The Geometry of Information
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A geometric interpretation of information
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A geometric interpretation of information
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Understanding dynamical systems through linear algebra
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Markov Chain Monte Carlo methods are widely used in Bayesian Econometrics. This article aims to clarify their theoretical basis and develop some intuition.
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A quick intro to linear algebra concepts
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Singular Value Decomposition and its link with the Pythagoras theorem
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Some basics of information theory and entropy. A small discussion on informativeness of signals
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An introduction to filtering and sensor fusion
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Markov Chains are the very foundation of stochastic processes. And they can open up a whole new way of thinking about problems in stochastic processes once we understand them.