Texture Analsyis Using Partially Ordered Markov Models. - Jennifer L. Davidson; Ashit Talukder; Noel Cressie (ICIP (3), 1994)

Optimal closed boundary identification in gray-scale imagery. - Jeffrey D. Helterbrand; Jennifer L. Davidson; Noel Cressie (J. Math. Imaging Vis., 1995)

Texture synthesis and pattern recognition for partially ordered Markov models. - Jennifer L. Davidson; Noel Cressie; X. Hua (Pattern Recognit., 1999)

11 Spatial statistical methods for environmental epidemiology. - Andrew B. Lawson; Noel Cressie (Bioenvironmental and public health statistics, 2000)

Mapping rates associated with polygons. - Noel Cressie; Hal S. Stern; Deanne Reber Wright (J. Geogr. Syst., 2000)

Deterministic/Stochastic Wavelet Decomposition for Recovery of Signal From Noisy Data. - Hsin-Cheng Huang; Noel Cressie (Technometrics, 2000)

Data Mining of MISR Aerosol Product using Spatial Statistics. - Tao Shi; Noel Cressie (CIDM, 2007)

Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields. - Noel Cressie; Nicolas Verzelen (Comput. Stat. Data Anal., 2008)

Equilibrium dynamics of ice streams: a Bayesian statistical analysis. - L. Mark Berliner; Noel Cressie; Kenneth C. Jezek; Yongku Kim; C. Q. Lam; C. J. van der Veen (Stat. Methods Appl., 2008)

Loss Function Approaches to Predict a Spatial Quantile and Its Exceedance Region. - Jian Zhang 077; Peter F. Craigmile; Noel Cressie (Technometrics, 2008)

Synchronous Objects for One Flat Thing, reproduced. - 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; et al. (SIGGRAPH Art Gallery, 2009)

Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. - Emily Lei Kang; Desheng Liu; Noel Cressie (Comput. Stat. Data Anal., 2009)

A likelihood-based comparison of temporal models for physical processes. - Amy Braverman; Noel Cressie; Joao Teixeira (Stat. Anal. Data Min., 2011)

One-step estimation of spatial dependence parameters: Properties and extensions of the APLE statistic. - Hongfei Li; Catherine A. Calder; Noel Cressie (J. Multivar. Anal., 2012)

Bayesian Hierarchical ANOVA of Regional Climate-Change Projections from NARCCAP Phase II. - Emily Lei Kang; Noel Cressie (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Bayesian hierarchical statistical SIRS models. - Lili Zhuang; Noel Cressie (Stat. Methods Appl., 2014)

Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets. - Hai Nguyen 002; Matthias Katzfuss; Noel Cressie; Amy Braverman (Technometrics, 2014)

Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO2 from Satellite Data. - Jonathan Hobbs; Amy Braverman; Noel Cressie; Robert Granat; Michael Gunson (SIAM/ASA J. Uncertain. Quantification, 2017)

The Atmospheric Infrared Sounder Retrieval, Revisited. - Noel Cressie; Rui Wang; Ben Maloney (IEEE Geosci. Remote. Sens. Lett., 2017)

Multivariate Spatial Data Fusion for Very Large Remote Sensing Datasets. - Hai Nguyen 002; Noel Cressie; Amy Braverman (Remote. Sens., 2017)

Spatial data compression via adaptive dispersion clustering. - Yuliya Marchetti; Hai Nguyen 002; Amy Braverman; Noel Cressie (Comput. Stat. Data Anal., 2018)

On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals. - Andrew Zammit-Mangion; Noel Cressie; Clint Shumack (Remote. Sens., 2018)

Two-scale spatial models for binary data. - Cécile Hardouin; Noel Cressie (Stat. Methods Appl., 2018)

Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior Mean and Covariance, with Application to OCO-2 Retrievals. - Hai Nguyen 002; Noel Cressie; Jonathan Hobbs (Remote. Sens., 2019)

Inference for Errors-in-Variables Models in the Presence of Systematic Errors with an Application to a Satellite Remote Sensing Campaign. - Bohai Zhang; Noel Cressie; Debra Wunch (Technometrics, 2019)

False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data. - Hsin-Cheng Huang; Noel Cressie; Andrew Zammit-Mangion; Guowen Huang (J. Comput. Graph. Stat., 2021)

FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets. - Andrew Zammit-Mangion; Noel Cressie (J. Stat. Softw., 2021)

Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data. - Bohai Zhang; Furong Li; Huiyan Sang; Noel Cressie (Remote. Sens., 2022)

Spatial Bayesian Neural Networks. - Andrew Zammit-Mangion; Michael D. Kaminski; Ba-Hien Tran; Maurizio Filippone; Noel Cressie (CoRR, 2023)

WOMBAT v2.0 estimates of global GPP, respiration, and air-sea fluxes. - Michael Bertolacci; Andrew Zammit-Mangion; Andrew Schuh; Beata Bukosa; Jenny A. Fisher; Yi Cao; Aleya Kaushik; Noel Cressie (Zenodo, 2023)

mbertolacci/wombat-v2-workflow: WOMBAT: A fully Bayesian global flux-inversion framework, version 2.0. - Michael Bertolacci; Andrew Zammit-Mangion; Andrew Schuh; Beata Bukosa; Jenny A. Fisher; Yi Cao; Aleya Kaushik; Noel Cressie (Zenodo, 2023)

Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data. - Joshuah Jacobson; Noel Cressie; Andrew Zammit-Mangion (Remote. Sens., 2023)

Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK. - Matthew Sainsbury-Dale; Andrew Zammit-Mangion; Noel Cressie (J. Stat. Softw., 2024)