Office:
Phone: (000) 000-0000
Google Scholar: https://scholar.google.com/citations?user=i-PzBId6al0C&hl=en&oi=ao
Education
- 1991: PhD, Statistics, Colorado State University
- 1989: MS, Statistics, Colorado State University
- 1987: BA, Mathematics and English Literature, The College of Idaho
About
Jay Breidt, Professor and past Chair of the Department of Statistics at Colorado State University, has expertise in survey sampling, time series, nonparametric regression, and uncertainty quantification for complex scientific models. He received his PhD at Colorado State University in 1991 and spent the first nine years of his career at Iowa State University as an assistant professor and tenured associate professor, before returning to Colorado State in 2000. Breidt has an extensive record of refereed publications. He has presented over 130 invited short courses, conference talks, and academic seminars. Since 1991, his research has been supported continuously by a variety of agencies including the National Science Foundation, National Institutes of Health, Department of Homeland Security, Environmental Protection Agency, US Forest Service, and NASA. Breidt is the Reviews Editor for the Journal of the American Statistical Association and The American Statistician, and has been an associate editor for seven different journals. He serves on the US Bureau of the Census Scientific Advisory Committee and has served on six review committees for the National Academy of Sciences. He is past Chair of the American Statistical Association National Committee on Energy Statistics (an advisory panel for the Energy Information Administration, US Department of Energy) and has served two terms on the Federal Economic Statistics Advisory Committee. Breidt has received numerous honors, including recognition with a national prize in environmental statistics, elected membership in the International Statistical Institute, and elected fellowship in the American Statistical Association and the Institute of Mathematical Statistics. Breidt teaches courses at all levels in statistical theory and methods and currently serves as Undergraduate Director for the Department of Statistics.
Publications
- Resource Efficient Profiling of Spatial Variability in Performance of Regression Models Proceedings of the IEEE International Conference on Big Data (IEEE BigData), 2022.
- Attention-Based Convolutional Capsules for Evapotranspiration Estimation at Scale Environmental Modelling and Software, 2022.
- climate and Soil characteristics Determine Where no-till Management can Store carbon in Soils and Mitigate Greenhouse Gas emissions Scientific reports, 1, 2019.
- Estimation of fish consumption rates based on a creel angler survey of an urban river in New Jersey, USA Human and Ecological Risk Assessment: An International Journal, 2019.
- Large scale maximum average power multiple inference on time-course count data with application to RNA-seq analysis Biometrics, 2019.
- Minimum Mean Squared Error Estimation of the Radius of Gyration in Small-Angle X-Ray Scattering Experiments Journal of the American Statistical Association, 525, 2019.
- Large scale maximum average power multiple inference on time course data of counts and applications to RNA-seq analysis Biometrics.
- Model-assisted survey estimation with imperfectly matched auxiliary dataInternational Conference of the Thailand Econometrics Society Springer, 2018.
- Pilot surveys to improve monitoring of marine recreational fisheries in Hawaiʻi Fisheries research, 2018.
- Understanding the drivers of sensitive behavior using Poisson regression from quantitative randomized response technique data PloS one, 9, 2018.
- Asymptotics for the maximum sample likelihood estimator under informative selection from a finite population Bernoulli, 2, 2017.
- Improved Bayesian Inference in the General Projected Normal Distribution of Arbitrary Dimension: Modeling and Bayesian Inference Bayesian Analysis, 1, 2017.
- Kernel estimation for a superpopulation probability density function under informative selection Metron, 3, 2017.
- Model-Assisted Survey Estimation with Modern Prediction Techniques Statistical Science, 2, 2017.
- Model-assisted survey regression estimation with the lasso Journal of Survey Statistics and Methodology , 2, 2017.
- Sparse Functional Dynamical Models—A Big Data Approach Journal of Computational and Graphical Statistics, 2, 2017.
- The general projected normal distribution of arbitrary dimension: modeling and Bayesian inference Bayesian Analysis, 1, 2017.
- Hierarchical Bayesian small area estimation for circular data Canadian Journal of Statistics, 4, 2016.
