Artículo: AMZ-B0FP9WJ3BB

Bayesian Sports Analytics with R: Predictive Modeling for Betting & Performance

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Sin stock
Peso con empaque
0.20 kg
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No
Condición
Nuevo
Producto de
Amazon

Sobre este producto
  • Core Bayesian ideas: Bayes’ theorem, priors vs. posteriors, likelihoods, and credible intervals—explained intuitively before you touch a model.
  • Practical tools in R: tidyverse for wrangling/visualization, brms and rstanarm for model fitting, bayesplot for diagnostics and uncertainty, plus sport-specific helpers like footBayes.
  • Modeling across sports: soccer, basketball, American football, baseball, and tennis.
  • Scoring/Outcome models: Poisson and Dixon–Coles goal models; Bradley–Terry and Elo-style ratings; hierarchical player/team effects with partial pooling.
  • Updating & forecasting: live and season-long win probabilities via Bayesian updating, plus simulation-based scenario forecasts.
  • Betting analytics: convert odds to implied probabilities, detect value, size stakes with the Kelly criterion, and assess results using Brier score, log loss, and calibration plots.
  • Validation & reliability: compare models with LOO and WAIC; diagnose fits with R-hat, effective sample size, and divergent-transition checks.

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