Citation Analysis

Data-Driven Tuning Parameter Selection for High-Dimensional Vector Autoregressions %\begincomment
Anders Bredahl Kock, Rasmus Søndergaard Pedersen, Jesper Riis-Vestergaard Sørensen
https://arxiv.org/abs/2403.06657
116
Citation mentions
40
Cited references
16
Sections
3,865
Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

# Reference Year Mentions Breadth Sec. Wtd Share Composite Main %
1 Kock, A. B. and Callot, L (self) 2015 10 3 17.0 0.086 1.000 100%
2 Wong, K. C., Li, Z., and Tewari, A 2020 8 3 11.0 0.069 0.957 88%
3 Belloni, A., Chernozhukov, V., and Wang, L 2011 5 3 7.5 0.043 0.928 80%
4 Miao, L., Phillips, P. C. B., and Su, L 2023 8 2 12.0 0.069 0.874 100%
5 Masini, R. P., Medeiros, M. C., and Mendes, E. F 2022 8 2 13.0 0.069 0.874 100%
6 Basu, S. and Michailidis, G 2015 4 2 6.0 0.034 0.811 100%
7 Gao, L., Shao, Q.-M., and Shi, J 2022 6 4 6.5 0.052 0.794 50%
8 Belloni, A., Chen, D., Chernozhukov, V., and Hanse... 2012 13 7 13.5 0.112 0.773 46%
9 Chernozhukov, V., Hardle, W. K., Huang, C., and Wa... 2021 3 2 4.0 0.026 0.737 100%
10 Adamek, R., Smeekes, S., and Wilms, I 2023 3 2 4.0 0.026 0.737 100%
11 Medeiros, M. C. and Mendes, E. F 2016 3 2 4.0 0.026 0.737 100%
12 Han, F. and Liu, H 2013 2 2 3.0 0.017 0.644 100%
13 Davis, R. A., Zang, P., and Zheng, T 2016 2 2 3.0 0.017 0.644 100%
14 Javanmard, A. and Montanari, A 2014 2 2 3.0 0.017 0.644 100%
15 van de Geer, S., Buhlmann, P., Ritov, Y., and Deze... 2014 2 2 3.0 0.017 0.644 100%
16 Zhang, C.-H. and Zhang, S. S 2014 2 2 3.0 0.017 0.644 100%
17 Wu, W. B 2005 2 1 2.0 0.017 0.511 100%
18 Babii, A., Ghysels, E., and Striaukas, J 2022 2 1 2.0 0.017 0.511 100%
19 Lutkepohl, H 2005 1 1 1.0 0.009 0.406 100%
20 Tibshirani, R 1996 1 1 1.0 0.009 0.406 100%
21 Song, S. and Bickel, P. J 2011 1 1 1.0 0.009 0.406 100%
22 Han, F., Lu, H., and Liu, H 2015 1 1 1.0 0.009 0.406 100%
23 Guo, S., Wang, Y., and Yao, Q 2016 1 1 1.0 0.009 0.406 100%
24 Wu, W.-B. and Wu, Y. N 2016 1 1 1.0 0.009 0.406 100%
25 Chen, X., Shao, Q.-M., Wu, W. B., and Xu, L 2016 1 1 1.0 0.009 0.406 100%
26 Xie, F. and Xiao, Z 2018 1 1 1.0 0.009 0.406 100%
27 Pfanzagl, J 1994 1 1 2.0 0.009 0.406 100%
28 Tibshirani, R 2013 1 1 2.0 0.009 0.406 100%
29 Sun, T. and Zhang, C.-H 2012 1 1 2.0 0.009 0.406 100%
30 McCracken, M. W. and Ng, S 2016 1 1 2.0 0.009 0.406 100%
31 Kuchibhotla, A. K. and Chakrabortty, A 2022 4 3 2.0 0.034 0.200 0%
32 Vladimirova, M., Girard, S., Nguyen, H., and Arbel... 2020 4 3 2.0 0.034 0.200 0%
33 Horn, R. and Johnson, C 1985 3 2 1.5 0.026 0.159 0%
34 Bickel, P. J., Ritov, Y., and Tsybakov, A. B 2009 2 2 1.0 0.017 0.139 0%
35 Wu, W. B. and Shao, X 2004 1 1 0.5 0.009 0.087 0%
36 Zhang, X. and Cheng, G 2018 1 1 0.5 0.009 0.087 0%
37 Loh, P.-L. and Wainwright, M. J 2012 1 1 0.5 0.009 0.087 0%
38 Negahban, S. N., Ravikumar, P., Wainwright, M. J.,... 2012 1 1 0.5 0.009 0.087 0%
39 1 1 0.5 0.009 0.087 0%
40 Belloni, A. and Chernozhukov, V 2013 1 1 0.5 0.009 0.087 0%
Measures: Mentions = total in-text citations; Breadth = distinct sections; Sec. Wtd = section-weighted count (body ×2, lit review/appendix ×0.5); Share = mentions / total citations in paper; Composite = geometric mean of normalised count, breadth, and main-text ratio; Main % = fraction of mentions in main text (excl. appendix). (self) = self-citation.