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Papers by Christopher Wikle

Research paper thumbnail of Bayesian Hierarchical Models to Augment the Mediterranean Forecast System

Research paper thumbnail of Time-varying effects of local weather on behavior and probability of breeding deferral in two Arctic-nesting goose populations

Oecologia

Arctic-nesting geese face energetic challenges during spring migration, including ecological barr... more Arctic-nesting geese face energetic challenges during spring migration, including ecological barriers and weather conditions (e.g., precipitation and temperature), which in long-lived species can lead to a trade-off to defer reproduction in favor of greater survival. We used GPS location and acceleration data collected from 35 greater white-fronted geese of the North American midcontinent and Greenland populations at spring migration stopovers, and novel applications of Bayesian dynamic linear models to test daily effects of minimum temperature and precipitation on energy expenditure (i.e., overall dynamic body acceleration, ODBA) and proportion of time spent feeding (PTF), then examined the daily and additive importance of ODBA and PTF on probability of breeding deferral using stochastic antecedent models. We expected distinct responses in behavior and probability of breeding deferral between and within populations due to differences in stopover area availability. Time-varying coef...

Research paper thumbnail of Using Echo State Networks to Inform Physical Models for Fire Front Propagation

arXiv (Cornell University), Feb 9, 2023

Research paper thumbnail of Bayesian Hierarchical Models For Multi-type Survey Data Using Spatially Correlated Covariates Measured With Error

arXiv (Cornell University), Nov 17, 2022

Research paper thumbnail of A Review of Data-Driven Discovery for Dynamic Systems

arXiv (Cornell University), Oct 19, 2022

Research paper thumbnail of A Bayesian Spatio-Temporal Level Set Dynamic Model and Application to Fire Front Propagation

arXiv (Cornell University), Oct 26, 2022

Research paper thumbnail of Artificial Intelligence to Aid Glaucoma Diagnosis and Monitoring: State of the Art and New Directions

Photonics

Recent developments in the use of artificial intelligence in the diagnosis and monitoring of glau... more Recent developments in the use of artificial intelligence in the diagnosis and monitoring of glaucoma are discussed. To set the context and fix terminology, a brief historic overview of artificial intelligence is provided, along with some fundamentals of statistical modeling. Next, recent applications of artificial intelligence techniques in glaucoma diagnosis and the monitoring of glaucoma progression are reviewed, including the classification of visual field images and the detection of glaucomatous change in retinal nerve fiber layer thickness. Current challenges in the direct application of artificial intelligence to further our understating of this disease are also outlined. The article also discusses how the combined use of mathematical modeling and artificial intelligence may help to address these challenges, along with stronger communication between data scientists and clinicians.

Research paper thumbnail of A Bayesian Approach for Spatio-Temporal Data-Driven Dynamic Equation Discovery

arXiv (Cornell University), Sep 6, 2022

Research paper thumbnail of Precision medicine and glaucoma management: how mathematical modeling and artificial intelligence help in clinical practice

Expert Review of Ophthalmology

Research paper thumbnail of Statistical Deep Learning for Spatial and Spatio-Temporal Data

arXiv (Cornell University), Jun 5, 2022

Research paper thumbnail of A Bayesian Approach for Data-Driven Dynamic Equation Discovery

Journal of Agricultural, Biological and Environmental Statistics

Research paper thumbnail of Vizumap: an R package for visualising uncertainty in spatial data

Journal of Open Source Software

Research paper thumbnail of Evaluating Spatio-Temporal Statistical Models

Spatio-Temporal Statistics with R, 2019

Research paper thumbnail of Spatio-Temporal Statistical Models

Spatio-Temporal Statistics with R, 2019

Research paper thumbnail of Descriptive Spatio-Temporal Statistical Models

Spatio-Temporal Statistics with R, 2019

Research paper thumbnail of Ensemble Kalman Filter

Wiley StatsRef: Statistics Reference Online, 2018

Research paper thumbnail of Statistics in Oceanography

Research paper thumbnail of Corn yield response to subsurface drainage water recycling in the midwestern United States

Agronomy Journal, 2021

Drainage water recycling (DWR) involves capture, storage, and reuse of surface and subsurface dra... more Drainage water recycling (DWR) involves capture, storage, and reuse of surface and subsurface drainage water as irrigation to enhance crop production during critical times of the growing season. Our objectives were to synthesize 53 site‐years of data from 1996 to 2017 in the midwestern United States to determine the effect of DWR using primarily subirrigation on corn (Zea mays L.) grain yield and yield variability and to identify precipitation factors at key stages of corn development (V1–V8, V9–VT, R1–R2, R3–R4, and R5–R6) that correlated to an increase in yield with DWR. A generalized additive model was used to quantify and characterize the relationship between precipitation and corn grain yield during corn development stages and to determine if that relationship differed between DWR and free drainage (FD). Corn yield response to precipitation was generally similar between DWR and FD, except during the critical period of V9–R2, in which DWR was more resilient to precipitation extr...

