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Bayesian inference for financial markets using PyMC. Stochastic volatility models, regime-switching, Bayesian portfolio optimization, factor models, and Markov chain Monte Carlo for risk estimation.
Guided statistical analysis for test selection, assumption checks, power analysis, and APA-style reporting. Use when you need to choose an appropriate statistical test for your data and produce publication-ready results (including effect sizes and diagnostics).
emcee MCMC skill for Bayesian parameter estimation and posterior sampling in physics applications
Bayesian inference methods including prior selection, MCMC, and model comparison
PyMC probabilistic programming skill for hierarchical Bayesian models in physics data analysis
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
Bayesian modeling with PyMC 5: priors, likelihood, NUTS/ADVI sampling, diagnostics (R-hat, ESS), LOO/WAIC comparison, prediction. Hierarchical, logistic, GP variants; predictive checks.
Agent skill for Data Scientist, ML / AI Engineer, Data Analyst, published by oimiragieo. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Data Analyst, published by sunxd3. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Data Analyst, published by KunanonJ. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Data Analyst, published by majiayu000. Project details and file access are provided by the publisher.
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