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We reviewed 3 live results for bayes rule and narrowed them down to the 3 options that look most worth comparing first.
The options are Bayesian Statistics, Bayes Rules!: An Introduction to Applied Bayesian Modeling and iShares Prime Money Market ETF.
Source: Duke University
Description
Bayesian Statistics is an online, self-paced course offered by Duke University's Department of Statistical Science as part of the Statistics with R Coursera Specialization. The course covers Bayesian inference, transforming prior probabilities into posterior probabilities with Bayes' rule, and practical modeling. Learners explore end-to-end analyses in R, credible regions, comparisons of means and proportions, Bayesian regression, multi-model inference, and prediction under the instruction of Duke faculty including Mine Çetinkaya-Rundel, David Banks, Colin Rundel, and Merlise Clyde.
Best for
data analysts, statisticians, learning Bayesian statistical modeling and implementing Bayesian inference in R
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Source: Routledge
Description
Bayes Rules!: An Introduction to Applied Bayesian Modeling by Alicia A. Johnson, Miles Q. Ott, and Mine Dogucu is a textbook published by Chapman & Hall. Designed for advanced undergraduate statistics students and practitioners, this 544-page introductory guide covers Bayesian thinking, conjugate families, Markov chain Monte Carlo simulation, regression, and hierarchical modeling with integrated R code, RStan tools, and the bayesrules package.
Best for
Advanced undergraduate statistics students, Data science practitioners, Introductory undergraduate Bayesian statistics courses and Self-study in applied Bayesian modeling and computation
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Source: BlackRock
Description
The iShares Prime Money Market ETF (PMMF) is an actively managed cash-alternative exchange-traded fund listed on the NYSE and managed by BlackRock. It seeks to provide capital preservation, liquidity management, and current income by investing in short-term credit instruments—including U.S. government agency repurchase agreements, certificates of deposit, and commercial paper—in compliance with SEC Rule 2a-7 money market regulations while providing daily transparency and intraday trading flexibility.
Best for
Individual investors, Cash managers, Preserving capital and Managing short-term cash liquidity
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| Compare | #1Bayesian Statistics | #2Bayes Rules!: An Introduction to Applied Bayesian Modeling | #3iShares Prime Money Market ETF |
|---|---|---|---|
| Source | Duke University | Routledge | BlackRock |
| Description | Bayesian Statistics is an online, self-paced course offered by Duke University's Department of Statistical Science as part of the Statistics with R Coursera Specialization. The course covers Bayesian inference, transforming prior probabilities into posterior probabilities with Bayes' rule, and practical modeling. Learners explore end-to-end analyses in R, credible regions, comparisons of means and proportions, Bayesian regression, multi-model inference, and prediction under the instruction of Duke faculty including Mine Çetinkaya-Rundel, David Banks, Colin Rundel, and Merlise Clyde. | Bayes Rules!: An Introduction to Applied Bayesian Modeling by Alicia A. Johnson, Miles Q. Ott, and Mine Dogucu is a textbook published by Chapman & Hall. Designed for advanced undergraduate statistics students and practitioners, this 544-page introductory guide covers Bayesian thinking, conjugate families, Markov chain Monte Carlo simulation, regression, and hierarchical modeling with integrated R code, RStan tools, and the bayesrules package. | The iShares Prime Money Market ETF (PMMF) is an actively managed cash-alternative exchange-traded fund listed on the NYSE and managed by BlackRock. It seeks to provide capital preservation, liquidity management, and current income by investing in short-term credit instruments—including U.S. government agency repurchase agreements, certificates of deposit, and commercial paper—in compliance with SEC Rule 2a-7 money market regulations while providing daily transparency and intraday trading flexibility. |
| Best for | data analysts, statisticians, learning Bayesian statistical modeling and implementing Bayesian inference in R | Advanced undergraduate statistics students, Data science practitioners, Introductory undergraduate Bayesian statistics courses and Self-study in applied Bayesian modeling and computation | Individual investors, Cash managers, Preserving capital and Managing short-term cash liquidity |
| Action | Duke University | Routledge | BlackRock |
| Rate this product |
"Bayesian Statistics from Duke University."
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