SEQUENTIAL MONTE CARLO RADIO-FREQUENCY TOMOGRAPHIC TRACKING Yunpeng Li† , Xi Chen?1 , Mark Coates? and Bo Yang† † Multimedia Technology Center, Beijing Univ. of Posts and Telecom., Beijing, China Dept. of Electrica

Source URL: www.tsp.ece.mcgill.ca

• Computational statistics
• Medical imaging
• Expectation–maximization algorithm
• Missing data
• Particle filter
• Iterative reconstruction
• Kalman filter
• Statistics
• Estimation theory
• Robot control

International Cooperative for Aerosol Prediction (ICAP)/ AEROCAST: 3rd Workshop: Ensemble Forecasts and Assimilation Meeting Organizers: Peter Colarco, NASA ( ), Angela Benedetti, ECMWF (Angela.Be

Source URL: icap.atmos.und.edu

• Statistical forecasting
• Bayesian statistics
• Estimation theory
• Monte Carlo methods
• Data assimilation
• Forecasting
• Model output statistics
• Ensemble Kalman filter
• Statistics
• Prediction
• Weather prediction

Application of Particle Filter to Identification of Tsunami Simulation Model Kazuyuki Nakamura1 , Tomoyuki Higuchi2 and Naoki Hirose3 1 The Graduate University for Advanced Studies / JST CRESTMinami-Azabu, Minato-

Source URL: daweb.ism.ac.jp

• Estimation theory
• Control theory
• Bayesian statistics
• Linear filters
• Robot control
• Data assimilation
• Kalman filter
• Tsunami
• Nonlinear filter
• Statistics
• Science
• Applied mathematics

A primer for data assimilation with ecological models using Markov Chain Monte Carlo (MCMC) J. M. Zobitz, A. R. Desai, D. J. P. Moore & M. A. Chadwick

Source URL: ccr.meteor.wisc.edu

• Monte Carlo methods
• Model selection
• Computational statistics
• Data assimilation
• Ensemble Kalman filter
• Deviance information criterion
• Least squares
• Ecosystem model
• Parameter
• Statistics
• Bayesian statistics
• Estimation theory

Robotics-Based Location Sensing using Wireless Ethernet Andrew M. Ladd Kostas E. Bekris Algis Rudys

Source URL: gmarceau.qc.ca

• Statistical inference
• Markov models
• Geolocation
• Statistical theory
• Probability
• Localization
• Statistical hypothesis testing
• Prior probability
• Kalman filter
• Statistics
• Technology
• Bayesian statistics

Introduction to WRFDA Hans Huang WRFDA is a Data Assimilation system built within the WRF software framework, used for application in both research and operational environments….

Source URL: www2.mmm.ucar.edu

• Bayesian statistics
• Estimation theory
• Control theory
• Weather prediction
• Statistical forecasting
• Data assimilation
• National Center for Atmospheric Research
• Ensemble Kalman filter
• Kalman filter
• Atmospheric sciences
• Meteorology
• Statistics

Reduced Space Optimal Analysis for Historical Data Sets: 136 years of Atlantic Sea Surface Temperatures Alexey Kaplan, Yochanan Kushnir, Mark A. Cane, and M. Benno Blumenthal Lamont{Doherty Earth Observatory of Columbia

Source URL: rainbow.ldeo.columbia.edu

• Data analysis
• Regression analysis
• Linear filters
• Data assimilation
• Principal component analysis
• Kalman filter
• Empirical orthogonal functions
• Least squares
• Singular value decomposition
• Statistics
• Estimation theory
• Control theory

EnKF and filter divergence David Kelly Andrew Stuart Kody Law

Source URL: math.nist.gov

• Robot control
• Cybernetics
• Systems theory
• Statistics
• Control theory
• Kalman filter

Microsoft Word - List of GeT-RM publications.docx

Source URL: wwwn.cdc.gov

3136 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 52, NO. 11, NOVEMBER 2004 Embedded Trees: Estimation of Gaussian Processes on Graphs with Cycles

Source URL: ssg.mit.edu

• Probability theory
• Belief propagation
• Coding theory
• Markov models
• Markov random field
• Planar graph
• Matrix
• Tree decomposition
• Kalman filter
• Graph theory
• Mathematics
• Graphical models