Works matching IS 10170405 AND DT 2019 AND VI 29 AND IP 3
Results: 25
Corrections on \An assembly and decomposition approach for constructing separable minorizing functions in a class of MM algorithms".
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1
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- Article
Big Data in Environmental Studies.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1083
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THE RESTRICTED CONSISTENCY PROPERTY OF LEAVE-n<sub>v</sub>-OUT CROSS-VALIDATION FOR HIGH-DIMENSIONAL VARIABLE SELECTION.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1607, doi. 10.5705/ss.202015.0394
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MM ALGORITHMS FOR VARIANCE COMPONENT ESTIMATION AND SELECTION IN LOGISTIC LINEAR MIXED MODE.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1585, doi. 10.5705/ss.202017.0220
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GENERALIZED LINEAR CEPSTRAL MODELS FOR THE SPECTRUM OF A TIME SERIES.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1561, doi. 10.5705/ss.202017.0322
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HIGH-DIMENSIONAL SEMIPARAMETRIC ESTIMATE OF LATENT COVARIANCE MATRIX FOR MATRIX{VARIATE.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1535, doi. 10.5705/ss.202016.0364
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AN ADAPTIVE-TO-MODEL TEST FOR PARAMETRIC SINGLE-INDEX ERRORS-IN-VARIABLES MODELS.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1511, doi. 10.5705/ss.202017.0248
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SEMIPARAMETRIC REGRESSION MODEL FOR RECURRENT BACTERIAL INFECTIONS AFTER HEMATOPOIETIC STEM CELL TRANSPLANTATION.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1489, doi. 10.5705/ss.202017.0397
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THE SEMI-PARAMETRIC BERNSTEIN-VON MISES THEOREM FOR REGRESSION MODELS WITH SYMMETRIC ERRORS.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1465, doi. 10.5705/ss.202017.0074
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MULTIPLE QUANTILE MODELING VIA REDUCED-RANK REGRESSION.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1439, doi. 10.5705/ss.202016.0426
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OPTIMAL PAIRED CHOICE BLOCK DESIGNS.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1419, doi. 10.5705/ss.202016.0084
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ON FEATURE ENSEMBLE OPTIMIZING THE SENSITIVITY AND PARTIAL ROC CURVE.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1395, doi. 10.5705/ss.202014.0057
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COMPOSITE ESTIMATION: AN ASYMPTOTICALLY WEIGHTED LEAST SQUARES APPROACH.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1367, doi. 10.5705/ss.202016.0399
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CRITERIA FOR MULTIPLE SURROGATES.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1343, doi. 10.5705/ss.202017.0122
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EMPIRICAL LIKELIHOOD ESTIMATION USING AUXILIARY SUMMARY INFORMATION WITH DIFFERENT COVARIATE DISTRIBUTIONS.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1321, doi. 10.5705/ss.202017.0308
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LE CAM MAXIMIN TESTS FOR SYMMETRY OF CIRCULAR DATA BASED ON THE CHARACTERISTIC FUNCTION.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1301, doi. 10.5705/ss.202016.0016
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A POPULARITY-SCALED LATENT SPACE MODEL FOR LARGE-SCALE DIRECTED SOCIAL NETWORK.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1277, doi. 10.5705/ss.202017.0103
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A TEST FOR ISOTROPY ON A SPHERE USING SPHERICAL HARMONIC FUNCTIONS.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1253, doi. 10.5705/ss.202017.0475
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SEMIPARAMETRIC MODELING WITH NONSEPARABLE AND NONSTATIONARY SPATIO-TEMPORAL COVARIANCE FUNCTIONS AND ITS INFERENCE.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1233, doi. 10.5705/ss.202016.0297
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EFFICIENT ESTIMATION OF NONSTATIONARY SPATIAL COVARIANCE FUNCTIONS WITH APPLICATION TO HIGH-RESOLUTION CLIMATE MODEL EMULATION.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1209, doi. 10.5705/ss.202017.0536
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SPATIO-TEMPORAL MODELS WITH SPACE-TIME INTERACTION AND THEIR APPLICATIONS TO AIR POLLUTION DA.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1181, doi. 10.5705/ss.202017.0561
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SPATIAL FACTOR MODELS FOR HIGH-DIMENSIONAL AND LARGE SPATIAL DATA: AN APPLICATION IN FOREST VARIABLE MAPPING.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1155, doi. 10.5705/ss.202018.0005
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SPATIAL JOINT SPECIES DISTRIBUTION MODELING USING DIRICHLET PROCESSES.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1127, doi. 10.5705/ss.202017.0482
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A STOCHASTIC GENERATOR OF GLOBAL MONTHLY WIND ENERGY WITH TUKEY g-AND-h AUTOREGRESSIVE PROCES.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1105, doi. 10.5705/ss.202017.0474
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A MODEL FOR LARGE MULTIVARIATE SPATIAL DATA SETS.
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- Statistica Sinica, 2019, v. 29, n. 3, p. 1085, doi. 10.5705/ss.202017.0365
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