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Journal of Econometrics, ISSN 0304-4076, 2009, Volume 152, Issue 2, pp. 81 - 92
Journal Article
Journal of Econometrics, ISSN 0304-4076, 03/2014, Volume 179, Issue 1, pp. 46 - 65
Journal Article
Journal of Computational and Applied Mathematics, ISSN 0377-0427, 07/2016, Volume 300, pp. 1 - 17
Journal Article
Scandinavian Journal of Statistics, ISSN 0303-6898, 09/2018, Volume 45, Issue 3, pp. 618 - 643
Journal Article
Biometrics, ISSN 0006-341X, 12/2018, Volume 74, Issue 4, pp. 1417 - 1426
Summary Forecasting and predictive inference are fundamental data analysis tasks. Most studies employ parametric approaches making strong assumptions about the... 
Semiparametric estimation | Quadratic programming | Model averaging | Prediction error | Varying coefficient model | REGRESSION | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | SELECTION | LIKELIHOOD | Analysis | Information management
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 12/2017, Volume 97, pp. 59 - 83
•SHM in structures with time-dependent dynamics under uncertainty is considered.•Random Coefficient TARMA models represent time-dependent dynamics.•Uncertainty... 
Random coefficient | Damage diagnosis | Uncertainty | Time–dependent ARMA models | Structural Health Monitoring (SHM) | Time-varying dynamics | Time-dependent ARMA models | ALGORITHM | CHANGING ENVIRONMENT | IDENTIFICATION | ENGINEERING, MECHANICAL | OPERATING WIND TURBINE | DAMAGE DETECTION | FAULT-DIAGNOSIS | FREQUENCY | MACHINE | Gaussian processes | Mechanical engineering
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2017, Volume 80, Issue 6, pp. 1 - 33
The tree-based TVCM algorithm and its implementation in the R package vcrpart are introduced for generalized linear models. The purpose of TVCM is to learn... 
Varying coefficient models | Regression trees | Statistical learning | Generalized linear models | R package | CART | generalized linear models | TESTS | statistical learning | regression trees | PARAMETER INSTABILITY | STATISTICS & PROBABILITY | PREDICTION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MODELS | varying coefficient models | SELECTION
Journal Article
Journal Article
Journal of Econometrics, ISSN 0304-4076, 04/2020, Volume 215, Issue 2, pp. 607 - 632
This paper studies nonlinear cointegrating models with time-varying coefficients and multiple nonstationary regressors using classic kernel smoothing methods... 
FM-kernel estimation | Generalized Wald test | Super-consistency | Cointegration | Local rotation | Time-varying coefficients | Kernel degeneracy | Global rotation | STATISTICAL-INFERENCE | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | SERIES MODELS | Monte Carlo method | Analysis | Interest rates
Journal Article
The Annals of Statistics, ISSN 0090-5364, 6/2012, Volume 40, Issue 3, pp. 1906 - 1933
Journal Article
The Annals of Statistics, ISSN 0090-5364, 10/1999, Volume 27, Issue 5, pp. 1491 - 1518
Journal Article
Journal of Forecasting, ISSN 0277-6693, 04/2019, Volume 38, Issue 3, pp. 175 - 191
We use real‐time macroeconomic variables and combination forecasts with both time‐varying weights and equal weights to forecast inflation in the USA. The... 
real‐time data | inflation forecasts | time‐varying coefficient model | forecast combination | time-varying coefficient model | real-time data | DATA SET | MANAGEMENT | ECONOMICS | STOCHASTIC VOLATILITY | PREDICTION | Economic forecasting | Inflation (Finance) | Forecasts and trends | Methods | Economic models | Inflation | Volatility | Specification | Forecasting |