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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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Group by: Publication Date | Item type | No Grouping
Jump to: 2023 | 2021 | 2020 | 2014
Number of items: 6.

2023

Hauzenberger, Niko and Huber, Florian and Koop, Gary (2023) Dynamic shrinkage priors for large time-varying parameter regressions using scalable Markov Chain Monte Carlo methods. Studies in Nonlinear Dynamics and Econometrics, 28 (2). pp. 201-225. ISSN 1558-3708

Pan, Jiazhu and He, Yali (2023) Tail behaviours of multiple-regime threshold AR models with heavy-tailed innovations. Studies in Nonlinear Dynamics and Econometrics, 27 (3). pp. 377-395. ISSN 1558-3708

Liu, Jinshan and Pan, Jiazhu and Xia, Qiang and Xiao, Li (2023) On determination of the number of factors in an approximate factor model. Studies in Nonlinear Dynamics and Econometrics, 27 (3). pp. 285-298. ISSN 1558-3708

2021

Hauzenberger, Niko and Huber, Florian and Pfarrhofer, Michael and Zörner, Thomas O. (2021) Stochastic model specification in Markov switching vector error correction models. Studies in Nonlinear Dynamics and Econometrics, 25 (2). 20180069. ISSN 1558-3708

2020

Chan, Joshua C.C. and Eisenstat, Eric and Koop, Gary (2020) Choosing between identification schemes in noisy-news models. Studies in Nonlinear Dynamics and Econometrics, 26 (1). pp. 99-136. ISSN 1558-3708

2014

Jochmann, Markus and Koop, Gary (2014) Regime-switching cointegration. Studies in Nonlinear Dynamics and Econometrics, 19 (1). 35–48. ISSN 1558-3708

This list was generated on Tue Oct 15 10:26:39 2024 BST.