Research paper thumbnail of On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi‐annual harmonics

Research paper thumbnail of Measuring, mapping, and uncertainty quantification in the space-time cube

Revista Matemática Complutense, 2020

Research paper thumbnail of Bayesian Hierarchical Models to Augment the Mediterranean Forecast System

Research paper thumbnail of Time-varying effects of local weather on behavior and probability of breeding deferral in two Arctic-nesting goose populations

Oecologia

Arctic-nesting geese face energetic challenges during spring migration, including ecological barr... more Arctic-nesting geese face energetic challenges during spring migration, including ecological barriers and weather conditions (e.g., precipitation and temperature), which in long-lived species can lead to a trade-off to defer reproduction in favor of greater survival. We used GPS location and acceleration data collected from 35 greater white-fronted geese of the North American midcontinent and Greenland populations at spring migration stopovers, and novel applications of Bayesian dynamic linear models to test daily effects of minimum temperature and precipitation on energy expenditure (i.e., overall dynamic body acceleration, ODBA) and proportion of time spent feeding (PTF), then examined the daily and additive importance of ODBA and PTF on probability of breeding deferral using stochastic antecedent models. We expected distinct responses in behavior and probability of breeding deferral between and within populations due to differences in stopover area availability. Time-varying coef...

Research paper thumbnail of Using Echo State Networks to Inform Physical Models for Fire Front Propagation

arXiv (Cornell University), Feb 9, 2023

Research paper thumbnail of Bayesian Hierarchical Models For Multi-type Survey Data Using Spatially Correlated Covariates Measured With Error

arXiv (Cornell University), Nov 17, 2022

Research paper thumbnail of A Review of Data-Driven Discovery for Dynamic Systems

arXiv (Cornell University), Oct 19, 2022

Research paper thumbnail of A Bayesian Spatio-Temporal Level Set Dynamic Model and Application to Fire Front Propagation

arXiv (Cornell University), Oct 26, 2022

Research paper thumbnail of Artificial Intelligence to Aid Glaucoma Diagnosis and Monitoring: State of the Art and New Directions

Photonics

Recent developments in the use of artificial intelligence in the diagnosis and monitoring of glau... more Recent developments in the use of artificial intelligence in the diagnosis and monitoring of glaucoma are discussed. To set the context and fix terminology, a brief historic overview of artificial intelligence is provided, along with some fundamentals of statistical modeling. Next, recent applications of artificial intelligence techniques in glaucoma diagnosis and the monitoring of glaucoma progression are reviewed, including the classification of visual field images and the detection of glaucomatous change in retinal nerve fiber layer thickness. Current challenges in the direct application of artificial intelligence to further our understating of this disease are also outlined. The article also discusses how the combined use of mathematical modeling and artificial intelligence may help to address these challenges, along with stronger communication between data scientists and clinicians.

Research paper thumbnail of A Bayesian Approach for Spatio-Temporal Data-Driven Dynamic Equation Discovery

arXiv (Cornell University), Sep 6, 2022

Research paper thumbnail of Precision medicine and glaucoma management: how mathematical modeling and artificial intelligence help in clinical practice

Expert Review of Ophthalmology

Research paper thumbnail of Statistical Deep Learning for Spatial and Spatio-Temporal Data

arXiv (Cornell University), Jun 5, 2022

Research paper thumbnail of A Bayesian Approach for Data-Driven Dynamic Equation Discovery

Journal of Agricultural, Biological and Environmental Statistics

Research paper thumbnail of Vizumap: an R package for visualising uncertainty in spatial data

Journal of Open Source Software

Research paper thumbnail of Evaluating Spatio-Temporal Statistical Models

Spatio-Temporal Statistics with R, 2019

Research paper thumbnail of Spatio-Temporal Statistical Models

Spatio-Temporal Statistics with R, 2019

Research paper thumbnail of Descriptive Spatio-Temporal Statistical Models

Spatio-Temporal Statistics with R, 2019

Research paper thumbnail of Ensemble Kalman Filter

Wiley StatsRef: Statistics Reference Online, 2018

Research paper thumbnail of Statistics in Oceanography

Research paper thumbnail of Corn yield response to subsurface drainage water recycling in the midwestern United States

Agronomy Journal, 2021

Drainage water recycling (DWR) involves capture, storage, and reuse of surface and subsurface dra... more Drainage water recycling (DWR) involves capture, storage, and reuse of surface and subsurface drainage water as irrigation to enhance crop production during critical times of the growing season. Our objectives were to synthesize 53 site‐years of data from 1996 to 2017 in the midwestern United States to determine the effect of DWR using primarily subirrigation on corn (Zea mays L.) grain yield and yield variability and to identify precipitation factors at key stages of corn development (V1–V8, V9–VT, R1–R2, R3–R4, and R5–R6) that correlated to an increase in yield with DWR. A generalized additive model was used to quantify and characterize the relationship between precipitation and corn grain yield during corn development stages and to determine if that relationship differed between DWR and free drainage (FD). Corn yield response to precipitation was generally similar between DWR and FD, except during the critical period of V9–R2, in which DWR was more resilient to precipitation extr...

Research paper thumbnail of On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi‐annual harmonics

Research paper thumbnail of Measuring, mapping, and uncertainty quantification in the space-time cube

Revista Matemática Complutense, 2020