Generalized Look-Ahead Methods for Computing Stationary Densities
Published Online:19 Jun 2012https://doi.org/10.1287/moor.1120.0547
References
- . Linear Processes in Function Space (2000) (Springer-Verlag, New York) Crossref, Google Scholar
- . Basic properties of strong mixing conditions: A survey and some open questions. Probab. Surveys (2005) 2:107–144Crossref, Google Scholar
- . Simulated likelihood estimation of diffusions with an application to exchange rate dynamics in incomplete markets. J. Financial Econom. (2002) 63:161–210Crossref, Google Scholar
- . Central limit and functional central limit theorems for Hilbert-valued dependent heterogeneous arrays with applications. Econometric Theory (1998) 14:260–284Crossref, Google Scholar
- . Stochastic volatility in asset prices estimation with simulated maximum likelihood. J. Econometrics (1994) 64(1--2):375–400Crossref, Google Scholar
- . Combinatorial Methods in Density Estimation (2001) (Springer-Verlag, New York) Crossref, Google Scholar
- . Cambridge studies in advanced mathematics No. 74. Real Analysis and Probability (2002) (Cambridge University Press)Crossref, Google Scholar
- . Sampling-based approaches to calculating marginal densities. J. Amer. Statist. Assoc. (1990) 85:398–409Crossref, Google Scholar
- , Dalang RC, Dozzi M, Russo F. Yet another look at Harris' ergodic theorem for Markov chains. Seminar on Stochastic Analysis, Random Fields, and Applications VI (2011) (Springer Basel)109–117Crossref, Google Scholar
- . Computing densities for Markov chains via simulation. Math. Oper. Res. (2001) 26:375–400Link, Google Scholar
- . On the Markov chain central limit theorem. Probab. Surveys (2004) 1:299–320Crossref, Google Scholar
- . Stochastic optimal growth with bounded or unbounded utility and with bounded or unbounded shocks. J. Math. Econom. (2007) 43(3--4):477-500Google Scholar
- . Uniform ergodicity of a class of Markov chains with applications to time series models. (2008) . Mimeo, Columbia UniversityGoogle Scholar
- . Toward a unified approach to proving geometric ergodicity and mixing properties of nonlinear autoregressive processes. J. Time Series Anal. (2005) 26(5):669–689Crossref, Google Scholar
- . Lectures on the Coupling Method (2002) (Dover Publications, Mineola, NY) Google Scholar
- . Sharp conditions for the CLT of linear processes in a Hilbert space. J. Theor. Probab. (1997) 10(3):681–693Crossref, Google Scholar
- . Markov Chains and Stochastic Stability (2009) 2nd ed.(Cambridge University Press)Crossref, Google Scholar
- . Stability of stochastic optimal growth models: A new approach. J. Econom. Theory (2005) 122(1):100–118Crossref, Google Scholar
- . A new approach to maximum likelihood estimation for stochastic differential equations based on discrete observations. Scandinavian J. Statist. (1995) 22:55–71Google Scholar
- . Computing the distributions of economic models via simulation. Econometrica (2008) 76(2):443–450Crossref, Google Scholar

