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Connecting probability theory and statistics with Bayesian inference. Focusing on the data modeling process, probabilistic graphical models and Monte Carlo sampling.

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Name		Name	Last commit message	Last commit date
Latest commit History 99 Commits
Gaussian mixture		Gaussian mixture
Modeling grocery prices		Modeling grocery prices
022 Distributions.ipynb		022 Distributions.ipynb
031 Normal-inverse-gamma.ipynb		031 Normal-inverse-gamma.ipynb
032 Medical trial.ipynb		032 Medical trial.ipynb
041 Norminvgamma.ipynb		041 Norminvgamma.ipynb
051 Beta-binomial.ipynb		051 Beta-binomial.ipynb
052 Treatment effect.ipynb		052 Treatment effect.ipynb
062 Conditional probabilities.ipynb		062 Conditional probabilities.ipynb
062 Stan simulation.ipynb		062 Stan simulation.ipynb
071 Binomial distribution.ipynb		071 Binomial distribution.ipynb
072 Modeling elections.ipynb		072 Modeling elections.ipynb
091 Factor graph.ipynb		091 Factor graph.ipynb
091 Factor graphs.ipynb		091 Factor graphs.ipynb
101 GPS tracking I.ipynb		101 GPS tracking I.ipynb
102 Conjugate distribution.ipynb		102 Conjugate distribution.ipynb
102 GPS tracking II.ipynb		102 GPS tracking II.ipynb
112 TrueSkill.ipynb		112 TrueSkill.ipynb
121 Gaussian mixture.ipynb		121 Gaussian mixture.ipynb
131 Importance sampling.ipynb		131 Importance sampling.ipynb
132 Metropolis-Hastings.ipynb		132 Metropolis-Hastings.ipynb
CS146 0.0 Notes by Stark.pdf		CS146 0.0 Notes by Stark.pdf
CS146 13.2 PCW (Updated).ipynb		CS146 13.2 PCW (Updated).ipynb
CS146 7.2 PCW (Updated).ipynb		CS146 7.2 PCW (Updated).ipynb
CS146 7.2 PCW (Updated).pdf		CS146 7.2 PCW (Updated).pdf
Defensive sampling.ipynb		Defensive sampling.ipynb
MCMC_MH.png		MCMC_MH.png
README.md		README.md
Rejection samling demo.ipynb		Rejection samling demo.ipynb
[CS146] Assignment II.ipynb		[CS146] Assignment II.ipynb
[CS146] Assignment II.pdf		[CS146] Assignment II.pdf
[CS146] Assignment III.ipynb		[CS146] Assignment III.ipynb
[CS146] Assignment III.pdf		[CS146] Assignment III.pdf
[CS146] Assignment VI.ipynb		[CS146] Assignment VI.ipynb
[CS146] Assignment VI.pdf		[CS146] Assignment VI.pdf

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Modern_Computational_Statistics

MODERN COMPUTATIONAL STATISTICS

Assignment II: Call center data modeling.
Assignment III: Using Stan Models.
LBA: Modeling Grocery Prices.
Assignemnt IV: Model Checking.
Final Project: Forecasting Carbon Dioxide.

Approximating the poterior distribution using Markov Chain Monte Carlo

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Connecting probability theory and statistics with Bayesian inference. Focusing on the data modeling process, probabilistic graphical models and Monte Carlo sampling.

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