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Econometric theory, ISSN 0266-4666, 08/2012, Volume 28, Issue 4, pp. 730 - 768
Journal Article
The Annals of statistics, ISSN 0090-5364, 2014, Volume 42, Issue 4, pp. 1657 - 1688
Journal Article
Econometric theory, ISSN 0266-4666, 12/2006, Volume 22, Issue 6, pp. 1112 - 1137
Journal Article
Journal Article
Statistica Sinica, ISSN 1017-0405, 2012, Volume 22, Issue 2, pp. 575 - 599
Journal Article
Econometric theory, ISSN 0266-4666, 02/2017, Volume 33, Issue 1, pp. 242 - 261
... at Canterbury YINGCUN XIANational University of SingaporeandUniversity of Electronic Science and Technology Censored quantile regressions have received a great deal... 
MISCELLANEA | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | DIMENSION REDUCTION | INDEPENDENCE | SURVIVAL ANALYSIS | ESTIMATORS | STATISTICS & PROBABILITY | SOCIAL SCIENCES, MATHEMATICAL METHODS | ASYMPTOTICS | ECONOMICS | MODEL | DEVIATIONS | Studies | Estimating techniques | Regression analysis | Econometrics
Journal Article
Statistica Sinica, ISSN 1017-0405, 2019, Volume 29, Issue 1, pp. 185 - 201
The online updating approach (ONLINE) has been commonly used for the analysis of big data and online transient data. We consider in this paper how to improve... 
Online updating estimation | Big data | Kernel density estimation | N-W estimation | Varying coefficient model | kernel density estimation | varying coefficient model | STATISTICS & PROBABILITY | online updating estimation | KERNEL DENSITY-ESTIMATION
Journal Article
Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, 10/2018, Volume 115, Issue 40, pp. 9956 - 9961
Journal Article
Statistical Science, ISSN 0883-4237, 2/2011, Volume 26, Issue 1, pp. 21 - 46
Using a time series model to mimic an observed time series has a long history. However, with regard to this objective, conventional estimation methods for... 
Maximum likelihood estimation | Time series models | Ecological modeling | Disease models | Measles | Time series | Skeleton | Birth rates | Modeling | Parametric models | Measurement errors | Optimal parameter | Data mining | Epidemiology | Nonlinear time series | Bayesian statistics | Ecological populations | Feature matching | Observation errors | Least squares estimation | Catch-all approach | Threshold autoregressive models,Whittle's likelihood | ACF | Periodicity | Blowflies | Misspecified models | Calibration | Feature consistency | Multi-step-ahead prediction | XT-likelihood | Box's dictum | Black-box models | Short time series | Model averaging | SIR epidemiological model | Population models | Sea levels | Maximum likelihood | Substantive models | Sunspots | ecological populations | feature consistency | model averaging | COMMUNITY SIZE | data mining | sea levels | short time series | INFERENCE | catch-all approach | epidemiology | skeleton | black-box models | optimal parameter | maximum likelihood | nonlinear time series | substantive models | ERROR | calibration | population models | AUTOREGRESSION | multi-step-ahead prediction | measurement errors | POPULATIONS | STATISTICS & PROBABILITY | threshold autoregressive models | least squares estimation | MULTISTEP PREDICTION | misspecified models | periodicity | DYNAMICS | blowflies | sunspots | feature matching | measles | observation errors | Whittle's likelihood | Box’s dictum | Whittle’s likelihood
Journal Article
Journal Article
Econometric theory, ISSN 0266-4666, 2010, Volume 26, Issue 5, pp. 1529 - 1564
Journal Article
Bernoulli, ISSN 1350-7265, 11/2009, Volume 15, Issue 4, pp. 1148 - 1153
The additive model is one of the most popular semi-parametric models. The backfitting estimation (Buja, Hastie and Tibshirani, Ann. Statist. 17 (1989) 453-555)... 
Economic models | Kernel functions | Statistical theories | Eigenvalues | Markov chains | Polynomials | Data smoothing | Semiparametric modeling | Estimators | Estimation methods | Convergence of algorithm | Backfitting algorithm | Additive model | Kernel smoothing | REGRESSION | kernel smoothing | STATISTICS & PROBABILITY | additive model | convergence of algorithm | backfitting algorithm
Journal Article
Biometrika, ISSN 0006-3444, 9/2004, Volume 91, Issue 3, pp. 661 - 681
Journal Article
by Zeng, XL and Xia, YC
STATISTICA SINICA, ISSN 1017-0405, 04/2019, Volume 29, Issue 2, pp. 1007 - 1024
The reproducing kernel Hilbert space (RKHS) method is arguably the most popular approach in machine learning to deal with nonlinearity in data. However, it has... 
CONNECTION | SUPPORT VECTOR MACHINES | RATES | Asymptotic normality | sobolev space | estimation efficiency | nonparametric estimation | STATISTICS & PROBABILITY | Gaussian reproducing kernel | REGULARIZATION NETWORKS
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 03/2013, Volume 108, Issue 501, pp. 228 - 236
We propose a novel varying coefficient model (VCM), called principal varying coefficient model (PVCM), by characterizing the varying coefficients through... 
Profile least-squares estimation | Semivarying coefficient model | Local linear estimator | Principal function | penalty | Theory and Methods | REGRESSION | INFERENCES | L-1 penalty | SPLINE ESTIMATION | STATISTICS & PROBABILITY | DYNAMIC-FACTOR MODEL | EFFICIENT ESTIMATION | Coefficient of variation | Parameter estimation | Analysis
Journal Article
The Annals of Applied Statistics, ISSN 1932-6157, 6/2016, Volume 10, Issue 2, pp. 989 - 1018
Journal Article
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