A Python package to access, download, view, and manipulate Cassini RADAR images in one place
"Evaluating Digital Agriculture Recommendations with Causal Inference". It was accepted and presented in the special track on Artificial Intelligence for Social Impact, AAAI-23
Repo for the paper "Survey calibration for causal inference: a simple method to balance covariate distributions”
Python Request Engine for Virtual Interferometric Survey
This repository provides the workshop materials for latent variable models applied to data on wartime sexual violence. This workshop was previously taught at Ashoka University (2018) and Michigan State University (2019).
This repository provides the Online Appendix, replication data and materials for Krüger & Nordås, A latent variable approach to measuring wartime sexual violence, in Journal of Peace Research
Matching Methods for Time-Varying Observational Studies, in R
Reproduce results from the paper "Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis. K. Chalkou et. al. Diagn Progn Res . 2021 Oct 27;5(1):17. doi: 10.1186/s41512-021-00106-6."
App for NWPA
Casual relationship between health insurance coverage and BMI.
Advanced Observational Astronomy, Spring 2024
Propensity scores in complex surveys
Processing and analysing data gathered by mammal watching.
Re-reduced classification spectra from the ePESSTO+ survey, used in the paper: "No rungs attached: A distance-ladder free determination of the Hubble constant through type II supernova spectral modelling." by C. Vogl et al. (2024).
SAS and R Assignments completed at Undergraduate Applied Statistics Program
A two-day NCRM course on causal analysis and machine learning provided in June 2021.
Creates mesopause temperature maps (not fully calibrated) from the UNIS Allsky Airglow Camera
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