5 papers · 1 filter
Single and multi-objective optimal designs for group testing experiments with a focus on screening for an infectious disease
Chi-Kuang Yeh, Weng Kee Wong, Julie Zhou
Group testing techniques are widely used in resource-constrained settings, such as infectious-disease screening, blood safety, DNA library screening, and industrial inspection, whe…
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
Siyan Liu, Chi-Kuang Yeh, Xin Zhang +2
This study introduces a new approach to addressing positive and unlabeled (PU) data through the double exponential tilting model (DETM). Traditional methods often fall short becaus…
CVXSADes: a stochastic algorithm for constructing optimal exact regression designs with single or multiple objectives
Chi-Kuang Yeh, Julie Zhou
We propose an algorithm to construct optimal exact designs (EDs). Most of the work in the optimal regression design literature focuses on the approximate design (AD) paradigm due t…
Functional Spherical Autocorrelation: A Robust Estimate of the Autocorrelation of a Functional Time Series
Chi-Kuang Yeh, Gregory Rice, Joel A. Dubin
We propose a new autocorrelation measure for functional time series that we term spherical autocorrelation. It is based on measuring the average angle between lagged pairs of serie…
Evaluating real-time probabilistic forecasts with application to National Basketball Association outcome prediction
Chi-Kuang Yeh, Gregory Rice, Joel A. Dubin
Motivated by the goal of evaluating real-time forecasts of home team win probabilities in the National Basketball Association, we develop new tools for measuring the quality of con…