A

Alquier, P., Friel, N., Everitt, R. and Boland, A. (2016) Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels. Statistics and Computing, 26 (1). pp. 29-47. ISSN 1573-1375 doi: https://doi.org/10.1007/s11222-014-9521-x

D

Derroire, G., Coe, R. and Healey, J. R. (2016) Isolated trees as nuclei of regeneration in tropical pastures: testing the importance of niche-based and landscape factors. Journal of Vegetation Science, 27 (4). pp. 679-691. ISSN 1654-1103 doi: https://doi.org/10.1111/jvs.12404

V

von der Heydt, A. S., Dijkstra, H. A., van de Wal, R. S. W., Caballero, R., Crucifix, M., Foster, G. L., Huber, M., Köhler, P., Rohling, E., Valdes, P. J., Ashwin, P., Bathiany, S., Berends, T., van Bree, L. G. J., Ditlevsen, P., Ghil, M., Haywood, A. M., Katzav, J., Lohmann, G., Lohmann, J., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Marzocchi, A., Pälike, H., Baroni, I. R., Simon, D., Sluijs, A., Stap, L. B., Tantet, A., Viebahn, J. and Ziegler, M. (2016) Lessons on climate sensitivity from past climate changes. Current Climate Change Reports, 2 (4). pp. 148-158. ISSN 2198-6061 doi: https://doi.org/10.1007/s40641-016-0049-3