Research output per year
Research output per year
- 43 results
Search results
-
2025
Automatic locally stationary time series forecasting with application to predicting UK gross value added time series
Killick, R., Knight, M. I., Nason, G. P., Nunes, M. & Eckley, I. A., 31 Jan 2025, In: Journal of the Royal Statistical Society: Series C - Applied Statistics. 74, 1, p. 18-33 qlae043.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
How well can we measure chronic pain impact in existing longitudinal cohort studies? Lessons learned
Vitali, D., Williams, A. C. D. C., McBeth, J. & Nunes, M., 31 Jan 2025, In: Journal of Pain. 26, 104679.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
2024
Adaptive wavelet domain principal component analysis for nonstationary time series
Knight, M. I., Nunes, M. A. & Hargreaves, J. K., 31 Mar 2024, In: Journal of Computational and Graphical Statistics. 33, 3, p. 941-954 14 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (SciVal)14 Downloads (Pure) -
TrendLSW: Trend and Spectral Estimation of Nonstationary Time Series in R
McGonigle, E., Killick, R. & Nunes, M., 1 Nov 2024, (Acceptance date) In: Journal of Statistical Software.Research output: Contribution to journal › Article › peer-review
Open Access -
2023
Long-term effects of ocean temperature rise on the deep sea
Audone, G., Blondel, P., Nunes, M., Budd, C., Harris, P. & Steve, R., 23 Jun 2023. 6 p.Research output: Contribution to conference › Paper › peer-review
Open Access -
Long-term effects of ocean temperature rise on the deep sea, measured at ocean observatories
Audone, G., Blondel, P., Nunes, M. A., Obe, C. B., Harris, P. & Robinson, S., 30 Jun 2023, Proceedings of 7th Underwater Acoustics Conference and Exhibition, UACE 2023. Taroudakis, M. (ed.). I.A.C.M, Foundation for Research and Technology - Hellas, p. 41-46 6 p. (Underwater Acoustic Conference and Exhibition Series).Research output: Chapter or section in a book/report/conference proceeding › Book chapter
Open Access -
Sequential estimation of temporally evolving latent space network models
Turnbull, K., Nemeth, C., Nunes, M. & Mccormick, T., 31 Mar 2023, In: Computational Statistics & Data Analysis. 179, 107627.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
2022
Acoustic long-range monitoring of tropical cyclones at low frequencies
Audone, G., Blondel, P., Nunes, M., Budd, C., Harris, P. & Robinson, S., 19 Jun 2022, p. 39.Research output: Contribution to conference › Abstract › peer-review
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Modelling Time-Varying First and Second-Order Structure of Time Series via Wavelets and Differencing
McGonigle, E. T., Killick, R. & Nunes, M. A., 31 Dec 2022, In: Electronic Journal of Statistics. 16, 2, p. 4398-4448 51 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (SciVal) -
Trend Locally Stationary Wavelet Processes
McGonigle, E. T., Killick, R. & Nunes, M. A., 30 Nov 2022, In: Journal of Time Series Analysis. 43, 6, p. 895-917 23 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (SciVal) -
2021
A wavelet-based approach for imputation in nonstationary multivariate time series
Wilson, R., Eckley, I. A., Nunes, M. & Park, T., 17 Feb 2021, In: Statistics and Computing. 31, 2, 18.Research output: Contribution to journal › Article › peer-review
Open Access15 Citations (SciVal) -
Detecting changes in mean in the presence of time-varying autocovariance
McGonigle, E., Killick, R. & Nunes, M., 31 Dec 2021, In: Stat. 10, 1, e351.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (SciVal) -
2020
Book Review: Time Series: A Data Analysis Approach Using R
Nunes, M., 1 May 2020, In: Journal of Time Series Analysis. 41, 3, p. 485-486Research output: Contribution to journal › Book/Film/Article review
Open AccessFile360 Downloads (Pure) -
Generalized Network Autoregressive Processes and the GNAR package
