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2020 – today
- 2024
[j26]Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Noel Cressie
:
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK. J. Stat. Softw. 108(10) (2024)- 2023
- [j25]Joshuah Jacobson, Noel Cressie, Andrew Zammit-Mangion:
Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data. Remote. Sens. 15(16): 4038 (2023) - [i1]Andrew Zammit-Mangion, Michael D. Kaminski, Ba-Hien Tran, Maurizio Filippone, Noel Cressie:
Spatial Bayesian Neural Networks. CoRR abs/2311.09491 (2023) - 2022
- [j24]Bohai Zhang, Furong Li, Huiyan Sang, Noel Cressie:
Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data. Remote. Sens. 14(23): 5995 (2022) - 2021
- [j23]Hsin-Cheng Huang, Noel Cressie, Andrew Zammit-Mangion, Guowen Huang:
False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data. J. Comput. Graph. Stat. 30(4): 1081-1094 (2021) - [j22]Andrew Zammit-Mangion, Noel Cressie:
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets. J. Stat. Softw. 98(1) (2021)
2010 – 2019
- 2019
- [j21]Hai Nguyen, Noel Cressie, Jonathan Hobbs:
Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior Mean and Covariance, with Application to OCO-2 Retrievals. Remote. Sens. 11(23): 2770 (2019) - [j20]Bohai Zhang, Noel Cressie, Debra Wunch:
Inference for Errors-in-Variables Models in the Presence of Systematic Errors with an Application to a Satellite Remote Sensing Campaign. Technometrics 61(2): 187-201 (2019) - 2018
- [j19]Yuliya Marchetti, Hai Nguyen, Amy Braverman, Noel Cressie:
Spatial data compression via adaptive dispersion clustering. Comput. Stat. Data Anal. 117: 138-153 (2018) - [j18]Andrew Zammit-Mangion, Noel Cressie, Clint Shumack:
On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals. Remote. Sens. 10(1): 155 (2018) - [j17]Cécile Hardouin, Noel Cressie:
Two-scale spatial models for binary data. Stat. Methods Appl. 27(1): 1-24 (2018) - 2017
- [j16]Jonathan Hobbs, Amy Braverman, Noel Cressie, Robert Granat, Michael Gunson:
Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO2 from Satellite Data. SIAM/ASA J. Uncertain. Quantification 5(1): 956-985 (2017) - [j15]Noel Cressie, Rui Wang, Ben Maloney:
The Atmospheric Infrared Sounder Retrieval, Revisited. IEEE Geosci. Remote. Sens. Lett. 14(9): 1504-1507 (2017) - [j14]Hai Nguyen, Noel Cressie, Amy Braverman:
Multivariate Spatial Data Fusion for Very Large Remote Sensing Datasets. Remote. Sens. 9(2): 142 (2017) - 2014
- [j13]Lili Zhuang, Noel Cressie:
Bayesian hierarchical statistical SIRS models. Stat. Methods Appl. 23(4): 601-646 (2014) - [j12]Hai Nguyen, Matthias Katzfuss, Noel Cressie, Amy Braverman:
Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets. Technometrics 56(2): 174-185 (2014) - 2013
- [j11]Emily Lei Kang, Noel Cressie:
Bayesian Hierarchical ANOVA of Regional Climate-Change Projections from NARCCAP Phase II. Int. J. Appl. Earth Obs. Geoinformation 22: 3-15 (2013) - 2012
- [j10]Hongfei Li, Catherine A. Calder, Noel Cressie:
One-step estimation of spatial dependence parameters: Properties and extensions of the APLE statistic. J. Multivar. Anal. 105(1): 68-84 (2012) - 2011
- [j9]Amy Braverman, Noel Cressie, Joao Teixeira:
A likelihood-based comparison of temporal models for physical processes. Stat. Anal. Data Min. 4(3): 247-258 (2011)
2000 – 2009
- 2009
- [j8]Emily Lei Kang, Desheng Liu, Noel Cressie:
Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. Comput. Stat. Data Anal. 53(8): 3016-3032 (2009) - [c3]Maria Palazzi, Norah Zuniga Shaw, William Forsythe, Matthew R. Lewis, Beth Albright, Michael Andereck, Sucheta Bhatawadekar, Hyowon Ban, Andrew Calhoun, Jane Drozd, Joshua Fry, Melissa S. Quintanilha, Anna Reed, Benjamin Schroeder, Lily Skove, Ashley Thorndike, Mary Twohig, Ola Ahlqvist, Peter Chan, Noel Cressie, Stephen Turk, Jill Johnson, Christopher Roman, Elizabeth Waterhouse, Scott DeLahunta, Patrick Haggard, Alva Noë:
Synchronous Objects for One Flat Thing, reproduced. SIGGRAPH Art Gallery 2009: 37:1 - 2008
- [j7]Noel Cressie, Nicolas Verzelen:
Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields. Comput. Stat. Data Anal. 52(5): 2794-2807 (2008) - [j6]L. Mark Berliner, Noel Cressie, Kenneth C. Jezek, Yongku Kim, C. Q. Lam, C. J. van der Veen:
Equilibrium dynamics of ice streams: a Bayesian statistical analysis. Stat. Methods Appl. 17(2): 145-165 (2008) - [j5]Jian Zhang, Peter F. Craigmile, Noel Cressie:
Loss Function Approaches to Predict a Spatial Quantile and Its Exceedance Region. Technometrics 50(2): 216-227 (2008) - 2007
- [c2]Tao Shi, Noel Cressie:
Data Mining of MISR Aerosol Product using Spatial Statistics. CIDM 2007: 712-719 - 2000
- [j4]Noel Cressie, Hal S. Stern, Deanne Reber Wright:
Mapping rates associated with polygons. J. Geogr. Syst. 2(1): 61-69 (2000) - [j3]Hsin-Cheng Huang, Noel Cressie:
Deterministic/Stochastic Wavelet Decomposition for Recovery of Signal From Noisy Data. Technometrics 42(3): 262-276 (2000) - [p1]Andrew B. Lawson, Noel Cressie:
11 Spatial statistical methods for environmental epidemiology. Bioenvironmental and public health statistics 2000: 357-396
1990 – 1999
- 1999
- [j2]Jennifer L. Davidson, Noel Cressie, X. Hua:
Texture synthesis and pattern recognition for partially ordered Markov models. Pattern Recognit. 32(9): 1475-1505 (1999) - 1995
- [j1]Jeffrey D. Helterbrand, Jennifer L. Davidson, Noel Cressie:
Optimal closed boundary identification in gray-scale imagery. J. Math. Imaging Vis. 5(3): 179-205 (1995) - 1994
- [c1]Jennifer L. Davidson, Ashit Talukder, Noel Cressie:
Texture Analsyis Using Partially Ordered Markov Models. ICIP (3) 1994: 402-406
Coauthor Index
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