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• Artificial neural networks
• Computational neuroscience
• Computational statistics
• Digital signal processing
• Mathematical psychology
• Artificial neuron
• Quantization
• Normal distribution
• Liquid state machine

Microsoft Word - pm_rpt_16_uncertainty.doc

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• Measurement
• Sensitivity analysis
• Uncertainty
• Statistics
• Observational error
• Mathematical model
• Quantification of margins and uncertainties
• Uncertainty quantification

Volume 43 • Issue 4 IMS  Bulletin June/July 2014

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• Statistical inference
• Institute of Mathematical Statistics
• Bayesian inference
• Normal distribution
• Bayesian probability
• Dennis Lindley
• Confidence interval
• Chung Kai-lai

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• Online education
• Educational technology
• Higher education
• Open educational resources
• Free software
• Massive open online course
• Iversity
• Statistics education
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• EdX

Analysis, ppAre quantum particles objects? Simon Saunders It is widely believed that particles in quantum mechanics are metaphysically strange; they are not individuals (the view of Cassirer 1956), in

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• Quantum field theory
• Identical particles
• Boson
• Anyon
• Fock state
• Spin
• Quantum mechanics
• Mathematical formulation of quantum mechanics
• Simon Saunders
• Identity of indiscernibles
• Higgs boson
• Particle statistics

Sutton, Richard PIN

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• Computational neuroscience
• Belief revision
• Reinforcement learning
• Computational statistics
• Q-learning
• Temporal difference learning
• Artificial neural network
• Machine learning
• Markov decision process
• Mathematical optimization
• Algorithm
• Gradient descent

SHORT TERM TRAFFIC PREDICTION ON THE UK MOTORWAY NETWORK USING NEURAL NETWORKS Carl Goves Transport Systems Catapult 1.

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• Artificial neural networks
• Computational neuroscience
• Computational statistics
• Mathematical psychology
• Autoencoder
• Backpropagation
• Machine learning
• Deep learning
• Types of artificial neural networks

The Annals of Probability 2005, Vol. 33, No. 3, 984–1013 DOI009117904000001099 © Institute of Mathematical Statistics, 2005 LARGE DEVIATIONS FOR RENORMALIZED

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• Operator theory
• Analytic number theory
• Table of stars with Bayer designations
• Symbol

Institute of Mathematical Statistics is collaborating with JSTOR to digitize, preserve, and extend access to The Annals of Probability. ® www.jstor.org 

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WANTING ROBUSTNESS IN MACROECONOMICS LARS PETER HANSEN AND THOMAS J. SARGENT 1. Introduction 1.1. Foundations. von Neumann and Morgenstern (1944), Savage (1954), and Muthcreated mathematical foundations that appl

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• Decision theory
• Game theory
• Bayesian statistics
• New classical macroeconomics
• Ambiguity aversion
• Utility
• Ellsberg paradox
• Bayesian probability
• Prior probability
• Rational expectations
• Lars Peter Hansen
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