Browsing by Author/Contributor "Wikle, Christopher K., 1963-"
Now showing items 1-18 of 18
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Accounting for Uncertainty in Ecological Analysis: The Strengths and Limitations of Hierarchical Statistical Modeling
Cressie, Noel A. C.; Calder, Catherine A., 1976-; Clark, James Samuel, 1957-; Ver Hoef, Jay M.; Wikle, Christopher K., 1963- (Ecological Society of America, 2009)Analyses of ecological data should account for the uncertainty in the process(es) that generated the data. However, accounting for these uncertainties is a difficult task, since ecology is known for its complexity. ... -
Efficient Statistical Mapping of Avian Count Data
Royle, J. Andrew; Wikle, Christopher K., 1963- (Environmental and Ecological Statistics, 2005)We develop a spatial modeling framework for count data that is efficient to implement in high-dimensional prediction problems. We consider spectral parameterizations for the spatially varying mean of the Poisson model. The ... -
Hierarchical Bayesian Approach to Boundary Value Problems with Stochastic Boundary Conditions
Wikle, Christopher K., 1963-; Berliner, L. Mark; Milliff, Ralph F. (American Meteorological Society, 2003)Boundary value problems are ubiquitous in the atmospheric and ocean sciences. Typical settings include bounded, partially bounded, global and limited area domains, discretized for applications of numerical models of the ... -
Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes
Wikle, Christopher K., 1963- (Ecological Society of America, 2003)There is increasing interest in predicting ecological processes. Methods to accomplish such predictions must account for uncertainties in observation, sampling, models, and parameters. Statistical methods for spatio-temporal ... -
A Hierarchical Bayesian Non-linear Spatio-temporal Model for the Spread of Invasive Species with Application to the Eurasian Collared-Dove
Hooten, Mevin B., 1976-; Wikle, Christopher K., 1963- (Environmental and Ecological Statistics, 2007)Differential equation based advection-diffusion models have been used in atmospheric science to mimic complex processes such as weather and climate. Differential and partial-differential equations (PDE's) have become popular ... -
Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty
Leeds, William B. (University of Missouri--Columbia, 2012)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Dynamic spatio-temporal models are statistical models that specify the joint distribution of a spatio-temporal process as the product of a series of ... -
Hierarchical nonlinear, multivariate, and spatially-dependent time-frequency functional methods
Yang, Wen-Hsi, 1978- (University of Missouri--Columbia, 2013)Notions of time and frequency are important constituents of most scientific inquiries, providing complimentary information. In an era of "big data," methodology for analyzing functional and/or image data is increasingly ... -
Hierarchical physical-statistical forecasting in the atmospheric sciences
Song, Yong, 1974-. (University of Missouri--Columbia, 2009)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] A class of hierarchical Bayesian models is introduced for Physical-Statistical forecasting purposes in the Atmospheric Sciences. The first project ... -
Hierarchical spatio-temporal models for ecological processes
Hooten, Mevin B., 1976- (University of Missouri--Columbia, 2006)Ecosystems are composed of phenomena that propagate in time and space. Often, ecological processes underlying such phenomena are studied separably in various subdisciplines, while larger scale, interlinking mechanisms are ... -
Hierarchical spatio-temporal models for environmental processes
Arab, Ali, 1975- (University of Missouri--Columbia, 2007)The processes governing environmental systems are often complex, involving different interacting scales of variability in space and time. The complexities and often high dimensionality of such spatio-temporal processes can ... -
A Kernel-Based Spectral Model for Non-Gaussian Spatio-Temporal Processes
Wikle, Christopher K., 1963- (Statistical Modelling, 2002)Spatio-temporal processes can often be written as hierarchical state-space processes. In situations with complicated dynamics such as wave propagation, it is difficult to parameterize state transition functions for ... -
Multiresolution Models for Nonstationary Spatial Covariance Functions
Nychka, Douglas; Wikle, Christopher K., 1963-; Royle, J. Andrew (Statistical Modelling, 2002)Many geophysical and environmental problems depend on estimating a spatial process that has nonstationary structure. A nonstationary model is proposed based on the spatial field being a linear combination of a multiresolution ... -
Population Influences on Tornado Reports in the United States
Anderson, Christopher J.; Wikle, Christopher K., 1963-; Zhou, Qin; Royle, J. Andrew (Weather and Forecasting, 2005)The number of tornadoes reported in the United States is believed to be less than the actual incidence of tornadoes, especially prior to the 1990s, because tornadoes may be undetectable by human witnesses in sparsely ... -
Predicting the Spatial Distribution of Ground Flora on Large Domains Using a Hierarchical Bayesian Model
Hooten, Mevin B., 1976-; Larsen, David R. (David Rolf); Wikle, Christopher K., 1963- (Landscape Ecology, 2003)Accomodation of important sources of uncertainty in ecological models is essential to realistically predicting ecological processes. The purpose of this project is to develop a robust methodology for modeling natural ... -
Shifts in the Spatio-Temporal Growth Dynamics of Shortleaf Pine
Hooten, Mevin B., 1976-; Wikle, Christopher K., 1963- (Environmental and Ecological Statistics, 2007)Previous studies focusing on the growth history of pinus echinata at the edge of its geographical range have suggested that changes in growth correspond to climatic and non-climatic (e.g., anthropogenic) factors. We employ ... -
Spatio-Temporal Hierarchical Bayesian Modeling: Tropical Ocean Surface Winds
Wikle, Christopher K., 1963-; Milliff, Ralph F.; Nychka, Douglas; Berliner, L. Mark (American Statistical Association, 2001)Spatio-temporal processes are ubiquitous in the environmental and physical sciences. This is certainly true of atmospheric and oceanic processes, which typically exhibit many different scales of spatial and temporal ... -
Spatio-temporal models with time-varying spatial model error for environmental processes
Gladish, Daniel, 1982- (University of Missouri--Columbia, 2013)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Environmental processes exhibit uncertainty in the spatial and temporal domains. Often, mechanistic forecast models, such as weather forecasting systems, ... -
Statistical-based dynamic machine learning models for nonlinear spatio-temporal processes
McDermott, Patrick (University of Missouri--Columbia, 2018)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT AUTHOR'S REQUEST.] One of the most vital aspects of any spatio-temporal model is characterizing the dynamics of the process. In both a spatio-temporal forecasting ...