Mahsa Ashouri
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  • Papers
  • Talks
  • Teaching
ESC

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  • Events
    • Linear Forecast Reconciliation: From Hierarchical Time Series to Traffic Anomaly Detection
  • Publications
    • Generalized Bayesian additive regression trees for restricted mean survival time inference
    • Analyzing Taiwanese traffic patterns on consecutive holidays through forecast reconciliation and prediction-based anomaly detection techniques
    • Evaluating and testing for actionable treatment effect heterogeneity
    • An interactive clustering-based visualization tool for air quality data analysis
    • Interactive tool for clustering and forecasting patterns of Taiwan COVID-19 spread
    • A leading author model for the popularity effect on scientific collaboration
    • Fast forecast reconciliation using linear models
    • Forecasting daily accommodation occupancy for supply preparation by a sharing economy platform
    • Tree-based methods for clustering time series using domain-relevant attributes
    • A deep learning approach to bank direct marketing
    • Assessing the value of an information system for developing predictive analytics: the case of forecasting school-level demand in Taiwan
  • Teaching
    • STA404
    • STA652
    • STA309
    • BIOSTAT592
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • STA404
  • STA652
  • STA309
  • BIOSTAT592
Teaching
STA404

STA404

Description Techniques to understand, design, critique, and tell a story about data visualizations.

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Last updated on Jan 26, 2025
STA309 Aug 21, 2024 →

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