Nonlinear and non-Gaussian state-space modeling with Monte Carlo simulations
From MaRDI portal
Publication:1377315
DOI10.1016/S0304-4076(97)80226-6zbMath0905.62094OpenAlexW2105032794WikidataQ128090024 ScholiaQ128090024MaRDI QIDQ1377315
Hisashi Tanizaki, Roberto S. Mariano
Publication date: 9 February 1999
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0304-4076(97)80226-6
Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Filtering in stochastic control theory (93E11) Monte Carlo methods (65C05) Numerical integration (65D30)
Related Items (12)
A Comparison of Two Alternative Approaches to Modeling Level Shifts in the Presence of Outliers ⋮ Improved minimum entropy filtering for continuous nonlinear non-Gaussian systems using a generalized density evolution equation ⋮ Nonlinear and nonnormal filter using importance sampling: antithetic monte carlo integration ⋮ Nonlinear and non-gaussian state estimation: A quasi-optimal estimator ⋮ A Survey of Sequential Monte Carlo Methods for Economics and Finance ⋮ Max-linear regression models with regularization ⋮ A Girsanov particle filter in nonlinear engineering dynamics ⋮ Estimation of unknown parameters in nonlinear and non-Gaussian state-space models ⋮ Bayesian estimation of state-space models using the Metropolis-Hastings algorithm within Gibbs sampling. ⋮ Measuring the baseline sales and the promotion effect for incense products: a Bayesian state-space modeling approach ⋮ On markov chain monte carlo methods for nonlinear and non-gaussian state-space models ⋮ Estimation for a class of generalized state-space time series models.
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bayesian forecasting and dynamic models.
- Antithetic acceleration of Monte Carlo integration in Bayesian inference
- Nonlinear filters. Estimation and applications
- Recursive Bayesian estimation using piecewise constant approximations
- A comparison of three non-linear filters
- Recursive Bayesian estimation using Gaussian sums
- Residual-Based Procedures for Prediction and Estimation in a Nonlinear Simultaneous System
- Asymptotic Behavior of Predictors in a Nonlinear Simultaneous System
- Sampling-Based Approaches to Calculating Marginal Densities
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Non-Gaussian State-Space Modeling of Nonstationary Time Series
- Measures of Deterministic Prediction Bias in Nonlinear Models
- Monte Carlo Approximations in Bayesian Decision Theory
- Inference for nonconjugate Bayesian Models using the Gibbs sampler
- Nonlinear filters based on taylor series expansions∗
- A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration
- Bayesian Inference in Econometric Models Using Monte Carlo Integration
- Nonlinear Bayesian estimation using Gaussian sum approximations
This page was built for publication: Nonlinear and non-Gaussian state-space modeling with Monte Carlo simulations