Citation Analysis

Structural breaks detection and variable selection in dynamic linear regression via the Iterative Fused LASSO in high dimension
Angelo Milfont, Alvaro Veiga
https://arxiv.org/abs/2502.20816

Citation mentions

Cited references

Sections

3,410

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	Tibshirani, R.: Regression shrinkage and selection...	1996	2	1	2.0	0.167	0.511	100%
2	Zou, H.: The adaptive lasso and its oracle propert...	2006	2	1	2.0	0.167	0.511	100%
3	Tibshirani, R., Saunders, M., Rosset, S., Zhu, J.,...	2005	2	1	2.0	0.167	0.511	100%
4	Breaux, H.J.: On stepwise multiple linear regressi...	1967	1	1	1.0	0.083	0.406	100%
5	Epprecht, C.D., Guegan, D., Veiga, �., da Rosa, J.... (self)	2021	1	1	1.0	0.083	0.406	100%
6	Hoerl, A.E., Kennard, R.W.: Ridge regression: Bias...	1970	1	1	1.0	0.083	0.406	100%
7	Chow, G.C.: Tests of equality between sets of coef...	1960	1	1	1.0	0.083	0.406	100%
8	Perron, P.: The great crash, the oil price shock, ...	1989	1	1	1.0	0.083	0.406	100%
9	Arnold, T.B., Tibshirani, R.J.: genlasso: Path Alg...	2022	1	1	1.0	0.083	0.406	100%

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.