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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: 8.

Bowman, Adrian W. and Katina, Stanislav and Smith, Joanna and Brown, Denise (2015) Anatomical curve identification. Computational Statistics and Data Analysis, 86. pp. 52-64. ISSN 0167-9473

Chan, Joshua C.C. and Koop, Gary (2014) Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables. Computational Statistics and Data Analysis, 76. pp. 186-193. ISSN 0167-9473

Gefang, Deborah and Koop, Gary and Potter, Simon M. (2012) The dynamics of UK and US inflation expectations. Computational Statistics and Data Analysis, 56 (11). 3120–3133. ISSN 0167-9473

Gradowska, PL and Cooke, RM (2012) Least squares type estimation for Cox regression model and specification error. Computational Statistics and Data Analysis, 56 (7). pp. 2288-2302.

Hanea, AM and Kurowicka, Dorota and Cooke, Roger M and Ababei, DA (2010) Mining and visualising ordinal data with non-parametric continuous BBNs. Computational Statistics and Data Analysis, 54 (3). pp. 668-687.

Renshaw, E. and Mateu, J. and Saura, F. (2007) Disentangling mark/point interaction in marked-point processes. Computational Statistics and Data Analysis, 51 (6). pp. 3123-3144. ISSN 0167-9473

Ip, W. and Wong, H. and Pan, J. and Li, D.F. (2006) The asymptotic convexity of the negative likelihood function of GARCH models. Computational Statistics and Data Analysis, 50 (2). pp. 311-331. ISSN 0167-9473

Renshaw, E. and Sarkka, A. (2001) Gibbs point processes for studying the development of spatial-temporal stochastic processes. Computational Statistics and Data Analysis, 36 (1). pp. 85-105. ISSN 0167-9473

This list was generated on Wed Dec 18 19:57:48 2024 GMT.