
Financial Markets, Financial Volatility and Beyond (3rd ed.)
Seventeen open-access research articles on financial markets, volatility and risk management around the world.
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Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
Bayesian Data Analysis (3rd ed.) by Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin (2013) is a book on our Risk & quant shelf. The standard graduate text on Bayesian statistics, free as a PDF from the authors. It suits readers interested in risk & quant, and it is legally free from Andrew Gelman, Columbia University (CRC Press). Licence: Free PDF from the authors (non-commercial use).
Download free from Andrew Gelman, Columbia University (CRC Press)The standard graduate text on Bayesian statistics, free as a PDF from the authors. It covers priors and posteriors, hierarchical models, model checking, MCMC and Stan, regression, mixture and nonparametric models. Essential if you build forecasting or risk models and want to handle uncertainty properly.
The licence listed for this title is: Free PDF from the authors (non-commercial use). It is published free of charge by Andrew Gelman, Columbia University (CRC Press), and TopFreeBooks links only to that official source; we do not host the file.
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