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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Teaching
Teaching
Posts
The Geometry of Information
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A geometric interpretation of information
Dynamical Systems and Linear Algebra
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Understanding dynamical systems through linear algebra
Markov Chain Monte Carlo
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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.
Linear Algebra: Four perspectives
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A quick intro to linear algebra concepts
Singular Value Decomposition
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Singular Value Decomposition and its link with the Pythagoras theorem
Information theory and statistical learning: Some intuition
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Some basics of information theory and entropy. A small discussion on informativeness of signals
Statistical filtering: An overview
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An introduction to filtering and sensor fusion
Monte-carlo integration
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The art of measurement by rolling dice.
Markov Chains: A Gentle Introduction
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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.
portfolio
research
Monetary Policy as Decentralized Control: Near-optimality of Quantized Policy Rules
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Working Paper
Bond market response to FOMC communication: Overreaction to Forward Guidance and Diagnostic Expectations
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Working Paper
Keeping up with the Curve: Learning, Evolving Beliefs and the Anchoring of Expectations
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Job Market Paper