Joseph Guinness

A Gaussian-process approximation to a spatial SIR process using moment closures and emulators

Trostle, P., Guinness, J., & Reich, B. J. (2024, July 1). Biometrics, Vol. 80.

Estimating atmospheric motion winds from satellite image data using space‐time drift models

Sahoo, I., Guinness, J., & Reich, B. J. (2023, July 6). Environmetrics, Vol. 7.

Spatial statistical modeling of arsenic accumulation in microsites of diverse soils

Sharma, A., Guinness, J., Muyskens, A., Polizzotto, M. L., Fuentes, M., & Hesterberg, D. (2022, January 13). Geoderma, Vol. 4.

Geostatistical modeling of positive‐definite matrices: An application to diffusion tensor imaging

Lan, Z., Reich, B. J., Guinness, J., Bandyopadhyay, D., Ma, L., & Moeller, F. G. (2021, February 11). Biometrics.

Spatial Shrinkage Via the Product Independent Gaussian Process Prior

Roy, A., Reich, B. J., Guinness, J., Shinohara, R. T., & Staicu, A.-M. (2021, May 4). Journal of Computational and Graphical Statistics, Vol. 6.

Baseline drift estimation for air quality data using quantile trend filtering

Brantley, H. L., Guinness, J., & Chi, E. C. (2020, June 1). The Annals of Applied Statistics, Vol. 14, pp. 585–604.

Multi-element effects on arsenate accumulation in a geochemical matrix determined using µ-XRF, µ-XANES and spatial statistics

Sharma, A., Muyskens, A., Guinness, J., Polizzotto, M. L., Fuentes, M., Tappero, R. V., … Hesterberg, D. (2019, October 22). Journal of Synchrotron Radiation, Vol. 26, pp. 1967–1979.

A TEST FOR ISOTROPY ON A SPHERE USING SPHERICAL HARMONIC FUNCTIONS

Sahoo, I., Guinness, J., & Reich, B. J. (2018, November 23). Statistica Sinica, Vol. 29, pp. 1253–1276.

Permutation and Grouping Methods for Sharpening Gaussian Process Approximations

Guinness, J. (2018, February 12). Technometrics.

Space-Time Geostatistical Assessment of Hypoxia in the Northern Gulf of Mexico

Matli, V. R. R., Fang, S., Guinness, J., Rabalais, N. N., Craig, J. K., & Obenour, D. R. (2018, September 28). Environmental Science & Technology, Vol. 52, pp. 12484–12493.

Compression and Conditional Emulation of Climate Model Output

Journal of the American Statistical Association, 113(521), 56–67.

Fully Bayesian Spectral Methods for Imaging Data

Reich, B. J., Guinness, J., Vandekar, S. N., Shinohara, R. T., & Staicu, A.-M. (2017, September 28). Biometrics, Vol. 74, pp. 645–652.

Optimal Seed Deployment Under Climate Change Using Spatial Models: Application to Loblolly Pine in the Southeastern US

Farjat, A., Reich, B. J., Guinness, J., Whetten, R., McKeand, S., & Isik, F. (2017, July 3). Journal of the American Statistical Association, Vol. 112, pp. 909–920.

An evolutionary spectrum approach to incorporate large-scale geographical descriptors on global processes

Castruccio, S., & Guinness, J. Newcastle University EPrints (Newcastle Univesity).

Circulant Embedding of Approximate Covariances for Inference From Gaussian Data on Large Lattices

Guinness, J., & Fuentes, M. (2016, March 17). Journal of Computational and Graphical Statistics.

Isotropic covariance functions on spheres: Some properties and modeling considerations

Journal of Multivariate Analysis, 143, 143–152.

Likelihood approximations for big nonstationary spatial temporal lattice data

Statistica Sinica, 25(1), 329–349.

Multivariate spatial modeling of conditional dependence in microscale soil elemental composition data

Spatial Statistics, 9(C), 93–108.

Interpolation of nonstationary high frequency spatial–temporal temperature data

Guinness, J., & Stein, M. L. (2013, September 1). The Annals of Applied Statistics.