# Items where Subject is "5.2.1 Probability theory"

- NCRM Typology (14)
- 5. Quantitative Data Handling and Data Analysis (14)
- 5.2 Statistical Theory and Methods of Inference (14)
**5.2.1 Probability theory**(14)

- 5.2 Statistical Theory and Methods of Inference (14)

- 5. Quantitative Data Handling and Data Analysis (14)

**14**.

## B

Bijak, Jakub and Nurse, Sarah
(2021)
*Understanding social data: An example of migration.*
[Video]

## D

Dienes, Zoltan
(2016)
*Bayes factors as a measure of strength of evidence in replication studies.*
In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath.
(Unpublished)

## G

Gelman, Andrew
(2016)
*Crimes against data.*
[Video]
(Unpublished)

## K

Katz, Gabriel
(2021)
*Advanced Bayesian Methods: The Basics of Bayesian Computation.*
[Video]

## R

Reinhardt, Oliver
(2021)
*Time in Agent-based models.*
[Video]

## V

Väisänen, Heini
(2021)
*Binary logistic regression: Interactions (video 3 of 3).*
[Video]

Väisänen, Heini
(2021)
*Binary logistic regression: Multivariate binary logistic regression (vid 2 of 3).*
[Video]

Väisänen, Heini
(2021)
*Binary logistic regression: introduction (video 1 of 3).*
[Video]

Väisänen, Heini
(2021)
*Multinomial logistic regression, Part 2: Multiple multinomial regression.*
[Video]

Väisänen, Heini
(2021)
*Multinominal logistic regression, Part 1: Introduction.*
[Video]

Väisänen, Heini
(2021)
*Ordinal regression Part 1: Introduction.*
[Video]

Väisänen, Heini
(2021)
*Ordinal regression Part 2: Multiple ordinal regression.*
[Video]

Väisänen, Heini
(2021)
*Ordinal regression Part 3: Proportional odds assumption.*
[Video]

## Z

Zhirnov, Andrei
(2021)
*DGP and Likelihood.*
[Video]