Statistics publications (MU)
Items in this collection are the scholarly output of the Department of Statistics faculty, staff, and students, either alone or as coauthors, and which may or may not have been published in an alternate format. Items may contain more than one file type.
Items in MOspace are protected by copyright, with all rights reserved, unless otherwise indicated.
Recent Submissions

On the de la Garza Phenomenon
(Institute of Mathematical Statistics, 2010)Deriving optimal designs for nonlinear models is, in general, challenging. One crucial step is to determine the number of support points needed. Current tools handle this on a casebycase basis. Each combination of ... 
Universal Optimality in Balanced Uniform Crossover Design
(Institute of Mathematical Statistics, 2003)Kunert [Ann. Statist. 12 (1984) 10061017] proved that, in the class of repeated measurement designs based on t treatments, p = t periods and n = λt experimental units, a balanced uniform design is universally optimal for ... 
Strong Consistency of MLE in Nonlinear Mixedeffects Models with Large Cluster Size
(Indian Statistical Institute, 2005)The search for conditions for the consistency of maximum likelihood estimators in nonlinear mixed effects models is difficult due to the fact that, in general, the likelihood can only be expressed as an integral over the ... 
Support Points of Locally Optimal Designs for Nonlinear Models with Two Parameters
(Institute of Mathematical Statistics, 2009)We propose a new approach for identifying the support points of a locally optimal design when the model is a nonlinear model. In contrast to the commonly used geometric approach, we use an approach based on algebraic tools. ... 
ComPhy: Prokaryotic Composite Distance Phylogenies Inferred from WholeGenome Gene Sets
(BioMed Central, 2009)With the increasing availability of whole genome sequences, it is becoming more and more important to use complete genome sequences for inferring species phylogenies. We developed a new tool ComPhy, 'Composite Distance ... 
A Bayesian Approach to Estimating the Long Memory Parameter
(Bayesian Analysis, 2009)We develop a Bayesian procedure for analyzing stationary longrange dependent processes. Specifically, we consider the fractional exponential model (FEXP) to estimate the memory parameter of a stationary longmemory Gaussian ... 
Gene ExpressionBased Glioma Classification Using Hierarchical Bayesian Vector Machines
(Indian Statistical Institute, 2007)This paper considers several Bayesian classification methods for the analysis of the glioma cancer with microarray data based on reproducing kernel Hilbert space under the multiclass setup. We consider the multinomial ... 
SpatioTemporal Hierarchical Bayesian Modeling: Tropical Ocean Surface Winds
(American Statistical Association, 2001)Spatiotemporal 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 ... 
Predicting the Spatial Distribution of Ground Flora on Large Domains Using a Hierarchical Bayesian Model
(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 ... 
Efficient Statistical Mapping of Avian Count Data
(Environmental and Ecological Statistics, 2005)We develop a spatial modeling framework for count data that is efficient to implement in highdimensional prediction problems. We consider spectral parameterizations for the spatially varying mean of the Poisson model. The ... 
Shifts in the SpatioTemporal Growth Dynamics of Shortleaf Pine
(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 nonclimatic (e.g., anthropogenic) factors. We employ ... 
A Hierarchical Bayesian Nonlinear Spatiotemporal Model for the Spread of Invasive Species with Application to the Eurasian CollaredDove
(Environmental and Ecological Statistics, 2007)Differential equation based advectiondiffusion models have been used in atmospheric science to mimic complex processes such as weather and climate. Differential and partialdifferential equations (PDE's) have become popular ... 
Population Influences on Tornado Reports in the United States
(Weather and Forecasting, 200504)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 ... 
Accounting for Uncertainty in Ecological Analysis: The Strengths and Limitations of Hierarchical Statistical Modeling
(Ecological Society of America, 200904)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. ... 
Multiresolution Models for Nonstationary Spatial Covariance Functions
(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 ... 
A KernelBased Spectral Model for NonGaussian SpatioTemporal Processes
(Statistical Modelling, 2002)Spatiotemporal processes can often be written as hierarchical statespace processes. In situations with complicated dynamics such as wave propagation, it is difficult to parameterize state transition functions for ... 
Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes
(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 spatiotemporal ... 
Hierarchical Bayesian Approach to Boundary Value Problems with Stochastic Boundary Conditions
(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 ...