Yawen Guan

Works (6)

Updated: January 2nd, 2024 09:04

2022 journal article

Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin

Biometrics, 78(4), 1291–1294.

By: B. Reich n , S. Yang n  & Y. Guan*

Contributors: B. Reich n , S. Yang n  & Y. Guan*

MeSH headings : Models, Statistical
topics (OpenAlex): Spatial and Panel Data Analysis; Economic and Environmental Valuation; Statistical Methods and Bayesian Inference
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Sources: Web Of Science, NC State University Libraries, ORCID, Crossref
Added: April 8, 2022

2020 article

Integrative statistical methods for exposure mixtures and health

Reich, B. J., Guan, Y., Fourches, D., Warren, J. L., Sarnat, S. E., & Chang, H. H. (2020, December 1). The Annals of Applied Statistics, Vol. 14, pp. 1945–1963.

By: B. Reich n , Y. Guan*, D. Fourches n, J. Warren *, S. Sarnat* & H. Chang *

Contributors: B. Reich n , Y. Guan*, D. Fourches n, J. Warren *, S. Sarnat* & H. Chang *

author keywords: Cheminformatics; collinearity; factor analysis; principal components; stochastic search; variable selection
topics (OpenAlex): Air Quality and Health Impacts; Risk and Safety Analysis
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: March 1, 2021

2020 article

Statistical Downscaling with Spatial Misalignment: Application to Wildland Fire $$\hbox {PM}_{2.5}$$ Concentration Forecasting

Majumder, S., Guan, Y., Reich, B. J., Susan, O. N., & Rappold, A. G. (2020, October 15). Journal of Agricultural Biological and Environmental Statistics.

By: S. Majumder n, Y. Guan*, B. Reich n , O. Susan * & A. Rappold*

Contributors: S. Majumder n, Y. Guan*, B. Reich n , S. O'Neill * & A. Rappold*

author keywords: Image registration; Public health; Smoothing; Warping
topics (OpenAlex): Atmospheric and Environmental Gas Dynamics; Climate variability and models; Climate Change and Health Impacts
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2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: November 2, 2020

2019 article

Computer Model Calibration Based on Image Warping Metrics: An Application for Sea Ice Deformation

Guan, Y., Sampson, C., Tucker, J. D., Chang, W., Mondal, A., Haran, M., & Sulsky, D. (2019, February 7). Journal of Agricultural Biological and Environmental Statistics.

By: Y. Guan n, C. Sampson *, J. Tucker *, W. Chang *, A. Mondal *, M. Haran *, D. Sulsky*

author keywords: Arctic sea ice; Calibration; Emulation; Gaussian process; Image registration
topics (OpenAlex): Arctic and Antarctic ice dynamics; Climate change and permafrost; Cryospheric studies and observations
TL;DR: A statistical emulation and calibration framework that accounts for feature misalignment and misshapenness is developed, which involves optimally aligning model output with observed features using cutting-edge image registration techniques. (via Semantic Scholar)
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14. Life Below Water (OpenAlex)
Source: Web Of Science
Added: September 16, 2019

2019 article

Fine-Scale Spatiotemporal Air Pollution Analysis Using Mobile Monitors on Google Street View Vehicles

Guan, Y., Johnson, M. C., Katzfuss, M., Mannshardt, E., Messier, K. P., Reich, B. J., & Song, J. J. (2019, September 26). Journal of the American Statistical Association.

By: Y. Guan n, M. Johnson n, M. Katzfuss*, E. Mannshardt*, K. Messier*, B. Reich n , J. Song*

Contributors: Y. Guan n, M. Johnson n, M. Katzfuss*, E. Mannshardt*, K. Messier*, B. Reich n , J. Song*

author keywords: Google Street View Air Quality Data; Kriging; Mobile sensors; Spatiotemporal models; Vecchia approximation
topics (OpenAlex): Air Quality Monitoring and Forecasting; Air Quality and Health Impacts; Vehicle emissions and performance; Atmospheric chemistry and aerosols
TL;DR: A computationally efficient spatiotemporal model is developed for publicly available, fine-scale, high-quality air pollution measurements acquired using mobile monitors to provide real-time air pollution maps and short-term air quality forecasts on a fine-resolution spatial scale. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: October 28, 2019

2019 article

MIMIX: A Bayesian Mixed-Effects Model for Microbiome Data From Designed Experiments

Grantham, N. S., Guan, Y., Reich, B. J., Borer, E. T., & Gross, K. (2019, June 3). Journal of the American Statistical Association.

By: N. Grantham n, Y. Guan n, B. Reich n , E. Borer * & K. Gross n

Contributors: N. Grantham n, Y. Guan n, B. Reich n , E. Borer * & K. Gross n

author keywords: Continuous shrinkage prior; Factor analysis; Microbiome; Mixed model; Nutrient Network; OTU abundance data
topics (OpenAlex): Gut microbiota and health; Metabolomics and Mass Spectrometry Studies; Meta-analysis and systematic reviews
TL;DR: A novel Bayesian mixed-effects model that exploits cross-taxa correlations within the microbiome, a model the authors call microbiome mixed model (MIMIX), tailored to large microbiome experiments using a combination of Bayesian factor analysis to efficiently represent dependence between taxa and Bayesian variable selection methods to achieve sparsity. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: July 22, 2019

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