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Statistics is the science of inferring knowledge from data and describing uncertainty in those inferences. It plays a central role in scientific research, social policy, and governance. The Department of Statistics has a world-class record of success in education, research and service and has an out-sized impact on campus because of its engagement in educating students in all disciplines and interdisciplinary research. Learn more about our applied and interdisciplinary research impact as well as our long list of research collaborations and interactions here.

Faculty Research Areas

Jay Breidt

Statistics + Probability Research
  • Time series and spatio-temporal modeling
  • Theory and methods of survey statistics
  • Nonparametric regression
  • Uncertainty quantification
Applied + Interdisciplinary Research
  • Environmental resource inventories
  • Greenhouse gas inventory and the carbon cycle
  • Ecological process models
  • Biochemistry
  • Geological sciences

Dan Cooley

Statistics + Probability Research
  • Extreme value analysis
  • Tail dependence
  • Risk of rare events
  • Heavy tails
  • Modeling
Applied + Interdisciplinary Research
  • Atmospheric science
  • Climate modeling
  • Energy-related environmental research

Kirsten Eilertson

Statistics + Probability Research
  • Applied statistics
  • Generalized linear mixed models
  • Latent variable and state space models
Applied + Interdisciplinary Research
  • Behavioral neuroscience
  • Biomechanics
  • Functional genomics
  • Quantitative epidemiology
  • Generally public heath and medicine

Don Estep

Statistics + Probability Research
  • Uncertainty quantification
  • Error estimation
  • Stochastic sensitivity analysis
  • Stochastic inverse problems
  • Adaptive computational methods
  • Inverse problems for geometry
  • Multiscale modeling
Applied + Interdisciplinary Research
  • Hurricane forecasting
  • LIGO data for black holes
  • Material science
  • Flow in porous media
  • Energy applications
  • Networks
  • Electromagnetic scattering

Bailey Fosdick

Statistics + Probability Research
  • Statistical analysis of networks
  • Bayesian methodology
  • Methods for survey analysis
  • Multivariate analysis
Applied + Interdisciplinary Research
  • Social sciences
  • Population on ecology
  • Science of team science
  • STEM education

Ann Hess

Statistics + Probability Research
  • Applied linear models
  • Bioinformatics and statistical collaboration
Applied + Interdisciplinary Research
  • Applied statistics and biostatistics across a broad range

Jennifer Hoeting

Statistics + Probability Research
  • Bayesian statistics
  • Spatial statistics
  • Computational statistics
  • Model selection and uncertainty
Applied + Interdisciplinary Research
  • Statistical ecology
  • Human and wildlife diseases
  • Spatial ecology
  • Climate science

Andee Kaplan

Statistics + Probability Research
  • Computationally scalable statistics methods
  • Record linkage (Entity resolution or de-duplication)
  • Markov chain monte carlo (MCMC)
  • Network analysis
  • Spatial re-sampling and generalized statistical machine learning methods
  • Interactive statistical graphics
  • Reproducible research
Applied + Interdisciplinary Research
  • Social sciences
  • Data with network structures
  • Multiple source data

Mevin Hooten

Statistics + Probability Research
  • Bayesian methodology and computing
  • Spatial and spatio-temporal statistics
  • Point process modeling
  • Hierarchical modeling using mathematical and statistical dynamical processes
Applied + Interdisciplinary Research
  • Ecological and environmental animal movement modeling
  • Disease ecology
  • Invasive species
  • Spatial ecology
  • Species distribution models

Josh Keller

Statistics + Probability Research
  • Environmental biostatistics
  • Spatiotemporal modeling
  • Measurement error
  • Spatial confounding
  • Hierarchical models
Applied + Interdisciplinary Research
  • Public health
  • Air pollution epidemiology
  • Environmental engineering
  • Infectious disease

Piotr Kokoszka

Statistics + Probability Research
  • Models for dependent data
  • Asymptotic theory
  • Functional data analysis
  • Time series
  • Spatio-temporal statistics
  • Change point analysis
  • Extreme value theory and heavy tails
Applied + Interdisciplinary Research
  • Finance
  • Climate science
  • Physical networks
  • Space physics

Mary Meyer

Statistics + Probability Research
  • Nonparametric function estimation with constraints involving shapes and orderings with likelihood-based inference methods
  • Generalized additive models
  • Robust regression
Applied + Interdisciplinary Research
  • Discrete choice models in economics
  • Shape selection in forestry models

Ben Shaby

Statistics + Probability Research
  • Spatial statistics
  • Bayesian modeling
  • Bayesian computation
  • Extreme values
Applied + Interdisciplinary Research
  • Climate and weather
  • Geophysics
  • Neurodegenerative diseases like Alzheimer’s and ALS
  • High-throughput biological data

Julia Sharp

Statistics + Probability Research
  • Statistical consulting
  • Statistical applications
  • Experimental design and analysis
  • Mixed effects models
Applied + Interdisciplinary Research
  • Public health
  • Nutrition
  • Food science
  • Agricultural studies
  • Life sciences
  • Proteomics

Haonan Wang

Statistics + Probability Research
  • Object oriented data analysis
  • Functional data analysis
  • Functional dynamic modeling
  • Spatial and spatiotemporal modeling
  • Statistical learning for big data
  • Time series
  • Statistical modeling for complex networks
Applied + Interdisciplinary Research
  • Neuroscience
  • Communication networks
  • Sensor data

Zach Weller

Statistics + Probability Research
  • Bayesian statistics
  • Spatial statistics
  • Non-parametric statistics
Applied + Interdisciplinary Research
  • Applications in biology, ecology, energy, environmental issues and wildlife management

Ander Wilson

Statistics + Probability Research
  • Bayesian statistics
  • Confounder selection and model uncertainty
  • Functional regression
  • Environmental statistics
Applied + Interdisciplinary Research
  • Public health
  • Environmental epidemiology
  • Air pollution epidemiology
  • Children’s health

Wen Zhou

Statistics + Probability Research
  • High dimensional inference
  • Statistical machine learning
  • Graphical modeling
  • Statistical genomics and genetics
  • Bioinformatics
  • Inverse problems
  • Multivariate time series
Applied + Interdisciplinary Research
  • Genetics and genomics
  • Proteomics and structure biology
  • Omics analysis
  • Integrative analysis
  • System biology
  • Econometrics and finance

DEPARTMENT NEWS

NYC utility improves safety of natural gas pipelines, thanks to CSU science

Research that uses Google Street View cars to map natural gas methane leaks is helping the nation’s largest metropolitan area prioritize tens of millions of dollars in infrastructure upgrades.

GRANT AWARD: Next-generation biofuels with modified algae

Graham Peers and Wen Zhou will investigate next-generation biofuels and bioproducts using photosynthetic microalgae called diatoms.

Tracking drives innovation in animal movement analysis

Mevin Hooten was guest editor of a special scientific journal issue on animal movement modeling.

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