10. Applications and Broader Impact: Sampling and Monte Carlo

Draft chapter

This chapter collects the broader-impact discussion and readings that accompanied Part II in AM207 (Harvard, Fall 2021). It will be expanded into a full chapter.

10.1. Readings

Applications and Broader Impact

• Small Data Can Play a Big Role in AI

• Incorporating Bayesian Ideas into Health-Care Evaluation

• A Bayesian Modelling Approach with Balancing Informative Prior for Analysing Imbalanced Data

• On Using Bayesian Methods to Address Small Sample Problems

• Item Response Theory for assessing students and questions (pt. 1)

• Simultaneous Discovery, Estimation and Prediction Analysis of Complex Traits Using a Bayesian Mixture Model

• Parkinson’s Disease Subtypes in the Oxford Parkinson Disease Centre (OPDC) Discovery Cohort

• One Size Doesn’t Fit All: Using Factor Analysis to Gather Validity Evidence When Using Surveys in Your Research