- Laplace Variational Approximation for Semiparametric Regression in the Presence of Heteroscedastic Errors Journal of Computational and Graphical Statistics, 1, 2016.
- Nonparametric Regression Methods for Small Area Estimation Analysis of Poverty Data by Small Area Estimation, 2016.
- Nonparametric variance estimation under fine stratification: an alternative to collapsed strata Journal of the American Statistical Association, 2016.
- Pilot Surveys of Shore Fishing on Oahu, Hawaii Proceedings of the Survey Research Methods Section, American Statistical Association, 2016.
- Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete eventsimulations Future Generation Computer Systems, 2016.
- Successive Difference Replication Variance Estimation in Two-Phase Sampling Journal of Survey Statistics and Methodology, 1, 2016.
- Variational Approximations for Selecting Hierarchical Models of Circular Data in a Small Area Estimation Application STATISTICS IN TRANSITION new series and SURVEY METHODOLOGY, 2016.
- An approach for verifying biogenic greenhouse gas emissions inventories with atmospheric CO2 concentration data Environmental Research Letters, 3, 2015.
- An approach for verifying biogenic greenhouse gas emissions inventories with atmospheric CO2 concentration data Environmental Research Letters, 2015.
- Improved Estimation of the Radius of Gyration from Small-Angle X-Ray Scattering Data Colorado State University. Libraries, 2015.
- Statistical approaches for analyzing randomized response technique data Biological Conservation, 187, 2015.
- Quantifying greenhouse gas sources and sinks in cropland and grazing land systems Quantifying greenhouse gas fluxes in agriculture and forestry: methods for entity-scale inventory. Office of the Chief Economist, US Department of agriculture, Washington DC. Technical Bulletin, 1939, 2014.
- Using distributed analytics to enable real-time exploration of discrete event simulationsUtility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on IEEE, 2014.
- A constrained least-squares approach to combine bottom-up and top-down CO2 flux estimates Environmental and ecological statistics, 1, 2013.
- Advancing national greenhouse gas inventories for agriculture in developing countries: improving activity data, emission factors and software technology Environmental Research Letters, 1, 2013.
- Nonparametric endogenous post-stratification estimation Statistica Sinica, 2013.
- Survey design asymptotics for the model-assisted penalised spline regression estimator Journal of Nonparametric Statistics, 3, 2013.
- Functional model selection for sparse binary time series with multiple inputs Economic time series: Modeling and seasonality. Boca Raton: Chapman and Hall/CRC, 2012.
- Penalized balanced sampling Biometrika, 4, 2012.
- Simulation estimation of quantiles from a distribution with known mean Journal of Computational and Graphical Statistics, 2012.
- Uniform convergence of the empirical cumulative distribution function under informative selection from a finite population Bernoulli, 4, 2012.
- Designing a national soil carbon monitoring network to support climate change policy: a case example for US agricultural lands Greenhouse Gas Measurement and Management, 3-4, 2011.
- Improved variance estimation for balanced samples drawn via the cube method Journal of Statistical Planning and Inference, 1, 2011.
- Nonparametric Regression Using Kernel and Spline MethodsInternational Encyclopedia of Statistical Science Springer Berlin Heidelberg, 2011.
- A report of the MRIP sampling and estimation project: improved estimation methods for the Access Point Angler Intercept Survey component of the Marine Recreational Fishery Statistics Survey NOAA Fisheries Contract Report, Silver Spring, MD, 2010.
- Estimating uncertainty in N2O emissions from US cropland soils Global Biogeochemical Cycles, 1, 2010.
- Scale and uncertainty in modeled soil organic carbon stock changes for US croplands using a process-based model Global Change Biology, 2, 2010.
- Spatial LASSO with applications to GIS model selection Journal of Computational and Graphical Statistics, 4, 2010.
- Estimation of the Population Total using the Generalized Difference Estimator and Wilcoxon Ranks Revista Colombiana de Estadística, 1, 2009.
