DSA ADS Course - 2021
Applied Probability, Causal Data Science, Causal Graphical Models
Discuss probability theory and practice using graphs and causal reasoning.
2013 - Introduction to Probabilities, Graphs, and Causal Models
DSA ADS Course - 2021
Probabilistic Logic, Probability Theory, Causality, Causal Inference, Applied Probability, Statistics
Discuss applied probability theory and causality.
The Causal Foundations of Applied Probability and Statistics - November, 2020
Abstract
DSA ADS Course - 2021
Game Theory, Applied Probability, Scenario Planning, Evolutionary Game Theory
Important to have basic knowledge of game theory.
Game theory considers problems confronted by decision-makers with diverging interests like firms competing for a market. Players have to choose between strategies whose payoff depends on their rivals’ strategies. This interdependence leads to a mutual ‘outguessing’, as with chess (she thinks that I think that she thinks…).
DSA ADS Course - 2021
Applied Probability, Causal Data Science, Probabilistic Reasoning, Markov Chain Monte Carlo
Reasoning under Uncertainty: Some Monte Carlo Results - 1991
Abstract
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
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
DSA ADS Course - 2021
Applied Probability, Probability Theory, Medical Diagnosis, Medical Testing, Probability of Diagnosis
Probability theory and accuracy in medical diagnosis. Estimating probability of diagnosis is critical job of front line physicians and many overestimate probabilities ordering unwarranted tests and overtreatment.
Textbook example of failure of many physicians to accurately compute probability - JAMA study in 2021
DSA ADS Course - 2021
Foundations of the Theory of Probability - Kolmogorov
Data Science, Applied Probability, Probability Theory
2013
External Course
The starting point of theories of probabilistic causation is that causes raise the probabilities of their effects; however the road to a satisfactory account of the relationship between causes and probabilisties has proven to be long and fraught with dificulties. This work offers a survey of the main problems and solutions emerged in about thirty years of research, and points to some metaphysical problems that are still object of philosophical debate.