Drunk Agile

Episode 4 - MonteCarlo What Not To Do

22 snips
Jan 19, 2021
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Episode notes
1
Introduction
00:00 • 2min
2
What Not to Do With Monte Carlo
01:34 • 3min
3
The Problem With Probability Distributions
04:18 • 3min
4
The Problem With Too Much Data to Run Monte Carlo
07:03 • 3min
5
What Not to Do With Monte Carlo
10:22 • 4min
6
The Importance of Prioritization in Split Rate
14:50 • 2min
7
The Flaw of Averages Thinking
16:56 • 2min
8
The Importance of Prioritization Decisions
18:36 • 2min
9
Continuous Forecasting for Monte Carlo Simulations
20:56 • 2min
10
The Problems With Arrival Rate Forecasting
22:58 • 3min
11
The Importance of Continuous Forecasting
25:53 • 2min
12
The Importance of Continuous Forecasting
27:24 • 2min
13
Continuous Forecasting for Hurricanes
29:10 • 2min
14
The Role of the National Hurricane Center in Predicting Hurricanes
31:19 • 2min
15
How to Be Agile With Your Modeling
33:10 • 2min
16
Monte Carlo Simulation: What to Do and What Not to Do
34:46 • 2min
17
The Importance of Prioritization Decisions
36:35 • 3min