Improving the estimation and predictions of small time series models

DOI10.1515/jtse-2021-0051OpenAlexW3173236653MaRDI QIDQ2693368

Gareth Liu-Evans

Publication date: 20 March 2023

Published in: Journal of Time Series Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/jtse-2021-0051

zbMATH Keywords

time seriescount datadiffusionsforecastingbias correctionlikelihood-free estimation

Mathematics Subject Classification ID

Applications of statistics to economics (62P20)

Cites Work

• Unnamed Item
• Parameter estimation and bias correction for diffusion processes
• Jackknife estimation of stationary autoregressive models
• Advances in prospect theory: cumulative representation of uncertainty
• Approximate bias correction in econometrics
• Improved variance estimation of maximum likelihood estimators in stable first-order dynamic regression models
• Heteroskedasticity-robust inference in finite samples
• Higher-order asymptotic expansions of the least-squares estimation bias in first-order dynamic regression models
• A Theory of the Term Structure of Interest Rates
• THE APPROXIMATE MOMENTS OF THE LEAST SQUARES ESTIMATOR FOR THE STATIONARY AUTOREGRESSIVE MODEL UNDER A GENERAL ERROR DISTRIBUTION
• Hypothesis Testing in Linear Models when the Error Covariance Matrix is Nonscalar
• Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models
• Bootstrap, Jackknife and COLS: Bias and Mean Squared Error in Estimation of Autoregressive Models
• Further Results on Pseudo‐Maximum Likelihood Estimation and Testing in the Constant Elasticity of Variance Continuous Time Model
• EFFICIENT METHOD OF MOMENTS ESTIMATORS FOR INTEGER TIME SERIES MODELS
• Likelihood Estimation for the INAR(p) Model by Saddlepoint Approximation
• Maximum Likelihood Estimation of Discretely Sampled Diffusions: A Closed-form Approximation Approach
• First Order Autoregression: Inference, Estimation, and Prediction
• A Stochastic Approximation Method
• BIAS IN THE ESTIMATION OF AUTOCORRELATIONS
• NOTE ON BIAS IN THE ESTIMATION OF AUTOCORRELATION
• Estimation bias and bias correction in reduced rank autoregressions

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