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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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Number of items: 19.


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 (2024) Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregates. International Journal of Forecasting, 40 (2). pp. 626-640. ISSN 0169-2070

Martin, Gael M. and Frazier, David T. and Maneesoonthorn, Worapree and Loaiza-Maya, Rubén and Huber, Florian and Koop, Gary and Maheu, John and Nibbering, Didier and Panagiotelis, Anastasios (2024) Bayesian forecasting in economics and finance : a modern review. International Journal of Forecasting, 40 (2). pp. 811-839. ISSN 0169-2070


Čapek, Jan and Crespo Cuaresma, Jesús and Hauzenberger, Niko and Reichel, Vlastimil (2023) Macroeconomic forecasting in the euro area using predictive combinations of DSGE models. International Journal of Forecasting, 39 (4). pp. 1820-1838. ISSN 0169-2070

Hauzenberger, Niko and Huber, Florian and Klieber, Karin (2023) Real-time inflation forecasting using non-linear dimension reduction techniques. International Journal of Forecasting, 39 (2). pp. 901-921. ISSN 0169-2070

Gefang, Deborah and Koop, Gary and Poon, Aubrey (2023) Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage. International Journal of Forecasting, 39 (1). pp. 346-363. ISSN 0169-2070


Gilbert, Ciaran and Browell, Jethro and McMillan, David (2021) Probabilistic access forecasting for improved offshore operations. International Journal of Forecasting, 37 (1). pp. 134-150. ISSN 0169-2070


Cross, Jamie L. and Hou, Chenghan and Poon, Aubrey (2020) Macroeconomic forecasting with large Bayesian VARs : global-local priors and the illusion of sparsity. International Journal of Forecasting, 36 (3). pp. 899-915. ISSN 0169-2070

Tallman, Ellis W. and Zaman, Saeed (2020) Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy. International Journal of Forecasting, 36 (2). pp. 373-398. ISSN 0169-2070


Wicke, Lars and Dhami, Mandeep K. and Önkal, Dilek and Belton, Ian K. (2019) Using scenarios to forecast outcomes of a refugee crisis. International Journal of Forecasting. ISSN 0169-2070

Marshall, Alasdair and Ojiako, Udechukwu and Wang, Victoria and Lin, Fenfang and Chipulu, Maxwell (2019) Forecasting unknown-unknowns by boosting the risk radar within the risk intelligent organisation. International Journal of Forecasting, 35 (2). pp. 644-658. ISSN 0169-2070


Bolger, Fergus and Wright, George (2017) Use of expert knowledge to anticipate the future : issues, analysis and directions. International Journal of Forecasting, 33 (1). pp. 230-243. ISSN 0169-2070

Derbyshire, James and Wright, George (2017) Augmenting the Intuitive Logics scenario planning method for a more comprehensive analysis of causation. International Journal of Forecasting, 33 (1). pp. 254-266. ISSN 0169-2070


Koop, Gary (2014) Forecasting with dimension switching VARs. International Journal of Forecasting, 30 (2). pp. 280-290. ISSN 0169-2070


Wright, George and Rowe, G (2011) Group-based judgmental forecasting : an integration of extent knowledge and the development of priorities for a new research agenda. International Journal of Forecasting, 27 (1). pp. 1-13. ISSN 0169-2070


Mckenzie, Edward and Gardner Jr, Everette S. (2010) Damped trend exponential smoothing : A modelling viewpoint. International Journal of Forecasting, 26 (4). pp. 661-665. ISSN 0169-2070

Jochmann, Markus and Koop, Gary and Strachan, Rodney W. (2010) Bayesian forecasting using stochastic search variable selection in a VAR subject to breaks. International Journal of Forecasting, 26 (2). pp. 326-347. ISSN 0169-2070

Evanschitzky, H. and Armstrong, J. (2010) Replications of forecasting research. International Journal of Forecasting, 26 (1). pp. 4-8. ISSN 0169-2070


Wright, George and Goodwin, P (2009) Decision making and planning under low levels of predictability : enhancing the scenario method. International Journal of Forecasting, 25 (4). pp. 813-825. ISSN 0169-2070

This list was generated on Sat Jul 13 20:21:52 2024 BST.