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Erin M. Schliep, Ph.D.

Affiliations: 
2013 Statistics Colorado State University, Fort Collins, CO 
Area:
Statistics
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"Erin Schliep"
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Jennifer Hoeting grad student 2013 Colorado State
 (Spatial probit models for multivariate ordinal data: Computational efficiency and parameter identifiability.)

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Soranno PA, Cheruvelil KS, Liu B, et al. (2020) Ecological prediction at macroscales using big data: Does sampling design matter? Ecological Applications : a Publication of the Ecological Society of America. e02123
Wagner T, Hansen GJA, Schliep EM, et al. (2020) Improved understanding and prediction of freshwater fish communities through the use of joint species distribution models Canadian Journal of Fisheries and Aquatic Sciences. 77: 1540-1551
Bartley ML, Hanks EM, Schliep EM, et al. (2019) Identifying and characterizing extrapolation in multivariate response data. Plos One. 14: e0225715
Schliep EM, Gelfand AE. (2019) Velocities for spatio-temporal point patterns Spatial Statistics. 29: 204-225
Stanley EH, Rojas‐Salazar S, Lottig NR, et al. (2019) Comparison of total nitrogen data from direct and Kjeldahl‐based approaches in integrated data sets Limnology and Oceanography: Methods. 17: 639-649
Schliep EM, Gelfand AE, Holland DM. (2018) Alternating Gaussian Process Modulated Renewal Processes for Modeling Threshold Exceedances and Durations. Stochastic Environmental Research and Risk Assessment : Research Journal. 32: 401-417
Lany NK, Zarnetske PL, Schliep EM, et al. (2018) Asymmetric biotic interactions and abiotic niche differences revealed by a dynamic joint species distribution model. Ecology
Schliep EM, Gelfand AE, Clark JS, et al. (2018) Joint Temporal Point Pattern Models for Proximate Species Occurrence in a Fixed Area Using Camera Trap Data Journal of Agricultural, Biological and Environmental Statistics. 23: 334-357
Schliep EM. (2018) Comments on: Process modeling for slope and aspect with application to elevation data maps Test. 27: 778-782
Taylor-Rodríguez D, Kaufeld K, Schliep EM, et al. (2017) Joint Species Distribution Modeling: Dimension Reduction Using Dirichlet Processes Bayesian Analysis. 12: 939-967
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