ROBERT R. BITMEAD PUBLICATIONS 1 BOOKS [B1] B.D.O. Anderson, R.R. Bitmead, C.R. Johnson Jr, P.V. Kokotovic, R.L. Kosut, I.M.Y. Mareels, L. Praly and B.D. Riedle, Stability of Adaptive Systems: Passivity and Averaging Ana

Source URL: oodgeroo.ucsd.edu

• Adaptive control
• Control theory
• Adaptive estimator

Data Adaptive Pre-Specification for Experimental and Observational Data Maya Petersen with Laura Balzer, Linh Tran, Mark van der Laan

Source URL: www.bitss.org

• Statistical inference
• Statistical theory
• Statistical methods
• Econometrics
• Estimation theory
• Statistics
• Machine learning
• Regression analysis
• Artificial neural network
• Estimator
• Bias

JOURNALOF Econometrics ELSEMER Journal

Source URL: econ.ucsb.edu

• Estimation theory
• Statistical inference
• Formal sciences
• Time series analysis
• Econometrics
• Estimator
• Statistics
• Autoregressivemoving-average model
• Adaptive estimator
• Regression analysis

A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem ∗ Aurore Delaigle, Jianqing Fan, and Raymond J. Carroll Abstract: Local polynomial estimators are popular techniques for nonparametric re

Source URL: www.ms.unimelb.edu.au

SGNSignal Compression Exercise Set 3 Ionut Schiopu April 8, 2015 Exercise 1. Adaptive arithmetic coding using the Laplace estimator. Adaptive arithmetic coding uses an adaptive zero-order model (which counts the n

Source URL: www.cs.tut.fi

Application of the Unscented Kalman Filter (UKF) and adaptive filtering to soil moisture assimilation Han The, KNMI

Source URL: netfam.fmi.fi

• Systems theory
• Control theory
• Robot control
• Linear filters
• Kalman filter
• Estimator
• Adaptive filter
• Data assimilation
• Estimation theory
• Statistics
• Cybernetics

SPATIALLY ADAPTIVE SUPPORT AS A LEADING MODEL-SELECTION TOOL FOR IMAGE FILTERING Vladimir Katkovnik, Alessandro Foi, Kostadin Dabov, and Karen Egiazarian Department of Signal Processing, Tampere University of Technology

Source URL: sp.cs.tut.fi

• Estimation theory
• Image denoising
• Normal distribution
• Continuous function
• Statistics
• Mathematical analysis
• Adaptive estimator

This is page 1 Printer: Opaque this Bayesian Adaptive Exploration Thomas J. Loredo David F. Chernoff

Source URL: www.astro.cornell.edu

• Statistical theory
• Design of experiments
• Statistical methods
• Bayesian inference
• Bayesian experimental design
• Optimal design
• Bayes estimator
• Prior probability
• Frequentist inference
• Statistics
• Bayesian statistics
• Statistical inference

Adaptive Monte Carlo via Bandit Allocation James Neufeld JNEUFELD @ UALBERTA . CA Andr´as Gy¨orgy GYORGY @ UALBERTA . CA Dale Schuurmans

Source URL: www.ualberta.ca

• Monte Carlo methods
• Statistical theory
• Decision theory
• Estimator
• M-estimator
• Importance sampling
• Mean squared error
• Bias of an estimator
• Regret
• Statistics
• Estimation theory
• Statistical inference

Bayesian Adaptive Exploration Tom Loredo & David Chernoff Department of Astronomy, Cornell University http://www.astro.cornell.edu/staff/loredo/bayes/

Source URL: www.astro.cornell.edu

• Estimation theory
• Bayesian inference
• Bayes estimator
• Loss function
• Bayesian experimental design
• Expectation–maximization algorithm
• Kullback–Leibler divergence
• Statistics
• Bayesian statistics
• Statistical theory