Adaptive lasso and Dantzig selector for spatial point processes intensity estimation
Author:
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.
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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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