Spatio-temporal clustering analysis using generalized lasso with an application to reveal the spread of Covid-19 cases in Japan
Author:
Funder
Japan International Cooperation Agency
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s00180-023-01331-x.pdf
Reference39 articles.
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2. Arnold TB, Tibshirani RJ (2016) Efficient implementations of the generalized lasso dual path algorithm. J Comput Graph Stat 25(1):1–27. https://doi.org/10.1080/10618600.2015.1008638
3. Castro MC, Kim S, Barberia L, Ribeiro AF, Gurzenda S, Ribeiro KB, Abbott E, Blossom J, Rache B, Singer BH (2021) Spatiotemporal pattern of COVID-19 spread in Brazil. Science 372(6544):821–826. https://doi.org/10.1126/science.abh1558
4. Chen Y, Ong JHY, Rajarethinam J, Yap G, Ng LC, Cook AR (2018) Neighbourhood level real-time forecasting of dengue cases in tropical urban Singapore. BMC Med 16(1):129. https://doi.org/10.1186/s12916-018-1108-5
5. Choi H, Song E, Hwang S, Lee W (2018) A modified generalized lasso algorithm to detect local spatial clusters for count data. AStA Adv Statis Anal 102(4):537–563. https://doi.org/10.1007/s10182-018-0318-7
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