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04/19/2023
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning
Representation learning has been increasing its impact on the research a...
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04/16/2023
Bayesian Causal Synthesis for Supra-Inference on Heterogeneous Treatment Effects
We propose a novel Bayesian methodology to mitigate misspecification and...
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03/10/2022
Spatially-Varying Bayesian Predictive Synthesis for Flexible and Interpretable Spatial Prediction
Spatial data are characterized by their spatial dependence, which is oft...
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03/11/2021
Convergence of Computed Dynamic Models with Unbounded Shock
This paper studies the asymptotic convergence of computed dynamic models...
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12/03/2019
Mean-shift least squares model averaging
This paper proposes a new estimator for selecting weights to average ove...
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11/20/2019