Course materials for Computational Statistics, PhD course at EMAp.
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Feb 15, 2024 - TeX
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computational-statistics
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Bayesian spatio-temporal methods for small-area estimation of HIV indicators (PhD, Imperial College London, 2023)
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Oct 21, 2024 - TeX
Class notes for the computational statistics class (Spanish), master in Data Science ITAM
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Jan 17, 2020 - TeX
CE083 - Estatística Computacional I
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Jul 24, 2018 - R
Forward-backward conditional sampling
machine-learning statistics generative-model mcmc computational-statistics conditional-sampling conditional-generation
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Aug 11, 2024 - Python
An introduction to computational statistics with examples and comparison to analytical methods
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Jul 1, 2019 - Python
Algorithms and case studies for the paper "Accelerating delayed-acceptance Markov chain Monte Carlo algorithms".
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May 27, 2019 - Julia
Python implementation (from scratch) of some MCMC samplers that can leverage pyTorch's autodifferentiation (with examples).
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Oct 18, 2020 - Python
Code for the nested Gaussian filters (NGFs), in particular, an implementation of an unscented Kalman filter (UKF) combined with a bank of extended Kalman filters (EKFs). Other algorithms are implemented to compare performance.
parameter-estimation bayesian-inference gaussian-filter online-learning computational-statistics state-space-model filtering-algorithm
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May 2, 2023 - MATLAB
Computational Statistics, STAT525, 2020Spring, UIUC
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May 20, 2020 - Jupyter Notebook
Markov Chain Monte Carlo(MCMC), Approximate Bayesian Computation(ABC), Bayesian Synthetic Likelihood(BSL), Variational Inference(VI)
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Nov 7, 2024
Code for the nested hybrid filters (NHFs), including four different implementations using sequential Monte Carlo (SMC), sequential quasi-Monte Carlo (SQMC), extended Kalman filters (EKFs) and ensemble Kalman filters (EnKFs). I have also included the implementation of the nested particle filter (NPF) and the two-stage filter to compare performance.
parameter-estimation bayesian-inference online-learning computational-statistics state-space-model filtering-algorithm
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Mar 11, 2024 - MATLAB
Bayesian parameter estimation of HMMs in Julia
semi-supervised-learning bayesian-inference mcmc hidden-markov-models computational-statistics bayesian-hmm
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Aug 31, 2024 - Julia
Looking for the number of sticker packages one should buy in order to fully complete Panini's World Cup Album 2022.
python simulation mathematical-modelling panini computational-statistics world-cup-2022 album-panini
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Aug 27, 2022 - Jupyter Notebook
Work done for the Fall 2018 class of Computational Statistics at ENSAE
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Jan 5, 2019 - Jupyter Notebook
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Dec 20, 2019 - C++
Monte Carlo (MC) Integration and simulations in R and Python
python r statistics simulations monte-carlo-simulation monte-carlo-integration computational-statistics statistician
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May 8, 2024 - Jupyter Notebook
Computational Statistics
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Feb 10, 2023 - Jupyter Notebook
Work from the PhD-Level Computation Statistics Course from FSU taken Spring 2019
machine-learning machine-learning-algorithms image-classification regression-models knn-classification computational-statistics
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Apr 20, 2021 - Jupyter Notebook
Extremely fast and scalable algorithms for phase-type distributions (including discrete, multivariate, rewarded, and time-inhomogeneous). Interface to both C and R
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Jan 27, 2023 - C++
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