Works matching AU GENTON, MARC G.
Results: 128
Functional Time Series Analysis and Visualization Based on Records.
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- Journal of Computational & Graphical Statistics, 2025, v. 34, n. 1, p. 72, doi. 10.1080/10618600.2024.2374578
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- Article
Robust inference in sample selection models.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2016, v. 78, n. 4, p. 805, doi. 10.1111/rssb.12136
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- Article
A tilting approach to ranking influence.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2016, v. 78, n. 1, p. 77, doi. 10.1111/rssb.12102
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- Article
Explicit estimating equations for semiparametric generalized linear latent variable models.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2010, v. 72, n. 4, p. 475, doi. 10.1111/j.1467-9868.2010.00741.x
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- Article
Statistical inference for evolving periodic functions.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2007, v. 69, n. 4, p. 643, doi. 10.1111/j.1467-9868.2007.00604.x
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- Article
Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2019, v. 182, n. 2, p. 379, doi. 10.1111/rssa.12381
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- Article
Non‐Gaussian autoregressive processes with Tukey g‐and‐h transformations.
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- Environmetrics, 2019, v. 30, n. 2, p. N.PAG, doi. 10.1002/env.2503
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- Article
A point process analysis of cloud‐to‐ground lightning strikes in urban and rural Oklahoma areas.
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- Environmetrics, 2019, v. 30, n. 1, p. N.PAG, doi. 10.1002/env.2535
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- Article
Gaussian likelihood inference on data from trans-Gaussian random fields with Matérn covariance function.
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- Environmetrics, 2018, v. 29, n. 5/6, p. 1, doi. 10.1002/env.2458
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- Article
Comments on: Spatiotemporal models for skewed processes.
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- Environmetrics, 2017, v. 28, n. 6, p. n/a, doi. 10.1002/env.2430
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- Article
Evaluating the impacts of climate change on diurnal wind power cycles using multiple regional climate models.
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- Environmetrics, 2015, v. 26, n. 3, p. 192, doi. 10.1002/env.2329
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- Article
Adjusted functional boxplots for spatio-temporal data visualization and outlier detection.
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- Environmetrics, 2012, v. 23, n. 1, p. 54, doi. 10.1002/env.1136
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- Article
Multivariate log-skew-elliptical distributions with applications to precipitation data.
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- Environmetrics, 2010, v. 21, n. 3/4, p. 318, doi. 10.1002/env.1004
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- Article
Separable approximations of space-time covariance matrices.
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- 2007
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- Conference Paper/Materials
Testing for separability of space–time covariances.
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- Environmetrics, 2005, v. 16, n. 8, p. 819, doi. 10.1002/env.737
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- Article
Forecasting high‐frequency spatio‐temporal wind power with dimensionally reduced echo state networks.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2022, v. 71, n. 2, p. 449, doi. 10.1111/rssc.12540
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- Article
A PAIRWISE HOTELLING METHOD FOR TESTING HIGH-DIMENSIONAL MEAN VECTORS.
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- Statistica Sinica, 2024, v. 34, n. 1, p. 229, doi. 10.5705/ss.202021.0369
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- Article
A GENERALIZED HECKMAN MODEL WITH VARYING SAMPLE SELECTION BIAS AND DISPERSION PARAMETERS.
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- Statistica Sinica, 2022, v. 32, n. 4, p. 1911, doi. 10.5705/ss.202021.0068
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- Article
Current and Future Estimates of Wind Energy Potential Over Saudi Arabia.
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- Journal of Geophysical Research. Atmospheres, 2018, v. 123, n. 12, p. 6443, doi. 10.1029/2017JD028212
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- Article
Correlation Models for Temperature Fields.
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- Journal of Climate, 2011, v. 24, n. 22, p. 5850, doi. 10.1175/2011JCLI4199.1
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- Article
An invariance property of quadratic forms in random vectors with a selection distribution, with application to sample variogram and covariogram estimators.
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- Annals of the Institute of Statistical Mathematics, 2010, v. 62, n. 2, p. 363, doi. 10.1007/s10463-008-0175-3
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- Article
Scalable Gaussian-process regression and variable selection using Vecchia approximations.
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- Journal of Machine Learning Research, 2022, v. 23, p. 1
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- Article
A non‐stationary factor copula model for non‐Gaussian spatial data.
