Data-Driven Decision-Making
The Sure Thing
DSA ADS Course - 2021
The Sure-Thing Principle, Causal Reasoning, Data-Driven Decision-Making, Algorithm Decision Making, Applied Probability, Nonlinear Utility Scale, Simpson’s Paradox, Blyth’s Game
Discuss applied probability, causal reasoning and types of decision making processes. Apply to both traditional algorithms and machine learning algorithms in decision making processes.
See also: The Sure-Thing Principle
The Sure Thing - 2021
Abstract
The Sure-Thing Principle
DSA ADS Course - 2021
The Sure-Thing Principle, Causal Reasoning, Data-Driven Decision-Making, Algorithm Decision Making, Applied Probability
Discuss applied probability, causal reasoning and types of decision making processes. Apply to both traditional algorithms and machine learning algorithms in decision making processes.
See also: The Sure Thing
The Sure-Thing Principle - 2016
Abstract
Optimizing Decision-Making Processes in Times of COVID-19: Using Reflexivity to Counteract Information-Processing Failures
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters
DSA External Course - 2021
April 8, 2021
Abstract
Graphical Depiction of Statistical Information Improves Gambling-Related Judgments
The Curse of Free-Will and the Paradox of Inevitable Regret
2013
Abstract
The paradox described below aims to clarify the principles by which empirical data are harnessed to guide decision making. It is motivated by the practical question of whether empirical assessments of the effect of treatment on the treated (ETT) can be useful for either policy evaluation or personal decisions.
Human Decisions and Machine Predictions
Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, Sendhil Mullainathan
Abstract: