Nick Polson

Nick Polson

University of Chicago

H-index: 53

North America-United States

About Nick Polson

Nick Polson, With an exceptional h-index of 53 and a recent h-index of 34 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of Bayesian MCMC, Financial Econometrics, Machine Learning, Particle Filtering, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Horseshoe Priors for Sparse Dirichlet-Multinomial Models

Quantile Importance Sampling

Deep partial least squares for instrumental variable regression

On the probability of Magnus Carlsen reaching 2900

Deep Learning: A Tutorial

On the Value of Chess Squares

Data augmentation for Bayesian deep learning

Generative Causal Inference

Nick Polson Information

University

Position

Professor of Econometrics and Statistics

Citations(all)

20108

Citations(since 2020)

8823

Cited By

14963

hIndex(all)

53

hIndex(since 2020)

34

i10Index(all)

109

i10Index(since 2020)

71

Email

University Profile Page

University of Chicago

Google Scholar

View Google Scholar Profile

Nick Polson Skills & Research Interests

Bayesian MCMC

Financial Econometrics

Machine Learning

Particle Filtering

Deep Learning

Top articles of Nick Polson

Title

Journal

Author(s)

Publication Date

Horseshoe Priors for Sparse Dirichlet-Multinomial Models

arXiv preprint arXiv:2402.09583

Yuexi Wang

Nicholas G Polson

2024/2/14

Quantile Importance Sampling

arXiv preprint arXiv:2305.03158

Jyotishka Datta

Nicholas G Polson

2023/5/4

Deep partial least squares for instrumental variable regression

Applied Stochastic Models in Business and Industry

Maria Nareklishvili

Nicholas Polson

Vadim Sokolov

2023/11

On the probability of Magnus Carlsen reaching 2900

Applied Stochastic Models in Business and Industry

Sohan Bendre

Shiva Maharaj

Nick Polson

Vadim Sokolov

2023/5

Deep Learning: A Tutorial

Nick Polson

Vadim Sokolov

2023/10/10

On the Value of Chess Squares

Entropy

Aditya Gupta

Shiva Maharaj

Nicholas Polson

Vadim Sokolov

2023/9/24

Data augmentation for Bayesian deep learning

Bayesian Analysis

Yuexi Wang

Nicholas Polson

Vadim O Sokolov

2023/12

Generative Causal Inference

arXiv preprint arXiv:2306.16096

Maria Nareklishvili

Nicholas Polson

Vadim Sokolov

2023/6/28

Kramnik vs Nakamura or Bayes vs p-value

Available at SSRN

Shiva Maharaj

Nick Polson

Vadim Sokolov

2023/11/27

Generative AI for Bayesian computation

arXiv preprint arXiv:2305.14972

Nicholas G Polson

Vadim Sokolov

2023/5/24

Quantum Bayesian computation

Applied Stochastic Models in Business and Industry

Nick Polson

Vadim Sokolov

Jianeng Xu

2023/11

Deep partial least squares for empirical asset pricing

arXiv preprint arXiv:2206.10014

Matthew F Dixon

Nicholas G Polson

Kemen Goicoechea

2022/6/20

Inverse Probability Weighting: from Survey Sampling to Evidence Estimation

arXiv preprint arXiv:2204.14121

Jyotishka Datta

Nicholas Polson

2022/4/29

Bayesian deep fundamental factor models

M Dixon

N Polson

2022

Feature Selection for Personalized Policy Analysis

arXiv preprint arXiv:2301.00251

Maria Nareklishvili

Nicholas Polson

Vadim Sokolov

2022/12/31

AI and Vivekananda

Available at SSRN 4711866

Shiva Maharaj

Nick Polson

2022/8/20

Gambits: Theory and evidence

Applied Stochastic Models in Business and Industry

Shiva Maharaj

Nick Polson

Christian Turk

2022/7

Weighted Bayesian bootstrap for scalable posterior distributions

Canadian Journal of Statistics

Michael A Newton

Nicholas G Polson

Jianeng Xu

2021/6

The horseshoe-like regularization for feature subset selection

Sankhya B

Anindya Bhadra

Jyotishka Datta

Nicholas G Polson

Brandon T Willard

2021/5

Merging two cultures: deep and statistical learning

arXiv preprint arXiv:2110.11561

Anindya Bhadra

Jyotishka Datta

Nick Polson

Vadim Sokolov

Jianeng Xu

2021/10/22

See List of Professors in Nick Polson University(University of Chicago)