Erin Schliep
Erin Schliep
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Cited by
Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification
EM Hanks, EM Schliep, MB Hooten, JA Hoeting
Environmetrics 26 (4), 243-254, 2015
Spatial statistics and Gaussian processes: A beautiful marriage
AE Gelfand, EM Schliep
Spatial Statistics 18, 86-104, 2016
A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling
EM Schliep, D Cooley, SR Sain, JA Hoeting
Extremes 13, 219-239, 2010
Joint species distribution modeling: dimension reduction using Dirichlet processes
D Taylor-Rodríguez, K Kaufeld, EM Schliep, JS Clark, AE Gelfand
Joint species distribution modelling for spatio‐temporal occurrence and ordinal abundance data
EM Schliep, NK Lany, PL Zarnetske, RN Schaeffer, CM Orians, DA Orwig, ...
Global Ecology and Biogeography 27 (1), 142-155, 2018
Multilevel latent Gaussian process model for mixed discrete and continuous multivariate response data
EM Schliep, JA Hoeting
Journal of Agricultural, Biological, and Environmental Statistics 18, 492-513, 2013
A data fusion approach for spatial analysis of speciated PM2.5 across time
CW Rundel, EM Schliep, AE Gelfand, DM Holland
Environmetrics 26 (8), 515-525, 2015
Seasonal temperature–moisture interactions limit seedling establishment at upper treeline in the Southern Rockies
SN Bailey, GP Elliott, EM Schliep
Ecosphere 12 (6), e03568, 2021
Data augmentation and parameter expansion for independent or spatially correlated ordinal data
EM Schliep, JA Hoeting
Computational statistics & data analysis 90, 1-14, 2015
Improved understanding and prediction of freshwater fish communities through the use of joint species distribution models
T Wagner, GJA Hansen, EM Schliep, BJ Bethke, AE Honsey, ...
Canadian Journal of Fisheries and Aquatic Sciences 77 (9), 1540-1551, 2020
Identifying and characterizing extrapolation in multivariate response data
ML Bartley, EM Hanks, EM Schliep, PA Soranno, T Wagner
PloS one 14 (12), e0225715, 2019
Asymmetric biotic interactions and abiotic niche differences revealed by a dynamic joint species distribution model
NK Lany, PL Zarnetske, EM Schliep, RN Schaeffer, CM Orians, DA Orwig, ...
Ecology 99 (5), 1018-1023, 2018
Autoregressive spatially varying coefficients model for predicting daily PM2.5 using VIIRS satellite AOT
EM Schliep, AE Gelfand, DM Holland
Advances in Statistical Climatology, Meteorology and Oceanography 1 (1), 59-74, 2015
Bayesian inference and computing for spatial point patterns
AE Gelfand, EM Schliep
NSF-CBMS regional conference series in probability and statistics 10, i-125, 2018
Stochastic modeling for velocity of climate change
EM Schliep, AE Gelfand, JS Clark
Journal of Agricultural, Biological, and Environmental Statistics 20, 323-342, 2015
Combining nutrient, productivity, and landscape‐based regressions improves predictions of lake nutrients and provides insight into nutrient coupling at macroscales
T Wagner, EM Schliep
Limnology and Oceanography 63 (6), 2372-2383, 2018
Predicting climate change impacts on poikilotherms using physiologically guided species abundance models
T Wagner, EM Schliep, JS North, H Kundel, CA Custer, JK Ruzich, ...
Proceedings of the National Academy of Sciences 120 (15), e2214199120, 2023
Ecological prediction at macroscales using big data: Does sampling design matter?
PA Soranno, KS Cheruvelil, B Liu, Q Wang, PN Tan, J Zhou, KBS King, ...
Ecological Applications 30 (6), e02123, 2020
Assessing the joint behaviour of species traits as filtered by environment
EM Schliep, AE Gelfand, RM Mitchell, ME Aiello‐Lammens, JA Silander Jr
Methods in Ecology and Evolution 9 (3), 716-727, 2018
Is body appreciation a mechanism of depression and anxiety? An investigation of the 3-Dimensional Body Appreciation Mapping (3D-BAM) intervention
VR Winter, AM Landor, M Teti, K Morris, EM Schliep, ...
Mental Health & Prevention 14, 200158, 2019
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