Student Presentations for Advanced Methods in Applied Statistics 2023
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Breaking the spell of Gaussianity: Forecasting with higher order Fisher matrices (presentation, write-up)
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Viterbi method for Hidden Markov models and Gravitational Waves (presentation, write-up)
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Characterizing particle morphology using genetic algorithms and deep generative models (presentation, write-up)
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Principal Component Analysis (presentation, write-up)
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Detecting causality with Convergent Cross Mapping (presentation, write-up)
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Hamiltonian Monte Carlo (presentation, write-up)
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Parameter Estimation of Hidden Markov Models Segmentation K-means algorithm(presentation, write-up)
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The Elusive Voter (presentation, write-up)
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Hidden Markov Models - The smoothing and Baum-Welch methods (presentation, write-up)
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Causal Discovery (presentation, write-up)
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Persisten Homology - Holes and Features (presentation, write-up)
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K-nearest neighbour and Hassanat distance metric (presentation, write-up)
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Graph Neural Network and Particle Physics (presentation, write-up)
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Over Optimism in Bioinformatics (presentation, write-up)
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Statistics, Probability, and Chaos (presentation, write-up)
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What is Shape [genetic algorithms] (presentation, write-up)
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Hierarchial Bayesian Inference (presentation, write-up)
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Breaking the Spell of Gaussianity: Forecasting with higher order Fisher Matrices (presentation, write-up)