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Open Access research that responds to the COVID-19 pandemic...

Strathprints makes available scholarly Open Access content seeking to respond to the medical, scientific, economic and social emergencies arising from the COVID-19 pandemic. Researchers from across the Faculties of Science, Engineering, Business and the Humanities, Arts & Social Sciences (HaSS) are all contributing to improved human understanding of -- or solutions to -- the issues surrounding management of the pandemic and the post-pandemic recovery.

Explore COVID-19 related Open Access research. Or explore all of Strathclyde's Open Access research...

Browse by Journal or other publication

Group by: Publication Date | Item type | No Grouping
Jump to: 2014 | 2012 | 2010 | 2007 | 2006 | 2001
Number of items: 7.

2014

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

2012

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.

2010

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.

2007

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

2006

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

2001

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 Tue May 18 19:29:31 2021 BST.