Items where department is "Centre for Analysis of Time Series"

University Structure (106206) LSE (106206) Former organisational units (1364) Centre for Analysis of Time Series (284)
Number of items: 19.
Article
  • Barrieu, Pauline, El Karoui, Nicole (2013). Monotone stability of quadratic semimartingales with applications to general quadratic BSDEs. Annals of Probability, 41(3B), 1831-1863. https://doi.org/10.1214/12-AOP743
  • Barrieu, Pauline, Louberge, Henri (2013). Reinsurance and securitisation of life insurance risk: the impact of regulatory constraints. Insurance: Mathematics and Economics, 52(2), 135-144.
  • Beven, Keith (2013). So how much of your error is epistemic? Lessons from Japan and Italy. Hydrological Processes, 27(11), 1677-1680. https://doi.org/10.1002/hyp.9648
  • Capparelli, V., Franzke, C., Vecchio, A., Freeman, M. P., Watkins, Nicholas W., Carbone, V. (2013). A spatiotemporal analysis of US station temperature trends over the last century. Journal of Geophysical Research: Atmospheres, 118(14), 7427-7434. https://doi.org/10.1002/jgrd.50551
  • Frigg, Roman (2013). Clever fetishists. Art History, 36(3), 665-669. https://doi.org/10.1111/1467-8365.12024
  • Frigg, Roman, Smith, Leonard A., Stainforth, David A. (2013). The myopia of imperfect climate models: the case of UKCP09. Philosophy of Science, 80(5), 886-897. https://doi.org/10.1086/673892
  • Giammarino, Flavia, Barrieu, Pauline (2013). Indifference pricing with uncertainty averse preferences. Journal of Mathematical Economics, 49(1), 2-15. https://doi.org/10.1016/j.jmateco.2012.09.003
  • Glendinning, Paul, Smith, Leonard A. (2013). Lacunarity and period-doubling. Dynamical Systems, 1-11. https://doi.org/10.1080/14689367.2012.755496
  • Imbers, J., Lopez, A., Huntingford, C., Allen, M. R. (2013). Testing the robustness of the anthropogenic climate change detection statements using different empirical models. Journal of Geophysical Research: Atmospheres, 118(8), 3192-3199. https://doi.org/10.1002/jgrd.50296
  • Machete, Reason L. (2013). Model imperfection and predicting predictability. International Journal of Bifurcation and Chaos, 23(08), 1330027-1-1330027-17. https://doi.org/10.1142/S0218127413300279
  • Machete, Reason L. (2013). Contrasting probabilistic scoring rules. Journal of Statistical Planning and Inference, 143(10), 1781-1790. https://doi.org/10.1016/j.jspi.2013.05.012
  • Suckling, Emma B., Smith, Leonard A. (2013). An evaluation of decadal probability forecasts from state-of-the-art climate models. Journal of Climate, 26(23), 9334-9347. https://doi.org/10.1175/JCLI-D-12-00485.1
  • Watkins, Nicholas W. (2013). Bunched black (and grouped grey) swans: dissipative and non-dissipative models of correlated extreme fluctuations in complex geosystems. Geophysical Research Letters, 40(2), 402-410. https://doi.org/10.1002/grl.50103
    • Chapter
  • Frigg, Roman (2013). Qu'est-ce que c'est la méchanique statistique? In Le Bihan, Sozig (Ed.), Précis De Philosophie De la Physique (pp. 152-176). Vuibert.
  • Frigg, Roman, Bradley, Seamus, Machete, Reason L., Smith, Leonard A. (2013). Probabilistic forecasting: why model imperfection is a poison pill. In Andersen, Hanne, Dieks, Dennis, Gonzalez, Wenceslao, Ubel, Thomas, Wheeler, Gregory (Eds.), New Challenges to Philosophy of Science (pp. 479-492). Springer Berlin / Heidelberg.
  • Surminski, Swenja (2013). The role of insurance risk transfer in encouraging climate investment in developing countries. In Dupuy, Pierre-Marie, Viñuales, Jorge E. (Eds.), Harnessing foreign investment to promote environmental protection (pp. 228-250). Cambridge University Press.
    • Conference or Workshop Item
  • Wheatcroft, Edward (2013-03-01) Will it rain tomorrow? Improving probabilistic forecasts [Poster]. LSE Research Festival 2013: Exploring Research Stories Through Visual Images, London, United Kingdom, GBR.
    • Report
  • Gibbs, Peter, Hanlon, Michael, Hardaker, Paul, Hawkins, Ed, MacDonald, Averil, Maskell, Kathy, Mayfield, Heather, Mclean, Angela, Morris, Elizabeth & Mylne, Ken et al (2013). Making sense of uncertainty: why uncertainty is part of science. Sense About Science.
    • Working paper
  • Frigg, Roman, Bradley, Seamus, Du, Hailiang, Smith, Leonard A. (2013). Laplace's demon and climate change. (Grantham Research Institue on Climate Change and the Environment working paper 103). Grantham Research Institue on Climate Change and the Environment.