Knight, M., Leeming, K., Nason, G. & Nunes, M., 31 Dec 2020, In: Journal of Statistical Software. 96, 5, p. 1-36 36 p.Research output: Contribution to journal › Article › peer-review
Open Access22 Citations (SciVal) -
Interpretable brain age prediction using linear latent variable models of functional connectivity
Monti, R. P., Gibberd, A., Roy, S., Nunes, M., Lorenz, R., Leech, R., Ogawa, T., Kawanabe, M. & Hyvarinen, A., 10 Jun 2020, In: PLoS ONE. 15, 6, p. e0232296 e0232296.Research output: Contribution to journal › Article › peer-review
Open AccessFile16 Citations (SciVal)69 Downloads (Pure) -
Semi-automated simultaneous predictor selection for Regression-SARIMA models
Lowther, A., Fearnhead, P., Nunes, M. & Jensen, K., 30 Nov 2020, In: Statistics and Computing. 30, p. 1759-1778Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (SciVal) -
2019
Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series
Wilson, R., Eckley, I. A., Nunes, M. & Park, T., 15 May 2019, In: Data Mining and Knowledge Discovery. 33, 3, p. 748-772 25 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (SciVal) -
Long memory estimation for complex-valued time series
Knight, M. I. & Nunes, M. A., 31 May 2019, In: Statistics and Computing. 29, 3, p. 517-536 20 p.Research output: Contribution to journal › Article › peer-review
Open Access8 Citations (SciVal) -
2018
CliftLRD: Complex-Valued Wavelet Lifting Estimators of the Hurst Exponent for Irregularly Sampled Time Series
Nunes, M. & Knight, M. I., 31 Dec 2018Research output: Non-textual form › Software
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Complex-Valued Wavelet Lifting and Applications
Hamilton, J., Nunes, M. A., Knight, M. I. & Fryzlewicz, P., 2 Jan 2018, In: Technometrics. 60, 1, p. 48-60 13 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (SciVal) -
GNAR: Methods for Fitting Network Time Series Models
Leeming, K., Nason, G. P., Nunes, M. & Knight, M. I., 31 Dec 2018Research output: Non-textual form › Software
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2017
A wavelet lifting approach to long-memory estimation
Knight, M. I., Nason, G. P. & Nunes, M. A., 30 Nov 2017, In: Statistics and Computing. 27, 6, p. 1453-1471 19 p.Research output: Contribution to journal › Article › peer-review
Open Access18 Citations (SciVal) -
CNLTreg: Complex-Valued Wavelet Lifting for Signal Denoising
Nunes, M., Knight, M. I., Hamilton, J. & Fryzlewicz, P., 31 Dec 2017Research output: Non-textual form › Software
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CNLTtsa: Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis
Hamilton, J., Nunes, M., Knight, M. I. & Fryzlewicz, P., 31 Dec 2017Research output: Non-textual form › Software
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Discussion as part of "Should we sample more frequently?: decision support via multirate spectrum estimation" by G. P. Nason, B. Powell, D. Elliott and P. A. Smith
Knight, M. & Nunes, M. A., 1 Feb 2017, In: Journal of the Royal Statistical Society: Series A (Statistics in Society). 180, 2, p. 388-389 2 p.Research output: Contribution to journal › Article
Open AccessFile15 Citations (SciVal)86 Downloads (Pure) -
Multivariate locally stationary 2D wavelet processes with application to colour texture analysis
Taylor, S. L., Eckley, I. A. & Nunes, M. A., 31 Jul 2017, In: Statistics and Computing. 27, 4, p. 1129-1143 15 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (SciVal) -
2016
liftLRD: Wavelet Lifting Estimators of the Hurst Exponent for Regularly and Irregularly Sampled Time Series
Knight, M. I., Nunes, M. & Nason, G. P., 31 Dec 2016Research output: Non-textual form › Software
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2015
abctools: An R Package for Tuning Approximate Bayesian Computation Analyses
