1 option
An introduction to latent variable models for data science.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Latent structure analysis.
- Latent variables.
- Physical Description:
- 1 online resource (1 video file (00:17:44)) : sound, colour
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in English.
- Summary:
- Robert Kubinec, PhD, postdoctoral researcher at the Niehaus Center for Globalization and Governance at Princeton University, discusses latent variable models, including what they are, how they are used, what research questions they can answer, kinds of data that can be gathered and analyzed, examples of their usage and what was learned, and resources for students looking to use these models.
- Participant:
- Academic, Robert Kubinec PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526497154
- OCLC:
- 1103517350
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.