Adaptively combined forecasting for discrete response time series
From MaRDI portal
Publication:2442579
DOI10.1016/j.jeconom.2013.04.019zbMath1284.62587OpenAlexW2091771614MaRDI QIDQ2442579
Xinyu Zhang, Zu-di Lu, Guo Hua Zou
Publication date: 4 April 2014
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2013.04.019
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84)
Related Items
Model averaging estimation for varying-coefficient single-index models ⋮ Optimal Model Averaging Based on Generalized Method of Moments ⋮ Frequentist Model Averaging for the Nonparametric Additive Model ⋮ Extremely randomized neural networks for constructing prediction intervals ⋮ Optimal model averaging based on forward-validation ⋮ Model averaging for support vector classifier by cross-validation ⋮ Model averaging based on James-Stein estimators ⋮ Multimodel inference based on smoothed information criteria ⋮ Least squares model averaging based on generalized cross validation ⋮ A NEW STUDY ON ASYMPTOTIC OPTIMALITY OF LEAST SQUARES MODEL AVERAGING ⋮ Averaging estimators for discrete choice by \(M\)-fold cross-validation ⋮ Sparsity Oriented Importance Learning for High-Dimensional Linear Regression
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Least-squares forecast averaging
- Dynamic discrete choice structural models: a survey
- Least squares model averaging by Mallows criterion
- Jackknife model averaging
- An improved model averaging scheme for logistic regression
- Asymptotic optimality for \(C_ p\), \(C_ L\), cross-validation and generalized cross-validation: Discrete index set
- Entropy numbers of diagonal operators between symmetric Banach spaces
- Risk bounds for model selection via penalization
- Mixing strategies for density estimation.
- Optimal Weight Choice for Frequentist Model Average Estimators
- Combining Multiple Biomarker Models in Logistic Regression
- Information Theory and Mixing Least-Squares Regressions
- Model Selection: An Integral Part of Inference
- Adaptive Regression by Mixing
- Minimax rate adaptive estimation over continuous hyper-parameters
- COMBINING FORECASTING PROCEDURES: SOME THEORETICAL RESULTS
- Stochastic volatility models for ordinal-valued time series with application to finance
- Variable Selection for Logistic Regression Using a Prediction‐Focused Information Criterion
- Least Squares Model Averaging
- Combining Linear Regression Models