Comments (1)
For details see #97
from jaxampler.
Related Issues (20)
- Broadcasting arrays making objects heavy
- Shapes of parameter is not influencing the `rvs` of a random variable (distribution)
- Use pre-commit hooks for CI
- Incompatible types in static type analysis using `pyright`
- Incompatible method overriding HOT 1
- Add No U-Turn Sampler (NUTS) [Adaptation of HMC] HOT 1
- JAX operations are for `ArrayLike` objects but we are passing `Numeric` typed objects
- Add `verbose`
- Lack of standard nomenclature among similar classes
- `rvs.Binomial.cdf_x` is not working as expected for shaped `n` HOT 1
- Incorrect implementation of `rvs.Triangular.logcdf_x` HOT 1
- Statistical measures like mean, median and other higher order measures for different distribution
- Integer arguments causing `OverflowError: cannot convert float infinity to integer`
- To generate a model by using various distributions HOT 3
- Location–scale family of `jaxampler.rvs` HOT 1
- `rvs` function contains unnecessary details which can be abstracted away!
- Factory method for `xxf` function to overcome the decision of using `xxf_x` and `xxf_v`
- Expression Tree to evaluate the algebraic combination of `rvs`
- Single type for Random Variables
- Module not found after freshly installation
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