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Journal Articles
- 2023
[j3]Tomohiko Hironaka
, Takashi Goda:
An efficient estimation of nested expectations without conditional sampling. J. Comput. Appl. Math. 421: 114811 (2023)- 2022
- [j2]Takashi Goda, Tomohiko Hironaka, Wataru Kitade, Adam Foster:
Unbiased MLMC Stochastic Gradient-Based Optimization of Bayesian Experimental Designs. SIAM J. Sci. Comput. 44(1): 286- (2022) - 2020
- [j1]Tomohiko Hironaka, Michael B. Giles, Takashi Goda, Howard Thom:
Multilevel Monte Carlo Estimation of the Expected Value of Sample Information. SIAM/ASA J. Uncertain. Quantification 8(3): 1236-1259 (2020)
Informal and Other Publications
- 2023
- [i4]Tomohiko Hironaka, Takashi Goda:
Estimating nested expectations without inner conditional sampling and application to value of information analysis. CoRR abs/2306.04363 (2023) - 2021
- [i3]Tomohiko Hironaka, Takashi Goda:
An efficient estimation of nested expectations without conditional sampling. CoRR abs/2111.12278 (2021) - 2020
- [i2]Takashi Goda, Tomohiko Hironaka, Wataru Kitade:
Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs. CoRR abs/2005.08414 (2020) - 2019
- [i1]Tomohiko Hironaka, Michael B. Giles, Takashi Goda, Howard Thom:
Multilevel Monte Carlo estimation of the expected value of sample information. CoRR abs/1909.00549 (2019)
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