CONTENTS
- Uncertainty in Oceanic General Circulation Models
- Application of Ensemble Integrations for Predictability Studies and Data Assimilation
- Data Assimilation in Nonlinear Stochastic Models
- Bayesian Analysis for Oceanographers
- Markov Chain Monte Carlo Methods for Bayesian Analysis
Joseph B. Kadane, Brian Diggs, Christopher Genovese, Shing-te Li, and Robert Swendsen, pp. 41-44. Kadane et al. 0.6 Mb pdf
- A Tale of Two Chains: Experiences from a Collaboration Between Statisticians and Physicists
Robert H. Swendsen, Brian Diggs, Christopher Genovese, Joseph B. Kadane, and Robert Swendsen, pp. 45-48. Swendsen et al. 0.7 Mb pdf
- Conditional Statistical Models: A Discourse about the Local Scale in Climate Simulations
- Locally Isotropic Turbulence as a Gauge Field Theory
- An Overview of Monte Carlo Simulation Techniques for the Generation of Random Fields
- Renormalization Theories for Incompressible Flows with Gaussian Statistics
- Computing with Brownian and Lèvy a-stable Path Integrals
- Use of Monte Carlo Methods as an Aid to the Design of Tuna Tagging Experiments
- Coupled Biological-Physical Models: Physical Transport vs. Stochastic Forcing
- Superprocesses and Plankton Dynamics
- Path Optimization Problems in Integrated Assessment Studies
- Random Media Effects in Basin-Scale Acoustic Transmission
- Path Integral Expressions for Fluctuations in Acoustic Transmission in the Ocean Waveguide
- Sound Through Internal Waves: Difficult Cases
- MATE with a Large Vertical Aperture - Why?
- On the Variability of Fine-Scale Shear
- A Quick Introduction to Path Integrals
- Meeting Report: Workshop Assesses Monte Carlo Simulations in Oceanography
This page was last updated Tuesday 18 June 2002.
Please send all comments to dhenders@hawaii.edu.
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