Description
In Part II of this series, we cover the elements of statistical modeling, focusing on:
- validation methodology
- principles of object-oriented design
- linear and logistic regression
- generalized linear models
- causality
- time series analysis
- Bayesian statistics, including simulations in pymc3
- Modeling customer lifetime values, including a detailed study of the beta-Bernoulli/beta-binomial model, a discretized version of the classic Pareto/NBD
- an introduction to credibility theory
The theory is illustrated with simulations in Python throughout the text.
Author: Jared M. Maruskin
Publisher: Cayenne Canyon Press
Published: 01/17/2022
Pages: 356
Binding Type: Paperback
Weight: 1.10lbs
Size: 9.21h x 6.14w x 0.74d
ISBN13: 9781941043127
ISBN10: 1941043127
BISAC Categories:
- Mathematics | Probability & Statistics | Bayesian Analysis
- Mathematics | Probability & Statistics | Time Series
- Computers | Data Science | Data Modeling & Design
This title is not returnable