E-LIB Suche - Ergebnisse für: Franks, Jordan

1

Corrigendum to "Fatigue life improvement using low transfor..:

Franks, Jordan ; Wheatley, Greg ; Zamani, Pedram...
International Journal of Fatigue. 183 (2024) - p. 108260 , 2024

Link: https://doi.org/10.1016/..

2

Fatigue life improvement using low transformation temperatu..:

Franks, Jordan ; Wheatley, Greg ; Zamani, Pedram...
International Journal of Fatigue. 164 (2022) - p. 107137 , 2022

Link: https://doi.org/10.1016/..

3

Unbiased Inference for Discretely Observed Hidden Markov Mo..:

Chada, Neil K. ; Franks, Jordan ; Jasra, Ajay..
SIAM/ASA Journal on Uncertainty Quantification. 9 (2021) 2 - p. 763-787 , 2021

Link: https://doi.org/10.1137/..

4

Importance sampling correction versus standard averages of ..:

Franks, Jordan ; Vihola, Matti
Stochastic Processes and their Applications. 130 (2020) 10 - p. 6157-6183 , 2020

Link: https://doi.org/10.1016/..

5

Importance sampling type estimators based on approximate ma..:

Vihola, Matti ; Helske, Jouni ; Franks, Jordan
Scandinavian Journal of Statistics. 47 (2020) 4 - p. 1339-1376 , 2020

Link: https://doi.org/10.1111/..

6

Handbook of Approximate Bayesian Computation:

Franks, Jordan J.
Journal of the American Statistical Association. 115 (2020) 532 - p. 2100-2101 , 2020

Link: https://doi.org/10.1080/..

7

On the use of approximate Bayesian computation Markov chain..:

Vihola, Matti ; Franks, Jordan
Biometrika. 107 (2020) 2 - p. 381-395 , 2020

Link: https://doi.org/10.1093/..

8

Unbiased Inference for Discretely Observed Hidden Markov Mo..:

Chada, Neil K ; Franks, Jordan ; Jasra, Ajay..
SIAM/ASA Journal on Uncertainty Quantification. , 2021

Link: http://urn.fi/URN:NBN:fi..

9

Importance sampling correction versus standard averages of ..:

Franks, Jordan ; Vihola, Matti
Stochastic Processes and Their Applications. , 2020

Link: http://urn.fi/URN:NBN:fi..

10

On the use of approximate Bayesian computation Markov chain..:

Vihola, Matti ; Franks, Jordan
Biometrika. , 2020

Link: http://urn.fi/URN:NBN:fi..

11

Importance sampling type estimators based on approximate ma..:

Vihola, Matti ; Helske, Jouni ; Franks, Jordan
Scandinavian Journal of Statistics. , 2020

Link: http://urn.fi/URN:NBN:fi..

12

On the use of approximate Bayesian computation Markov chain..:

Vihola, Matti ; Franks, Jordan
http://arxiv.org/abs/1902.00412. , 2019

Link: http://arxiv.org/abs/190..

13

Markov chain Monte Carlo importance samplers for Bayesian m..:

Franks, Jordan
http://arxiv.org/abs/1904.05886. , 2019

Link: http://arxiv.org/abs/190..

14

Markov chain Monte Carlo importance samplers for Bayesian m..:

Franks, Jordan
JYU dissertations. , 2019

Link: http://urn.fi/URN:ISBN:9..

15

Unbiased inference for discretely observed hidden Markov mo..:

Chada, Neil K ; Franks, Jordan ; Jasra, Ajay..
http://arxiv.org/abs/1807.10259. , 2018

Link: http://arxiv.org/abs/180..