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Authors' reply to the discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid‐19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on <scp>COVID</scp> ‐19 transmission: 11 June 2021

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Authors' reply to the discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid‐19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on <scp>COVID</scp> ‐19 transmission: 11 June 2021. / Teh, Yee Whye; Elesedy, Bryn; He, Bobby et al.
In: Journal of the Royal Statistical Society: Series A Statistics in Society, Vol. 185, No. S1, 30.11.2022, p. S107-S109.

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@article{08339e4c079a47438c3266f2a5ce7ff9,
title = "Authors' reply to the discussion of {\textquoteleft}Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid‐19 Epidemic in British Local Authorities{\textquoteright} by Teh et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID ‐19 transmission: 11 June 2021",
keywords = "Statistics, Probability and Uncertainty, Economics and Econometrics, Social Sciences (miscellaneous), Statistics and Probability",
author = "Teh, {Yee Whye} and Bryn Elesedy and Bobby He and Michael Hutchinson and Sheheryar Zaidi and Avishkar Bhoopchand and Ulrich Paquet and Ne‐nad Tomasev and Jonathan Read and Diggle, {Peter J.}",
year = "2022",
month = nov,
day = "30",
doi = "10.1111/rssa.12976",
language = "English",
volume = "185",
pages = "S107--S109",
journal = "Journal of the Royal Statistical Society: Series A Statistics in Society",
issn = "0964-1998",
publisher = "Wiley",
number = "S1",

}

RIS

TY - JOUR

T1 - Authors' reply to the discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid‐19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID ‐19 transmission: 11 June 2021

AU - Teh, Yee Whye

AU - Elesedy, Bryn

AU - He, Bobby

AU - Hutchinson, Michael

AU - Zaidi, Sheheryar

AU - Bhoopchand, Avishkar

AU - Paquet, Ulrich

AU - Tomasev, Ne‐nad

AU - Read, Jonathan

AU - Diggle, Peter J.

PY - 2022/11/30

Y1 - 2022/11/30

KW - Statistics, Probability and Uncertainty

KW - Economics and Econometrics

KW - Social Sciences (miscellaneous)

KW - Statistics and Probability

U2 - 10.1111/rssa.12976

DO - 10.1111/rssa.12976

M3 - Journal article

VL - 185

SP - S107-S109

JO - Journal of the Royal Statistical Society: Series A Statistics in Society

JF - Journal of the Royal Statistical Society: Series A Statistics in Society

SN - 0964-1998

IS - S1

ER -