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Uncertainty theory
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#	Item
331	E¤ects of Consumer Uncertainty and Biases on Optimal Pricing Plans Sreya Kolay and Rajeev Tyagi University of California, Irvine May 2009 Abstract Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2009-05-10 23:57:24 Business Microeconomics Consumer theory Competition Economic surplus Consumer Pricing Marketing Economics
332	What Can Behavioral Economics Teach Us About Privacy? Alessandro Acquisti1 and Jens Grossklags2 1 Carnegie Mellon University, Pittsburgh, PA, 15213, USA, Add to Reading List Source URL: www.heinz.cmu.edu Language: English - Date: 2008-08-01 16:42:17 Knowledge Statistics Risk Internet privacy Behavioral economics Expected utility hypothesis Information privacy Prospect theory Uncertainty Ethics Privacy Decision theory
333	ON THE CAPACITY OF LINEAR VECTOR GAUSSIAN CHANNELS WITH MAGNITUDE KNOWLEDGE AND PHASE UNCERTAINTY ´ Lagunas∗ Miquel Payar´o∗, Ami Wiesel†, Jinhong Yuan‡ , Miguel Angel ∗ Add to Reading List Source URL: www.ece.ust.hk Language: English - Date: 2007-03-12 05:34:21 Information theory Matrices Matrix theory Covariance and correlation Radio resource management Covariance matrix MIMO Eigenvalues and eigenvectors Channel state information Algebra Linear algebra Mathematics
334	parameter estimation Hydrology and Earth System Influence Sciences,of5(2), 225–uncertainty Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 01:46:28 Estimation theory Interpolation Kriging Multivariate interpolation Variogram Normal distribution Maximum likelihood Linear regression Regression analysis Statistics Geostatistics Econometrics
335	Residential Demand Response under Uncertainty Paul Scott and Sylvie Thi´ebaux and Menkes van den Briel Australian National University NICTA, Australia {firstname.lastname}@nicta.com.au Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-07-28 11:37:42 Operations research Statistical randomness Mathematical optimization Stochastic optimization Stochastic programming Stochastic Control theory Economic model Statistics Mathematics Probability and statistics
336	2010 IEEE International Conference on Robotics and Automation Anchorage Convention District May 3-8, 2010, Anchorage, Alaska, USA Estimation of Model Parameters for Steerable Needles Wooram Park, Kyle B. Reed, Allison M. Add to Reading List Source URL: reedlab.eng.usf.edu Language: English - Date: 2010-08-20 18:01:37 Wiener process Autoregressive model Propagation of uncertainty Covariance and contravariance Variance Gaussian function Statistics Data analysis Martingale theory
337	Regret-based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty Thanh H. Nguyen1 , Amulya Yadav1 , Bo An2 , Milind Tambe1 , Craig Boutilier3 1 University of Southern California, Los Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-05-02 13:24:05 Economics Science Minimax Regret Robust optimization Bayesian game Game theory Decision theory Mathematics
338	Uncertainty, Compliance and International Cooperation: A Behavioral Approach1 Emilie M. Hafner-Burton, Brad L. LeVeck and David G. Victor December 20, 2013 [Paper prepared for the UCSD Workshop, The Behavioral Revolution Add to Reading List Source URL: irps.ucsd.edu Language: English - Date: 2015-04-17 20:04:09 Decision theory Cognition Measurement Uncertainty Risk Decision making Reciprocity Regulatory compliance Reputation Statistics Knowledge Science
339	Risk-aware Usage Decision Making in Highly Dynamic Systems Leanid Krautsevich, Aliaksandr Lazouski Department of Computer Science University of Pisa Largo B. Pontecorvo 3, Pisa, Italy Email: [removed] Add to Reading List Source URL: wwwold.iit.cnr.it Language: English - Date: 2010-06-18 12:28:02 Risk management Markov processes Decision theory Markov models Control theory Risk Markov chain Uncertainty Decision making Statistics Knowledge Probability and statistics
340	A Logic-based Approach to Decision Making Magdalena Ivanovska∗ and Martin Giese∗ Abstract We propose a novel approach to the well-studied problem of making a finite, ordered sequence of decisions under uncertainty. M Add to Reading List Source URL: www.nik.no Language: English - Date: 2012-02-29 03:37:49 Boolean algebra Model theory Logical syntax Metalogic Function Interpretation Propositional formula Bayesian network Influence diagram Logic Mathematical logic Propositional calculus

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