On the central limit theorem for geometrically ergodic Markov chains
By Olle Häggström. 2005
58 citations recorded by the source corpus.
Subfields: Management Information Systems, Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ebf2a586a7d2e08c214985b702910d6bb8cd3fe8
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In Management Information Systems
- Ioannis Kontoyiannis
- Sean P. Meyn
- Galin L. Jones
- James M. Flegal
- Jeffrey S. Rosenthal
- Gareth O. Roberts
- Petros Dellaportas
- Shie Mannor
In Mathematical Physics
- Galin L. Jones
- Gareth O. Roberts
- Jeffrey S. Rosenthal
- James M. Flegal
- Ioannis Kontoyiannis
- Sean P. Meyn
- Radford M. Neal
- Jasper A. Vrugt
In Statistics and Probability
- Galin L. Jones
- Jeffrey S. Rosenthal
- Gareth O. Roberts
- James M. Flegal
- Ioannis Kontoyiannis
- Radford M. Neal
- Sean P. Meyn
- K. Latuszy'nski
Citations in the corpus
- Batch means and spectral variance estimators in Markov chain Monte Carlo (2008, background): “where τi, i = 1, 2 are the first two times at which regenerations occur in the split-chain; see Hobert et al. (2002), Jones and Hobert (2001) and Mykland et al.”
- On the Markov chain central limit theorem (2004, background): “tions. See [ 24 ] for a construction that establishes the existence of a geometrically ergodic Markov chain and a function f such that E f 2(x) <1 yet a CLT fails for any choice of 2. Also, see [2] for a counterexample with the same conclusion.”
- Stationarity and geometric ergodicity of BEKK multivariate GARCH models (2011, unknown): “4 (see [19] and also [20, 22]).”
- General state space Markov chains and MCMC algorithms (2004, background): “However, it was recently solved by Häggström [36], who produced a counter-example to prove the following: Theorem 26.”
- Geometric ergodicity and the spectral gap of non-reversible Markov chains (2009, methodology): “Based on earlier counterexamples constructed by Häggström [9, 10] and Bradley [1], in Section 3 we prove the following: Theorem 1.”