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- Stat, 2024, v. 13, n. 3, p. 1, doi. 10.1002/sta4.715
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- Article
On the non‐identifiability of unified skew‐normal distributions.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.597
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- Article
A space‐time model with temporal cyclostationarity for probabilistic forecasting and simulation of solar irradiance data.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.583
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- Article
Multivariate functional outlier detection using the fast massive unsupervised outlier detection indices.
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- Stat, 2023, v. 12, n. 1, p. 1, doi. 10.1002/sta4.567
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- Article
Trajectory functional boxplots.
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- Stat, 2020, v. 9, n. 1, p. 1, doi. 10.1002/sta4.289
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- Article
Full likelihood inference for max-stable data.
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- Stat, 2019, v. 8, n. 1, p. 1, doi. 10.1002/sta4.218
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- Article
Functional boxplots for multivariate curves.
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- Stat, 2018, v. 7, n. 1, p. N.PAG, doi. 10.1002/sta4.190
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- Article
Visuanimation in statistics.
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- Stat, 2015, v. 4, n. 1, p. 81, doi. 10.1002/sta4.77
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- Article
Beyond axial symmetry: An improved class of models for global data.
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- Stat, 2014, v. 3, n. 1, p. 48, doi. 10.1002/sta4.44
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- Article
Surface boxplots.
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- Stat, 2014, v. 3, n. 1, p. 1, doi. 10.1002/sta4.39
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- Article
An O(N) algorithm for computing expectation of N-dimensional truncated multi-variate normal distribution I: fundamentals.
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- Advances in Computational Mathematics, 2021, v. 47, n. 5, p. 1, doi. 10.1007/s10444-021-09888-1
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- Article
NONSEPARABLE, SPACE-TIME COVARIANCE FUNCTIONS WITH DYNAMICAL COMPACT SUPPORTS.
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- Statistica Sinica, 2020, v. 30, n. 2, p. 719, doi. 10.5705/ss.202017.0385
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- Article
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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- Article
AN OUTLYINGNESS MATRIX FOR MULTIVARIATE FUNCTIONAL DATA CLASSIFICATION.
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- Statistica Sinica, 2018, v. 28, n. 4, p. 2435, doi. 10.5705/ss.202016.0537
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- Article
Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature.
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- Technometrics, 2016, v. 58, n. 3, p. 319, doi. 10.1080/00401706.2015.1027068
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- Article
Modeling spatio-temporal wildfire ignition point patterns.
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- Environmental & Ecological Statistics, 2009, v. 16, n. 2, p. 225, doi. 10.1007/s10651-007-0080-6
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- Article
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters.
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- Environmetrics, 2024, v. 35, n. 6, p. 1, doi. 10.1002/env.2868
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- Article
Front Cover Image, Volume 34, Number 1, February 2023.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2791
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- Article
Large‐scale environmental data science with ExaGeoStatR.
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- Environmetrics, 2023, v. 34, n. 1, p. 1, doi. 10.1002/env.2770
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- Article
A cyclostationary model for temporal forecasting and simulation of solar global horizontal irradiance.
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- Environmetrics, 2021, v. 32, n. 8, p. 1, doi. 10.1002/env.2700
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- Article
Robust functional multivariate analysis of variance with environmental applications.
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- Environmetrics, 2021, v. 32, n. 1, p. 1, doi. 10.1002/env.2641
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- Article
Rejoinder to the discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources.
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- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2659
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- Article
A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources.
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- Environmetrics, 2020, v. 31, n. 7, p. 1, doi. 10.1002/env.2628
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- Article
Parametric variogram matrices incorporating both bounded and unbounded functions.
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- Stochastic Environmental Research & Risk Assessment, 2019, v. 33, n. 10, p. 1669, doi. 10.1007/s00477-019-01710-1
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- Article
Spatial blind source separation.
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- Biometrika, 2020, v. 107, n. 3, p. 627, doi. 10.1093/biomet/asz079
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- Article
Multivariate max-stable spatial processes.
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- Biometrika, 2015, v. 102, n. 1, p. 215, doi. 10.1093/biomet/asu066
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- Article
Spatially varying cross-correlation coefficients in the presence of nugget effects.
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- Biometrika, 2013, v. 100, n. 1, p. 213, doi. 10.1093/biomet/ass057
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- Article
Aggregation-cokriging for highly multivariate spatial data.
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- Biometrika, 2011, v. 98, n. 3, p. 615, doi. 10.1093/biomet/asr029
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- Article