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Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’

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Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’. / Li, Jie; Fearnhead, Paul; Fryzlewicz, Piotr et al.
In: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 86, No. 2, 12.04.2024, p. 332-334.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Li, J, Fearnhead, P, Fryzlewicz, P & Wang, T 2024, 'Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’', Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 86, no. 2, pp. 332-334. https://doi.org/10.1093/jrsssb/qkae008

APA

Li, J., Fearnhead, P., Fryzlewicz, P., & Wang, T. (2024). Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 86(2), 332-334. https://doi.org/10.1093/jrsssb/qkae008

Vancouver

Li J, Fearnhead P, Fryzlewicz P, Wang T. Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 2024 Apr 12;86(2):332-334. Epub 2024 Jan 29. doi: 10.1093/jrsssb/qkae008

Author

Li, Jie ; Fearnhead, Paul ; Fryzlewicz, Piotr et al. / Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’. In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 2024 ; Vol. 86, No. 2. pp. 332-334.

Bibtex

@article{7685bc52d1764ce19bc80335adc1ac59,
title = "Authors{\textquoteright} reply to the Discussion of {\textquoteleft}Automatic Change-Point Detection in Time Series via Deep Learning{\textquoteright} at the Discussion Meeting on {\textquoteleft}Probabilistic and statistical aspects of machine learning{\textquoteright}",
keywords = "Statistics, Probability and Uncertainty, Statistics and Probability",
author = "Jie Li and Paul Fearnhead and Piotr Fryzlewicz and Tengyao Wang",
year = "2024",
month = apr,
day = "12",
doi = "10.1093/jrsssb/qkae008",
language = "English",
volume = "86",
pages = "332--334",
journal = "Journal of the Royal Statistical Society: Series B (Statistical Methodology)",
issn = "1369-7412",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’

AU - Li, Jie

AU - Fearnhead, Paul

AU - Fryzlewicz, Piotr

AU - Wang, Tengyao

PY - 2024/4/12

Y1 - 2024/4/12

KW - Statistics, Probability and Uncertainty

KW - Statistics and Probability

U2 - 10.1093/jrsssb/qkae008

DO - 10.1093/jrsssb/qkae008

M3 - Journal article

VL - 86

SP - 332

EP - 334

JO - Journal of the Royal Statistical Society: Series B (Statistical Methodology)

JF - Journal of the Royal Statistical Society: Series B (Statistical Methodology)

SN - 1369-7412

IS - 2

ER -