Metadata-Version: 2.5
Name: debiased-inference
Version: 0.1.1
Summary: Bootstrap inference with debiased nonparametric estimators
Project-URL: Homepage, https://github.com/mathcg/debiased-inference
Project-URL: Repository, https://github.com/mathcg/debiased-inference.git
Project-URL: Issues, https://github.com/mathcg/debiased-inference/issues
Project-URL: Paper, https://doi.org/10.1214/19-EJS1575
Author: Gang Cheng, Yen-Chi Chen
License: MIT License
        
        Copyright (c) 2026 Gang Cheng and Yen-Chi Chen
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
License-File: LICENSE
Keywords: bootstrap,confidence-bands,kernel-density,nonparametric-regression
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.10
Requires-Dist: numpy>=1.23
Provides-Extra: dev
Requires-Dist: ruff>=0.6; extra == 'dev'
Provides-Extra: test
Requires-Dist: pytest-cov>=4; extra == 'test'
Requires-Dist: pytest>=7; extra == 'test'
Description-Content-Type: text/markdown

# debiased-inference (Python)

Python implementation of the procedures in Cheng and Chen,
[“Nonparametric Inference via Bootstrapping the Debiased
Estimator”](https://projecteuclid.org/journalArticle/Download?urlId=10.1214%2F19-EJS1575).

If you use these methods or this software, please cite the paper (Electronic
Journal of Statistics 13(1), 2019; doi:10.1214/19-EJS1575).

```console
python -m pip install debiased-inference
```

```python
import numpy as np
from debiased_inference import kde_confidence_band

rng = np.random.default_rng(2026)
sample = rng.normal(size=300)
band = kde_confidence_band(sample, n_boot=499, random_state=2026)
print(band)
```

The package also provides debiased local-linear regression, density level-set
and inverse-regression confidence sets, normal-reference and cross-validated
bandwidth selectors, and a studentized density band. The project repository
contains the full statistical specification and cross-language API guide.
