Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Engineering
Reference12 articles.
1. Alfonsi, A., Hayashi, M., Kohatsu-Higa, A.: Parametrix Methods for One-Dimensional Reflected SDEs. Modern Problems of Stochastic Analysis and Statistics: Selected Contributions In Honor of Valentin Konakov, pp. 43–66. Springer, Berlin (2017)
2. Andersson, P., Kohatsu-Higa, A.: Unbiased simulation of stochastic differential equations using parametrix expansions. Bernoulli 23(3), 2028–2057 (2017)
3. Andersson, P., Kohatsu-Higa, A., Yuasa, T.: Second order probabilistic parametrix method for unbiased simulation of stochastic differential equations (preprint)
4. Bally, V., Kohatsu-Higa, A.: A probabilistic interpretation of the parametrix method. Ann. Appl. Probab. 25(6), 3095–3138 (2015)
5. Beskos, A., Papaspiliopoulos, O., Roberts, G.O., Fearnhead, P.: Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes. J. R. Stat. Soc. Ser. B Stat. Methodol. 68(3), 333–382 (2006)