Conditional limit theorems for ordered random walks

By Denis Denisov, Vitali Wachtel. 2009

49 citations recorded by the source corpus.

In a recent paper of Eichelsbacher and Koenig (2008) the model of ordered random walks has been considered. There it has been shown that, under certain moment conditions, one can construct a $k$-dimensional random walk conditioned to stay in a strict order at all times. Moreover, they have shown that the rescaled random walk converges to the Dyson Brownian motion. In the present paper we find the optimal moment assumptions for the construction proposed by Eichelsbacher and Koenig, and generalise the limit theorem for this conditional process.

Subfields: Artificial Intelligence, Mathematical Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/684fa00d069e9e7c29f2d666de0e75e997150705

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. Kilian Raschel
  2. Vitali Wachtel
  3. Denis Denisov

In Mathematical Physics

  1. Kilian Raschel
  2. Denis Denisov
  3. Vitali Wachtel
  4. R. Doney
  5. Matthew I. Roberts

In Statistics and Probability

  1. Kilian Raschel
  2. Vitali Wachtel
  3. Denis Denisov

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