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World class computing and information science research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

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Number of items: 7.

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 Sep 20 01:04:43 2017 BST.