EP20: Prof Rob Hyndman: Forecasting COVID, time-series, and why causality doesnt matter as much as you think.

1

Introduction

00:00 • 3min

2

Is Insider Trading the Only Way to Make Money in Financial Forecasting?

02:39 • 2min

3

Machine Learning Data Science

05:00 • 2min

4

COVID-19 - What's Your Approach Been Like?

06:34 • 4min

5

How Do You Measure the Accuracy of a Probabilistic Forecast?

10:39 • 4min

6

The Pandemic and the Models

14:59 • 3min

7

The Interactivity of the Role of the Essential Workers in an Economy

17:43 • 2min

8

What's the International Institute of Forecasters?

19:21 • 2min

9

What Are Good Practices in Forecasting?

21:03 • 3min

10

How Do You Choose Horizons?

24:20 • 2min

11

Is There a Use Case for Forecasting?

26:34 • 2min

12

Forecasting Uncertainty - What Is Knowable at That Range?

28:10 • 2min

13

Good Forecasting Practice Is Often Evolutionary

30:12 • 3min

14

The Role of Causality in Forecasting

32:45 • 3min

15

Is Your Model Fragile?

35:51 • 2min

16

How to Build a Trusted Forecast

37:36 • 2min

17

Forecasting and Error Management

39:31 • 2min

18

Is There a Biggest Threat From AI?

41:39 • 4min