activity
20092026
most citedDeep Learning for Short-Term Traffic Flow Prediction

1k citations · 1.6k across the 56 of their papers we have counts for

collaborators

66 papers

q-fin.PR2026

Perpetual Futures for Stocks: The SpaceX Pre-IPO Market

Aditya Gupta, Nick Polson

Robert Shiller proposed perpetual futures in 1993 to create derivative markets for assets that are illiquid or whose price cannot be observed directly, such as single family homes,…

stat.ME2026

Horseshoe Priors for Spatial Small Area Estimation: Regular Variation, Tail Robustness, and Deep Learning

Dhiman Bhadra, Nicholas Polson

Small area estimation borrows strength across domains to repair the poor precision of direct survey estimators. Two philosophies dominate the area-level literature. The first, desc…

cs.AI2023★ 3 cited

The Value of Chess Squares

Aditya Gupta, Shiva Maharaj, Nicholas Polson +1

We propose a neural network-based approach to calculate the value of a chess square-piece combination. Our model takes a triplet (Color, Piece, Square) as an input and calculates a…

stat.ME2023

Generative Causal Inference

Maria Nareklishvili, Nicholas Polson, Vadim Sokolov

Generative Bayesian Computation (GBC) methods are developed for Casual Inference. Generative methods are simulation-based methods that use a large training dataset to represent pos…

stat.CO2023

Quantile Importance Sampling

Jyotishka Datta, Nicholas G. Polson

In Bayesian inference, the approximation of integrals of the form is a fundamental challenge. Such integrals are cr…

econ.EM2023

Feature Selection for Personalized Policy Analysis

Maria Nareklishvili, Nicholas Polson, Vadim Sokolov

In this paper, we propose Forest-PLS, a feature selection method for analyzing policy effect heterogeneity in a more flexible and comprehensive manner than is typically available w…