Adaptive lasso and Dantzig selector for spatial point processes intensity estimation-Reference-Cited by-同舟云学术

Adaptive lasso and Dantzig selector for spatial point processes intensity estimation

Published:2023-08-01 Issue:3 Volume:29 Page:
ISSN:1350-7265
Container-title:Bernoulli
language:
Short-container-title:Bernoulli

Author:

Choiruddin Achmad¹,Coeurjolly Jean-François²,Letué Frédérique²

Affiliation:

1. Department of Statistics, Institut Teknologi Sepuluh Nopember (ITS), Indonesia

2. Laboratory Jean Kuntzmann, University Grenoble Alpes, France

Publisher

Bernoulli Society for Mathematical Statistics and Probability

Subject

Statistics and Probability

Reference29 articles.

1. Boyd, S. and Vandenberghe, L. (2004). Convex Optimization. Cambridge: Cambridge Univ. Press. 10.1017/CBO9780511804441

2. Møller, J. and Waagepetersen, R.P. (2004). Statistical Inference and Simulation for Spatial Point Processes. Monographs on Statistics and Applied Probability 100. Boca Raton, FL: CRC Press/CRC.

3. Bickel, P.J., Ritov, Y. and Tsybakov, A.B. (2009). Simultaneous analysis of lasso and Dantzig selector. Ann. Statist. 37 1705–1732. 10.1214/08-AOS620

4. Fan, J. and Peng, H. (2004). Nonconcave penalized likelihood with a diverging number of parameters. Ann. Statist. 32 928–961. 10.1214/009053604000000256

5. Antoniadis, A., Fryzlewicz, P. and Letué, F. (2010). The Dantzig selector in Cox’s proportional hazards model. Scand. J. Stat. 37 531–552. 10.1111/j.1467-9469.2009.00685.x

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