Found: 18
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Multivariate max-stable spatial processes.
- Published in:
- Biometrika, 2015, v. 102, n. 1, p. 215, doi. 10.1093/biomet/asu066
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- Article
On the likelihood function of Gaussian max-stable processes.
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- Biometrika, 2011, v. 98, n. 2, p. 481, doi. 10.1093/biomet/asr020
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- Article
On approximating optimal weighted composite likelihood method for spatial models.
- Published in:
- Stat, 2018, v. 7, n. 1, p. N.PAG, doi. 10.1002/sta4.194
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- Article
Moving to an Activity-Friendly Community Can Increase Physical Activity.
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- Journal of Physical Activity & Health, 2023, v. 20, n. 11, p. 1058, doi. 10.1123/jpah.2023-0045
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- Article
Quantify the continuous dependence of SST-turbulent heat flux relationship on spatial scales.
- Published in:
- Geophysical Research Letters, 2017, v. 44, n. 12, p. 6326, doi. 10.1002/2017GL073695
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- Article
A full scale approximation of covariance functions for large spatial data sets.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2012, v. 74, n. 1, p. 111, doi. 10.1111/j.1467-9868.2011.01007.x
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- Article
Gaussian predictive process models for large spatial data sets.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2008, v. 70, n. 4, p. 825, doi. 10.1111/j.1467-9868.2008.00663.x
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- Article
Performance of Cloud 3D Solvers in Ice Cloud Shortwave Radiation Closure Over the Equatorial Western Pacific Ocean.
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- Journal of Advances in Modeling Earth Systems, 2022, v. 14, n. 2, p. 1, doi. 10.1029/2021MS002754
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- Article
Autologistic network model on binary data for disease progression study.
- Published in:
- Biometrics, 2019, v. 75, n. 4, p. 1310, doi. 10.1111/biom.13111
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- Publication type:
- Article
COVID-19: Short term prediction model using daily incidence data.
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- PLoS ONE, 2021, v. 16, n. 4, p. 1, doi. 10.1371/journal.pone.0250110
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- Article
Age–volume associations in cerebellar lobules by sex and reproductive stage.
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- Brain Structure & Function, 2022, v. 227, n. 7, p. 2439, doi. 10.1007/s00429-022-02535-5
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- Article
Hierarchical modeling for extreme values observed over space and time.
- Published in:
- Environmental & Ecological Statistics, 2009, v. 16, n. 3, p. 407, doi. 10.1007/s10651-007-0078-0
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- Publication type:
- Article
Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data.
- Published in:
- Remote Sensing, 2022, v. 14, n. 23, p. 5995, doi. 10.3390/rs14235995
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- Publication type:
- Article
SMOOTHED FULL-SCALE APPROXIMATION OF GAUSSIAN PROCESS MODELS FOR COMPUTATION OF LARGE SPATIAL DATA SETS.
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- Statistica Sinica, 2019, v. 29, n. 4, p. 1711, doi. 10.5705/ss.202017.0008
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- Article
Park Characteristics and Changes in Park Visitation before, during, and after COVID-19 Shelter-in-Place Order.
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- Sustainability (2071-1050), 2022, v. 14, n. 6, p. 3579, doi. 10.3390/su14063579
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- Article
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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- Article
A binary hidden Markov model on spatial network for amyotrophic lateral sclerosis disease spreading pattern analysis.
- Published in:
- 2021
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- Publication type:
- journal article
Bayesian Spatial Homogeneity Pursuit of Functional Data: An Application to the U.S. Income Distribution.
- Published in:
- Bayesian Analysis, 2023, v. 18, n. 2, p. 579, doi. 10.1214/22-BA1320
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- Article