A Bayesian perspective on Info- Gap Decision Theory Ullrika Sahlin, Centre of Environmental and Climate Research Rasmus Bååth, Cognitive Science Lund University,
UMBC an Honors University in Maryland 1 Uncertainty in Ontology Mapping: Uncertainty in Ontology Mapping: A Bayesian Perspective Yun Peng, Zhongli Ding,
Differential Principal Component Analysis (dPCA) for ChIP-seq Hongkai Ji ([email protected])[email protected] Department of Biostatistics The Bloomberg School.
Australian Centre for Environmetrics. Developing Risk-based guidelines for Water Quality Monitoring and Evaluation Prof. David Fox CSIRO Land and Water.
Spatially clustered processes are very pervasive in nature Can we do more to insure that our estimates are physically realistic? How can we incorporate.
1 Finite Population Inference for the Mean from a Bayesian Perspective Edward J. Stanek III Department of Public Health University of Massachusetts Amherst,
1 Finite Population Inference for Latent Values Measured with Error that Partially Account for Identifable Subjects from a Bayesian Perspective Edward.
Advanced Spatial Analysis Spatial Regression Modeling GISPopSci Day 5 Paul R. Voss and Katherine J. Curtis.
Nicola Cooper, Keith Abrams, Alex Sutton, David Turner, Paul Lambert
A SSESSING R ELEASE L IMITS AND M ANUFACTURING R ISK FROM A B AYESIAN P ERSPECTIVE 1 Areti Manola [email protected].
A BAYESIAN PERSPECTIVE ON SPATIAL PERCEPTION Maaike de Vrijer Jan van Gisbergen February 20, 2008.
Dutch books and epistemic events
