Taking causal inference to the extreme!
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Updated
Nov 6, 2024 - Julia
Taking causal inference to the extreme!
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)
Simple Nonparametric Reinforcement Learning with Universal Interface
Created a model to estimate the measurement error existing in ROC curves - Measurement Error model, Bernstein polynomial Model, Contaminated Non-parametric Density Estimation, MLE, EM Algorithm, R
Tool for generating random variables that follows given frequency distibution using linear regressions in given intervals.
Samples of my work in programming and data analysis.
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