- Exact maximum likelihood estimation for non-Gaussian moving averages Statistica Sinica, 2009.
- Nonparametric and semiparametric estimation in complex surveys Handbook of Statistics, 2009.
- Predicting Enhanced Vegetation Index (EVI) curves for ecosystem modeling applications Remote Sensing of Environment, 10, 2009.
- A diagnostic test for autocorrelation in increment-averaged data with application to soil sampling Environmental and Ecological Statistics, 1, 2008.
- Endogenous post-stratification in surveys: classifying with a sample-fitted model The annals of statistics, 2008.
- Estimating distribution functions from survey data using nonparametric regression Journal of Statistical Theory and Practice, 3, 2008.
- Heteroskedastic Spatial Models with Applications in Computer Experiments2008.
- Non-parametric small area estimation using penalized spline regression Journal of the Royal Statistical Society: Series B (Statistical Methodology), 1, 2008.
- An empirically based approach for estimating uncertainty associated with modelling carbon sequestration in soils Ecological Modelling, 3, 2007.
- Deriving comprehensive county-level crop yield and area data for US cropland Agronomy journal, 3, 2007.
- Model-assisted estimation of forest resources with generalized additive models Journal of the American Statistical Association, 478, 2007.
- Rank-based estimation for all-pass time series models The Annals of Statistics, 2007.
- Semiparametric mixed models for increment-averaged data with application to carbon sequestration in agricultural soils Journal of the American Statistical Association, 479, 2007.
- Semiparametric model-assisted estimation for natural resource surveys Survey Methodology, 1, 2007.
- Struggles with Survey Weighting and Regression Modeling. Comment. Statistical science, 2, 2007.
- Bias and variance in model results associated with spatial scaling of measurements for parameterization in regional assessments Global Change Biology, 3, 2006.
- Controlling the American Community Survey to intercensal population estimates Journal of Economic and Social Measurement, 3-4, 2006.
- Maximum likelihood estimation for all-pass time series models Journal of Multivariate Analysis, 7, 2006.
- Pile-up probabilities for the Laplace likelihood estimator of a non-invertible first order moving averageTime Series and Related Topics Institute of Mathematical Statistics, 2006.
- Agricultural management impacts on soil organic carbon storage under moist and dry climatic conditions of temperate and tropical regions Biogeochemistry, 1, 2005.
- Best mean square prediction for moving averages Statistica Sinica, 2005.
- Diseno de redes de vigilancia de suelos: algunas perspectivas de Estados UnidosProtección del suelo y el desarrollo sostenible: Seminario Europeo: Soria, 15-17 de mayo de 20022005.
- Model-assisted estimation for complex surveys using penalised splines Biometrika, 4, 2005.
- The potential to mitigate global warming with no-tillage management is only realized when Issue: Global Change Biology, 10 (2), 2004.
- Bayesian analysis of fractionally integrated ARMA with additive noise Journal of Forecasting, 6-7, 2003.
- Nonparametric regression estimation of finite population totals under two-stage sampling preprint, 2003.
- Parameter estimation for all-pass time series models2003.
- A class of nearly long-memory time series models International Journal of forecasting, 2, 2002.
- A hierarchical model for estimating distribution profiles of soil textureCase studies in Bayesian statistics Springer New York, 2002.
- Endogenous post-stratification in surveys: classifying with a sample fitted model Preprint Series, 02-23, 2002.
- Television advertising and beef demand: Bayesian inference in a random effects Tobit model Canadian Journal of Agricultural Economics/Revue canadienne d’agroeconomie, 2, 2002.
- Least absolute deviation estimation for all-pass time series models Annals of statistics, 2001.
- Local polynomial regression estimation in two-stage sampling matrix, 2001.
- Long-range dependent common factor models: A Bayesian approach Communications in Statistics-Theory and Methods, 6, 2001.
- Modeling Noncausal Autoregressions Using All-Pass Filters2001.
- Highest density gates for target tracking IEEE Transactions on Aerospace and Electronic Systems, 1, 2000.
