• Multiple Testing via FDRL for Large Scale Imaging Data
• Regression Density Estimation and Stochastic Approximation
• Summary of ‘On the Stability of Sequential Monte Carlo Methods in High Dimensions’
• A Sequential Monte Carlo Approach to Computing Tail Probabilities in Stochastic Models
• Central Limit Theorem for Hotelling’s T2 Statistics under Large Dimensions
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