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Journal of Econometrics, ISSN 0304-4076, 12/2013, Volume 177, Issue 2, pp. 185 - 198
In this paper, we develop methods for estimation and forecasting in large time-varying parameter vector autoregressive models (TVP-VARs). To overcome... 
Bayesian VAR | Forecasting | State-space model | Time-varying coefficients | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MODELS | INFLATION | UNCERTAINTY | MONETARY-POLICY | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | Value-added resellers | Analysis | Models
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 04/2015, Volume 24, Issue 2, pp. 477 - 501
We propose an extensive framework for additive regression models for correlated functional responses, allowing for multiple partially nested or crossed... 
P-splines | Varying coefficient models | Smoothing | Functional data analysis | Functional principal component analysis | REGRESSION | LIKELIHOOD RATIO TESTS | CONFIDENCE-INTERVALS | COMPONENTS | STATISTICS & PROBABILITY | VARIANCE | SELECTION | functional principal component analysis
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 04/2019, Volume 114, Issue 526, pp. 882 - 892
In the last decade, significant theoretical advances have been made in the area of frequentist model averaging (FMA); however, the majority of this work has... 
Asymptotic optimality | Varying-coefficient partially linear model | Mallows criterion | Model averaging | Heteroscedasticity | FOCUSED INFORMATION CRITERIA | STATISTICS & PROBABILITY | QUANTILE REGRESSION | EFFICIENT ESTIMATION | SELECTION | INFERENCE | Prominence | Data analysis | Uncertainty | Computer simulation | Simulation | Criteria | Estimators
Journal Article
The Annals of Statistics, ISSN 0090-5364, 4/2014, Volume 42, Issue 2, pp. 700 - 727
Journal Article
Scientific Reports, ISSN 2045-2322, 12/2018, Volume 8, Issue 1, pp. 1417 - 14
Detecting the temporally and spatially varying correlations is important to understand the biological and disease systems. Here we proposed a geographically... 
INFLUENZA | LONGITUDINAL DATA | PRICES | VARYING-COEFFICIENT MODELS | MULTIDISCIPLINARY SCIENCES | 2-STEP ESTIMATION | Models, Theoretical | Spatial Regression | Epidemics | Influenza, Human - epidemiology | Logistic Models | Humans | Temporal variations | Epidemiology | Influenza | Spatial discrimination
Journal Article
Statistics in Medicine, ISSN 0277-6715, 11/2018, Volume 37, Issue 27, pp. 3931 - 3943
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
Computational Statistics and Data Analysis, ISSN 0167-9473, 02/2020, Volume 142, p. 106815
Estimating covariance matrices is an important research topic in statistics and finance. A semiparametric model for covariance matrix estimation is proposed.... 
Covariance regression | Time varying coefficient | Adjacency matrix | Information criterion | Covariance estimation | TIME-SERIES MODELS | HIGH-DIMENSIONAL COVARIANCE | STATISTICS & PROBABILITY | INFERENCE | RATES | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SELECTION | MATRIX ESTIMATION
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 01/2014, Volume 109, Issue 505, pp. 266 - 274
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 1/2006, Volume 68, Issue 2, pp. 179 - 199
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 01/2020, Volume 141, pp. 12 - 27
In this work, the adequacy check of errors-in-variables varying-coefficient models is investigated when replicate measurements are available. Estimation using... 
Additive measurement error | Replicate measurements | Model check | Varying-coefficient models | Empirical process | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | BOOTSTRAP | STATISTICS & PROBABILITY | OF-FIT TESTS | Measurement | Models | Information management | Analysis
Journal Article
Journal of Computational and Applied Mathematics, ISSN 0377-0427, 02/2019, Volume 347, pp. 210 - 221
Semiparametric model is a kind of important mathematical modeling method of high dimensional biological Big Data in human health and disease. In this paper, we... 
Basis approximation | High-dimensional | M-type estimator | Difference convex algorithm | Laplace error penalty | Variable selection | MATHEMATICS, APPLIED | VARYING-COEFFICIENT MODEL | REGRESSION-MODELS | ORACLE PROPERTIES | LIKELIHOOD | Big data | Models | Algorithms | Numerical analysis | Analysis
Journal Article
Biometrics, ISSN 0006-341X, 06/2017, Volume 73, Issue 2, pp. 483 - 494
Journal Article
Journal of Multivariate Analysis, ISSN 0047-259X, 07/2015, Volume 139, pp. 227 - 244
Single-index varying coefficient model (SIVCM) is a powerful tool for modeling nonlinearity in multivariate estimation, and has been widely used in the... 
Single-index varying coefficient model | MAVE | Model detection | Combined penalization | Oracle property | REGRESSION-MODELS | PARTIALLY LINEAR-MODELS | STATISTICS & PROBABILITY | VARIABLE SELECTION | ORACLE PROPERTIES | LIKELIHOOD | Monte Carlo method | Analysis
Journal Article