Model selection by LASSO methods in a change-point model

By Gabriela Ciuperca. 2011

65 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6c1f6ae5680420114001ad238b6d8a808f4b465b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Pengyu Liu
2. I. Macneill
3. Piotr Fryzlewicz
4. Stergios B. Fotopoulos
5. Venkata K. Jandhyala

In Economics and Econometrics

1. Pengyu Liu
2. I. Macneill
3. Piotr Fryzlewicz
4. Stergios B. Fotopoulos
5. Venkata K. Jandhyala

In Statistics and Probability

1. Stergios B. Fotopoulos
2. Venkata K. Jandhyala
3. Pengyu Liu
4. I. Macneill
5. Piotr Fryzlewicz
6. Holger Dette
7. Nicolas Vayatis
8. Laurent Oudre

Citations in the corpus

• Wild binary segmentation for multiple change-point detection (2014, background): “More general forms of Schwarz-like penalties are studied, for example, in Wu (2008) and Ciuperca (2011, 2014).”
• Inference for single and multiple change‐points in time series (2013, methodology): “Included among them are Bleakley and Vert (2011), Shi et al. (2012), Ciuperca (2012) and Angelosante and Giannakis (2012).”