# Applied Probability

## The Causal Foundations of Applied Probability and Statistics

DSA ADS Course - 2023

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

## Introduction to Probabilities, Graphs, and Causal Models

DSA ADS Course - 2022

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

## Introduction to Graphical Models and Bayesian Networks

DSA ADS Course - 2022

Graphical Models, Bayesian Networks, Applied Probability, Probabilistic Causation, Causal Inference

Applied data scientists require high-level understanding of probability theory and specialized techniques to design systems and solve problems in the real world.  Graphical model formalism provides a natural framework for the design of new data science systems.

## Introduction to Probability

DSA ADS Course - 2022

Probability Theory, Applied Probability, Probabilistic Causation, Causal Inference

Understanding applied probability and accurate assessment of real-world risk is a critical part of high value data science.

## Evolutionary Game Theory: Game Theory, Applied Probability, Scenario Planning

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…).

## Reasoning Under Uncertainty: Some Monte Carlo Results

DSA ADS Course - 2021

Applied Probability, Causal Data Science, Probabilistic Reasoning, Markov Chain Monte Carlo

Reasoning under Uncertainty: Some Monte Carlo Results - 1991

Abstract

## 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.

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.