Non-Bayesian Testing of a Stochastic Prediction

By Eddie Dekel, Yossi Feinberg. 2006

65 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/dc8bcb3eeea98d95dad12c5def1bd584d5dde4ca

How researchers see this paper

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

In Artificial Intelligence

1. Alvaro Sandroni
2. Wojciech Olszewski

In Management Science and Operations Research

1. David K. Levine
2. Drew Fudenberg
3. Alvaro Sandroni
4. Wojciech Olszewski

In Statistical and Nonlinear Physics

1. David K. Levine
2. Alvaro Sandroni
3. Wojciech Olszewski
4. Drew Fudenberg

Citations in the corpus

• Manipulability of Future‐Independent Tests (2008, background): “The tests developed by Dekel and Feinberg (2006) and Olszewski and Sandroni (2007b) are unlikely to reject the data-generating process and cannot be ignorantly passed.”
• Learning and Equilibrium (2009, background): “Dekel & Feinberg (2006) and Olszeiwski & Sandroni (2006) relaxed the condition that the test yield a definite result in finite time.”
• Testing Multiple Forecasters (2008, unknown): “In fact, such finite approximation results hold for all limit results in this paper, much like the finite approximation results in Dekel and Feinberg (2006) and Olszewski and Sandroni (2006a).”