Ananya Roy
@ananyaroy97📊 PhD Student in Statistics @ NCSU |📚 Master's in Statistics @ Indian Statistical Institute | 💼 Formerly @ JP Morgan & Chase, Reserve Bank of India |
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I-shapedSpecialist — deep expertise in Jupyter Notebook
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Repos
4
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0
Growth
+18%
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Top Repositories
Research project on uncertainty quantification in deep learning, addressing overconfidence in neural networks. Compares Bayesian approaches such as Monte Carlo Dropout with bootstrap ensembles (standard, Bayesian, parametric). Simulation studies evaluate effects of dropout rates and noise on calibration, accuracy, and uncertainty estimation.
This report explores generalized data thinning using sufficient statistics to improve upon traditional data-splitting. It partitions data into independent components, preserving information about unknown parameters. The methodology is detailed and its effectiveness is shown in regression, cross-validation, and changepoint detection.
This project explores causal estimation in social networks, comparing methods like SEMs and TMLE. It highlights network dependencies, intervention strategies, and the impact of node degree on treatment effects.
Open Source Impact
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