation methodology for inference on physical parameters of complex vector-valued signals.
IEEE Transactions on Signal Processing
61
(21),
pp. 5260-5269.
ISSN 1053-587X.
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Chandna, Swati and Walden, A.
(2011)
Statistical properties of the estimator of the rotary coefficient.
IEEE Transactions on Signal Processing
59
(3),
pp. 1298-1303.
ISSN 1053-587X.