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07/08/2023
The Value of Chess Squares
Valuing chess squares and determining the placement of pieces on the boa...
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06/28/2023
Generative Causal Inference
In this paper we propose the use of the generative AI methods in Econome...
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07/06/2022
Deep Partial Least Squares for IV Regression
In this paper, we propose deep partial least squares for the estimation ...
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04/29/2022
Inverse Probability Weighting: the Missing Link between Survey Sampling and Evidence Estimation
We consider the class of inverse probability weight (IPW) estimators, in...
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06/26/2021
Deep Learning Partial Least Squares
High dimensional data reduction techniques are provided by using partial...
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06/03/2021
Bayesian Inference for Gamma Models
We use the theory of normal variance-mean mixtures to derive a data augm...
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08/26/2018
Deep Learning: Computational Aspects
In this article we review computational aspects of Deep Learning (DL). D...
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03/24/2018
Posterior Concentration for Sparse Deep Learning
Spike-and-Slab Deep Learning (SS-DL) is a fully Bayesian alternative to ...
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12/11/2017
Exceedance as a measure of sparsity
Sparsity is defined as a limiting property of a sequence of probability ...
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09/01/2017
Sparse Regularization in Marketing and Economics
Sparse alpha-norm regularization has many data-rich applications in mark...
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06/01/2017