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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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05/24/2023
Generative AI for Bayesian Computation
Generative AI (Gen-AI) methods are developed for Bayesian Computation. G...
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09/05/2022
Deep Learning Gaussian Processes For Computer Models with Heteroskedastic and High-Dimensional Outputs
Deep Learning Gaussian Processes (DL-GP) are proposed as a methodology f...
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08/19/2022
On the Probability of Magnus Carlsen reaching 2900
How likely is it that Magnus Carlsen will achieve an Elo rating of 2900?...
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08/17/2022
Quantum Bayes AI
Quantum Bayesian AI (Q-B) is an emerging field that levers the computati...
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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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03/08/2022
Bayesian Calibration for Activity Based Models
We consider the problem of calibration and uncertainty analysis for acti...
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01/06/2022
Housing Market Forecasting using Home Showing Events
Both buyers and sellers face uncertainty in real estate transactions in ...
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12/23/2021
Bayesian Learning: A Selective Overview
This paper presents an overview of some of the concepts of Bayesian Lear...
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12/14/2021
Deep Generative Models for Vehicle Speed Trajectories
Generating realistic vehicle speed trajectories is a crucial component i...
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10/22/2021
Merging Two Cultures: Deep and Statistical Learning
Merging the two cultures of deep and statistical learning provides insig...
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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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02/04/2020
Stochastic Simulators: An Overview with Opportunities
In modern science, deterministic computer models are often used to under...
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06/11/2019
Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling
0-1 knapsack is of fundamental importance in computer science, business,...
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05/21/2019
Strategic Bayesian Asset Allocation
Strategic asset allocation requires an investor to select stocks from a ...
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02/17/2019
Bayesian Regularization: From Tikhonov to Horseshoe
Bayesian regularization is a central tool in modern-day statistical and ...
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10/08/2018
Practical Bayesian Optimization for Transportation Simulators
Simulators play a major role in analyzing multi-modal transportation net...
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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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08/16/2018
Deep Learning for Energy Markets
Deep Learning (DL) provides a methodology to predict extreme loads obser...
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07/07/2018
Effects of Predictive Real-Time Traffic Signal Information
This paper analyzes the impact of providing car drivers with predictive ...
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06/14/2018
Deep Reinforcement Learning for Dynamic Urban Transportation Problems
We explore the use of deep learning and deep reinforcement learning for ...
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10/12/2017
Clusters of Driving Behavior from Observational Smartphone Data
Understanding driving behaviors is essential for improving safety and mo...
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06/01/2017