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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2025 | 2024 | 2023
Number of items: 8.

2025

Koop, Gary and McIntyre, Stuart and Mitchell, James and Poon, Aubrey and Wu, Ping; Mazur, Stepan and Österholm, Pär, eds. (2025) Measuring subregional economic activity : missing frequencies and missing data. In: Recent Developments in Bayesian Econometrics and Their Applications. Springer, Cham, pp. 47-65. ISBN 9783032001108

Wu, Ping and Koop, Gary (2025) Fast, order-invariant Bayesian inference in VARs using the eigendecomposition of the error covariance matrix. Journal of Business and Economic Statistics. ISSN 0735-0015

2024

Wu, Ping (2024) Should I open to forecast? Implications from a multi-country unobserved components model with sparse factor stochastic volatility. International Journal of Forecasting, 40 (3). pp. 903-917. ISSN 0169-2070

Koop, Gary and McIntyre, Stuart and Mitchell, James and Poon, Aubrey and Wu, Ping (2024) Incorporating short data into large mixed-frequency vector autoregressions for regional nowcasting. Journal of the Royal Statistical Society: Series A, 187 (2). pp. 477-495. qnad130. ISSN 0964-1998

2023

Wu, Ping and Koop, Gary (2023) Estimating the ordering of variables in a VAR using a Plackett-Luce Prior. Economics Letters, 230. 111247. ISSN 0165-1765

Kabundi, Alain and Poon, Aubrey and Wu, Ping (2023) A time-varying Phillips curve with global factors : are global factors important? Economic Modelling, 126. 106423. ISSN 0264-9993

Wu, Ping and Koop, Gary (2023) Fast, Order-Invariant Bayesian Inference in VARs using the Eigendecomposition of the Error Covariance Matrix. Discussion paper. University of Strathclyde, Glasgow.

Koop, Gary and McIntyre, Stuart and Mitchell, James and Poon, Aubrey and Wu, Ping (2023) Incorporating Short Data into Large Mixed-Frequency VARs for Regional Nowcasting. Discussion paper. University of Strathclyde, Glasgow.

This list was generated on Sat Feb 7 23:35:58 2026 GMT.