- Local polynomial regression estimators in survey sampling Annals of Statistics, 2000.
- The Application of Local Polynomial Regression to Survey Sampling Estimation Citeseer, 2000.
- Bayesian estimation of common long-range dependent modelsProc. of Seventh Vilnius Conference on Probability Theory and Mathematical Statistics1999.
- Design of supplemented panel surveys with application to the National Resources Inventory Journal of Agricultural, Biological, and Environmental Statistics, 1999.
- Estimation for supplemented panels Sankhya: The Indian Journal of Statistics, Series B, 1999.
- Local Polynomial Regression Estimation Iowa State University, Department of Economics Staff General Research Papers, 1999.
- LOCAL POLYNOMIAL REGRESSION ESTIMATION IN A SURVEY OF IOWA SOILSProceedings of the Statistical Computing Section1999.
- Modeling common long-range dependence in levels or volatilities using Markov Chain Monte Carlo methods NJIT Mathematics Department Technical Report, 1998.(available for download at http://m. njit. edu/ borayx/bclrd. ps), 1999.
- Optimal information acquisition under a geostatistical model Journal of Agricultural and Resource Economics, 1999.
- A TIME SERIES APPROACH TO GENETIC TREND ESTIMATIONProceedings of the Section on Bayesian Statistical Science1998.
- Design and estimation for investigating the dynamics of natural resources Ecological Applications, 2, 1998.
- Extremes of stochastic volatility models Annals of Applied Probability, 1998.
- Optimal Sampling Under a Geostatistical Model1998.
- Sampling schemes for policy analyses using computer simulation experiments Environmental management, 4, 1998.
- The detection and estimation of long memory in stochastic volatility Journal of econometrics, 1, 1998.
- Modeling the persistent volatility of asset returnsComputational Intelligence for Financial Engineering (CIFEr), 1997., Proceedings of the IEEE/IAFE 19971997.
- A threshold autoregressive stochastic volatility modelVI Latin American Congress of Probability and Mathematical Statistics (CLAPEM), Valparaiso, Chile1996.
- Bayesian Estimation of Genetic Trend1996.
- Improved quasi-maximum likelihood estimation for stochastic volatility modelsModelling and Prediction Honoring Seymour Geisser Springer New York, 1996.
- Improved Quasi-Maximum Likelihood for Stochastic Volatility Models1996.
- Sample Design and Estimation Recommendations for Minnesota Fish Contamination Studies Department of Statistics, Iowa State University, 1996.
- Sampling Approaches for Minnesota Fish Contamination Studies Department of Statistics, Iowa State University, 1996.
- Two-phase estimation by imputation Journal of the Indian Society of Agricultural Statistics, 1996.
- Two-Phase Regression Estimation for Policy Analysis Using Computer Simulation Experiments Iowa State University, Department of Economics Staff General Research Papers, 1996.
- Improved bootstrap prediction intervals for autoregressions Journal of Time Series Analysis, 2, 1995.
- Markov chain designs for one-per-stratum spatial samplingProceedings of the Section on Survey Research Methods, American Statistical Association, Washington, DC1995.
- TWO-PHASE REGRESSION ESTIMATION FOR POLICY ANALYSIS USING COMPUTER SIMULATION EXPERIMENTSProceedings of the Section on Survey Research Methods1-2, 1995.
- Approximating the variance of the survey regression estimator using poststratificationProceedings of the Section on Survey Research Methods1994.
- Modeling long-memory stochastic volatility Johns Hopkins University, Department of Economics, 1994.
- Regression weighting methods for SIPP dataAmerican Statistical Association 1994 Proceedings of the Section on Survey Research Methods1994.
- Modeling long-memory stochastic volatilityIowa State University Discussion paper1993.
- Regression weighting for multiphase samples Sankhya: The Indian Journal of Statistics, Series B, 1993.
- TIME-REVERSIBILITY, IDENTIFIABILITY AND INDEPENDENCE OF INNOVATIONS FOR STATIONARY TIME SERIES Journal of Time Series Analysis, 5, 1992.
