https://github.com/statsim/models
StatSim models (deterministic and probabilistic)
https://github.com/statsim/models
json modeling models statistical-models statsim-models
Last synced: about 1 month ago
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StatSim models (deterministic and probabilistic)
- Host: GitHub
- URL: https://github.com/statsim/models
- Owner: statsim
- Created: 2018-09-25T06:07:31.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2020-11-30T15:28:32.000Z (over 5 years ago)
- Last Synced: 2025-01-05T22:25:13.174Z (over 1 year ago)
- Topics: json, modeling, models, statistical-models, statsim-models
- Language: Jupyter Notebook
- Homepage: https://statsim.com/models/
- Size: 1.29 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# StatSim Models
StatSim examples
## Deterministic models
* [Compound interest calculator](https://statsim.com/app/?m=compound)
* [Monthly payment for a fixed rate mortgage](https://statsim.com/app/?m=loan)
* [Predator-prey model (Lotka-Voltera)](https://statsim.com/app/?m=predatorprey)
## Random variables
* [Accumulator](https://statsim.com/app/?m=accumulator)
* [Pi approximation](https://statsim.com/app/?m=pi)
## Bayesian inference
* [Base rate fallacy](https://statsim.com/app/?m=brt)
* [Bayesian A/B testing](https://statsim.com/app/?m=abtest)
* [Conversion rate estimation](https://statsim.com/app/?m=conversion-rate)
* [First-order autoregressive model (AR1)](https://statsim.com/app/?m=autoreg)
* [Linear regression](https://statsim.com/app/?m=linreg)
* [Messages (from BMFH ch.1)](https://statsim.com/app/?m=messages)
## Working with multiple models
* [Pareto distribution from scratch](https://statsim.com/app/?m=pareto)
## Bayesian neural networks
* [Basic example](https://statsim.com/app/?m=nnsum)