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Schedule
(PDF)
April
12 - 14, 2007
The
Center for Continuing Education
2 East Center St, Fayetteville, AR 72701
Thursday, April 12, 2007
Morning Session Chair: Giovanni
Petris
Afternoon Session Chair: Victor
DeOliveira
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8:00-8:45am
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Registration
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8:45-9:00am
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Welcome by Department Chair
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9:00-10:00am
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Principal Lecture #1: Noel Cressie
Spatial Statistics in the Presence of Location
Error
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10:00-10:45am
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Invited Speaker: Victor DeOliveria
Objective Bayesian
Analysis of Spatial Data with Measurement Error
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10:45-11:00pm
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Break
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11:00-12:00pm
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Contributed Session #1
1.
Sujit
Sahu: High
Resolution Space-Time Ozone Modeling
2.
Ali
Arab: Semiparametric Zero-Inflated
Poisson Models for Spatio-Temporal Environmental Processes
3.
Murali Haran: Crop disease:
Estimating the risk of an FHB epidemic
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12:00-1:30pm
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Lunch
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1:30-2:30pm
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Principal
Lecture #2: Noel
Cressie
Modeling Dynamic Controls
on Ice Streams: A Bayesian Statistical Approach
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2:30-3:15pm
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Invited Speaker: Alan Gelfand
Stochastic Space-Time Modelling Using
Differential Equations
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3:15-3:30pm
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Break
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3:30-4:15pm
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Invited Speaker: James Zidek
Using a Multivariate Approach to Model
Univariate Environmental Space Time Processes
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4:15-5:15pm
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Contributed Session #2
1.
Ateq
Al-Ghamedi: Variance of Trimmed Mean for Symmetric Stable Distributions
2.
Dan
Nordman: An
Empirical Likelihood Method for Variogram Inference
3.
Gavino
Puggioni: Spatio-temporal modeling using Stochastic Differential Equations
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7:15-9:15pm
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Poster Session
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Friday, April 13, 2007
Morning Session Chair: Hedibert
Lopes
Afternoon Session Chair: Sujit Ghosh
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9:00-10:00am
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Principal Lecture #3: Noel Cressie
Relating Rates in Space through Hierarchical
Statistical Modeling
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10:00-10:45am
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Invited Speaker: Marc Genton
Modeling and Testing Properties of
Space-Time Covariance Functions
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10:45-11:00am
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Break
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11:00-12:00pm
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Contributed Session #3
1.
Petrutza
Caragea: Exploring
Dependence with Spatial Lattice Data
2.
Gentry
White: A
spline based conditionally autoregressive model for spatial data
3.
Ranga
Vatsavai: Comparison of MRF and SAR Models for Multi-class Classification of
Remote Sensing Imagery
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12:00-1:30pm
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Lunch
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1:30-2:30pm
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Principal Lecture #4: Noel Cressie
Spatial and Spatio-Temporal Satellite Data
Processing
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2:30-3:15pm
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Invited Speaker: Christopher Wikle
Nonlinear
Spatio-Temporal Dynamic Models
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3:15-3:30pm
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Break
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3:30-4:15pm
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Invited Speaker: Jay Ver Hoef
Space-Time Zero-Inflated Count Models
of Harbor Seals
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4:15-5:15pm
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Contributed Session #4
1.
Hedibert
Lopes: Spatial
Dynamic Factor Models
2.
Gunter
Spoeck: Noninformative
Priors with special Application to Spatial Prediction
3.
Mevin
Hooten: Characterizing
invasions with hierarchical rule-based systems
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6:00-10:00pm
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Conference Dinner (Ozark Mountain
Smokehouse, 215 West Dickson, Fayetteville,
AR, 479-442-2154)
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Saturday, April 14, 2007
Morning Session Chair: Jeffery
Picka
Afternoon Session Chair: Murali Haran
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9:00-10:00am
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Principal Lecture #5: Noel Cressie
Loss-Based Prediction of Spatial Exceedances of
Spatial Exceedances and Spatial Exceedance Regions
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10:00-10:45am
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Invited Speaker: Jun Zhu
Markov Chain Monte Carlo for a Spatial-Temporal
Autologistic Regression Model
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10:45-11:00am
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Break
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11:00-11:45pm
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Invited Speaker: Sujit Ghosh
A Class
of Kernel-Based Conditionally Autoregressive Models for Spatial Data
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11:45-1:30pm
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Lunch
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1:30-2:15pm
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Invited Speaker: Richard Smith
Extreme Precipitation Trends over the
Continental United
States
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2:15-3:15pm
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Contributed Session #5
1.
Richard
Gunst: Spatial
Modeling and Analysis of SPECT Brain Imaging Data
2.
Jeffery
Picka: Classification
of Non-Poisson-Based Random Patterns
3.
Michael Porter: Anomaly Detection in Space-Time (and higher
dimensional) Point Processes
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Poster Session:
1.
Dipankar
Bandyopadhyay: Bayesian modeling of multivariate spatial binary data:
application to dental epidemiology
2.
Wassim Kamoun:
Comparing Switching Model and Space-Time Autoregressive Model for Forecasting
Ozone Concentration
3.
Jong-Min Kim:
Application of Spatial Copula
4.
Jiexiang Li:
Hazard rate estimation on random fields
5.
Andy Radomski:
Spatio-temporal movement patterns of wintering Double-crested Cormorants in
the southeastern states
6.
Brain Reich: A
multivariate semiparametric Bayesian spatial modelling framework for
hurricane surface wind fields
7.
Changxiang Rui:
Point and Block Prediction in Log-Gaussian Random Fields: The Non-Constant Mean Case
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