Sampling: Design and Analysis, 3rd ed.
Sampling: Design and Analysis, 3rd ed.
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抽样:设计与分析,第三版。
DOI:
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发表时间:
2022
影响因子:
3.7
通讯作者:
Lin Liu
中科院分区:
文献类型:
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作者:
Yi Feng;Lin Liu
Agarwal, R., Melnick, L., Frosst, N., Zhang, X., Lengerich, B., Caruana, R., and Hinton, G. E. (2021), “Neural Additive Models: Interpretable Machine Learning with Neural Nets,” in Advances in Neural Information Processing Systems (Vol. 34), pp. 4699–4711. [2286] Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., and Rubin, D. B. (2013), Bayesian Data Analysis, Boca Raton, FL: Chapman and Hall/CRC. [2284] Ghosal, S., and van der Vaart, A. (2017), Fundamentals of Nonparametric Bayesian Inference (Vol. 44), Cambridge: Cambridge University Press. [2284] Jacot, A., Gabriel, F., and Hongler, C. (2018), “Neural Tangent Kernel: Convergence and Generalization in Neural Networks,” in Advances in Neural Information Processing Systems (Vol. 31). [2286] Little, R. J., and Rubin, D. B. (2019), Statistical Analysis with Missing Data (Vol. 793), New York: Wiley. [2286] Rügamer, D., Baumann, P. F., and Greven, S. (2022), “Selective Inference for Additive and Linear Mixed Models,” Computational Statistics & Data Analysis, 167, 107350. [2285] Ruppert, D., Wand, M. P., and Carroll, R. J. (2003), Semiparametric Regression (Vol. 12), Cambridge: Cambridge University Press. [2284] Wang, J.-L., Chiou, J.-M., and Müller, H.-G. (2016), “Functional Data Analysis,” Annual Review of Statistics and Its Application, 3, 257–295. [2285]
影响因子:
1.8
作者:
Meng, Xiao-Li
通讯作者:
Meng, Xiao-Li