Generalized bootstrap for estimators of minimizers of convex functions

By Arup Bose, Snigdhansu Chatterjee. 2003

51 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a84938515479411a5e68621dc8bdeab0cec7c09c

How researchers see this paper

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

In Management Science and Operations Research

1. Matteo Bottai
2. Marco Geraci
3. Richard A. Berk

In Statistics and Probability

1. Matteo Bottai
2. Marco Geraci
3. Richard A. Berk
4. Cynthia Rudin
5. Judea Pearl
6. Derek C. Briggs
7. Berk Ustun
8. Jiaming Zeng

Citations in the corpus

• Linear quantile mixed models (2013, methodology): “Bootstrap represents a very flexible approach and is often used in quantile estimation (Parzen et al. 1994; Buchinsky 1995; He and Hu 2002; Kocherginsky et al. 2005; Bose and Chatterjee 2003; Koenker 2005; Feng et al. 2011; Canay 2011).”
• Asymmetric Loss Functions for Forecasting in Criminal Justice Settings (2011, background): “There are a number of very interesting bootstrap options that were also examined (Kocherginsky et at., 2005; He and Hu, 2002; Parsen et al., 1994; Bose and Chatterjee, 2003).”