Nunes, M. A. & Prangle, D., 29 Jul 2015, In: The R Journal. 7, 2, p. 189-205 17 p.Research output: Contribution to journal › Article › peer-review
Open Access40 Citations (SciVal) -
Modelling and prediction of time series arising on a graph
Nunes, M., Knight, M. & Nason, G. P., 1 Jun 2015, Modeling and Stochastic Learning for Forecasting in High Dimensions. Antoniadis, A., Poggi, J.-M. & Brossat, X. (eds.). Cham, Switzerland: Springer International Publishing, p. 183-192 10 p. (Lecture Notes in Statistics; vol. 217).Research output: Chapter or section in a book/report/conference proceeding › Book chapter
1 Citation (SciVal) -
Statistical Analysis of Network Data with R
Nunes, M., 6 Aug 2015, In: Journal of Statistical Software. 66, Book review 1.Research output: Contribution to journal › Book/Film/Article review
Open Access -
2014
A Multiscale Test of Spatial Stationarity for Textured Images in R
Nunes, M. A., Taylor, S. L. & Eckley, I. A., 16 Jun 2014, In: The R Journal. 6, 1, p. 20-30 11 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Citations (SciVal) -
A Test of Stationarity for Textured Images
Taylor, S. L., Eckley, I. A. & Nunes, M. A., 3 Jul 2014, In: Technometrics. 56, 3, p. 291-301 11 p.Research output: Contribution to journal › Article › peer-review
14 Citations (SciVal) -
LS2Wstat: A Multiscale Test of Spatial Stationarity for LS2W Processes
Taylor, S., Nunes, M. & Eckley, I. A., 2014Research output: Non-textual form › Software
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2013
abctools: Tools for ABC Analyses
Nunes, M., Prangle, D. & Rodrigues, G., 31 Dec 2013Research output: Non-textual form › Software
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A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation
Blum, M. G. B., Nunes, M. A., Prangle, D. & Sisson, S. A., 1 May 2013, In: Statistical Science. 28, 2, p. 189-208 20 p.Research output: Contribution to journal › Article › peer-review
250 Citations (SciVal) -
2012
Spectral estimation for locally stationary time series with missing observations
Knight, M. I., Nunes, M. A. & Nason, G. P., 1 Jul 2012, In: Statistics and Computing. 22, 4, p. 877-895 19 p.Research output: Contribution to journal › Article › peer-review
26 Citations (SciVal) -
2010
On Optimal Selection of Summary Statistics for Approximate Bayesian Computation
Nunes, M. A. & Balding, D. J., 6 Jan 2010, In: Statistical Applications in Genetics and Molecular Biology. 9, 1Research output: Contribution to journal › Article › peer-review
111 Citations (SciVal) -
2009
A multiscale variance stabilization for binomial sequence proportion estimation
Nunes, M. A. & Nason, G. P., 1 Oct 2009, In: Statistica Sinica. 19, 4, p. 1491-1510 20 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
binhf: Haar-Fisz Functions for Binomial Data
Nunes, M., 2009Research output: Non-textual form › Software
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2008
An adaptive lifting algorithm and applications
Knight, M. & Nunes, M., 31 Dec 2008, Proceedings of the 56th Session of the ISI. Gomes, M. I., Pinto Martins, J. A. & Silva, J. A. (eds.). Instituto Nacional de Estatıstica, p. 166-173 8 p. (Bulletin of the International Statistical Institute).Research output: Chapter or section in a book/report/conference proceeding › Book chapter
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nlt: A Nondecimated Lifting Transform for Signal Denoising
Knight, M. I. & Nunes, M., 31 Dec 2008Research output: Non-textual form › Software
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2006
Adaptive lifting for nonparametric regression
Nunes, M. A., Knight, M. I. & Nason, G. P., 1 Jun 2006, In: Statistics and Computing. 16, 2, p. 143-159 17 p.Research output: Contribution to journal › Article › peer-review
22 Citations (SciVal) -
2005
adlift: An Adaptive Lifting Scheme Algorithm
Nunes, M. & Knight, M. I., 2005Research output: Non-textual form › Software