Identifiers
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name variant
Nicholas G. Polson
0.60 · backfill
Papers (41)
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An Old Look at Empirical Bayes
stat.ME · 2026 · author #1
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Bayesian Regularization: From Tikhonov to Horseshoe
stat.ME · 2019 · author #1
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Bayesian Hypothesis Testing: Redux
math.ST · 2018 · author #2
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Deep Learning
stat.ML · 2018 · author #1
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Riemann Hypothesis: a GGC factorisation
math.GM · 2018 · author #1
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Deep Learning for Predicting Asset Returns
stat.ML · 2018 · author #3
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Riemann, Thorin, van Dantzig Pairs, Wald Couples and Hadamard Factorisation
math.PR · 2018 · author #1
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On Hilbert's 8th Problem
math.GM · 2017 · author #1
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Lasso Meets Horseshoe : A Survey
stat.ME · 2017 · author #3
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Bayesian $l_0$-regularized Least Squares
stat.ML · 2017 · author #1
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Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading
stat.ML · 2017 · author #2
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From Least Squares to Signal Processing and Particle Filtering
stat.ME · 2017 · author #2
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Horseshoe Regularization for Feature Subset Selection
stat.ML · 2017 · author #3
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Regularizing Bayesian Predictive Regressions
stat.ME · 2016 · author #2
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Prediction risk for the horseshoe regression
math.ST · 2016 · author #4
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Global-Local Mixtures
math.ST · 2016 · author #3
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The Market for English Premier League (EPL) Odds
stat.AP · 2016 · author #2
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Sequential Bayesian Analysis of Multivariate Count Data
stat.ME · 2016 · author #2
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A deconvolution path for mixtures
stat.ME · 2015 · author #2
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Default Bayesian analysis with global-local shrinkage priors
stat.ME · 2015 · author #3
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A Statistical Theory of Deep Learning via Proximal Splitting
stat.ML · 2015 · author #1
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Proximal Algorithms in Statistics and Machine Learning
stat.ML · 2015 · author #1
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The Horseshoe+ Estimator of Ultra-Sparse Signals
math.ST · 2015 · author #3
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Vertical-likelihood Monte Carlo
stat.CO · 2014 · author #1
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Mixtures, envelopes, and hierarchical duality
stat.ME · 2014 · author #1
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Sampling Polya-Gamma random variates: alternate and approximate techniques
stat.CO · 2014 · author #2
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Optimisation via Slice Sampling
math.OC · 2012 · author #2
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Split Sampling: Expectations, Normalisation and Rare Events
stat.CO · 2012 · author #3
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Bayesian inference for logistic models using Polya-Gamma latent variables
stat.ME · 2012 · author #1
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An empirical test for Eurozone contagion using an asset-pricing model with heavy-tailed stochastic volatility
q-fin.ST · 2011 · author #1
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Analyzing Risky Choices: Q-Learning for Deal-No Deal
stat.AP · 2011 · author #2
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Default Bayesian analysis for multi-way tables: a data-augmentation approach
stat.ME · 2011 · author #1
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The Bayesian Bridge
stat.ME · 2011 · author #1
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On the half-Cauchy prior for a global scale parameter
stat.ME · 2011 · author #1
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Data augmentation for non-Gaussian regression models using variance-mean mixtures
stat.ME · 2011 · author #1
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Particle Learning and Smoothing
stat.ME · 2010 · author #4
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Good, great, or lucky? Screening for firms with sustained superior performance using heavy-tailed priors
stat.ME · 2010 · author #1
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Local shrinkage rules, Levy processes, and regularized regression
stat.ME · 2010 · author #1
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Simulation-based Regularized Logistic Regression
stat.ME · 2010 · author #2
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Dynamic Trees for Learning and Design
stat.ME · 2009 · author #3
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Particle learning of Gaussian process models for sequential design and optimization
stat.CO · 2009 · author #2
Mentions
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1511.06750
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1510.03516
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1509.06061
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Nicholas G. Polson
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1502.03175
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1502.00560
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1708.02653
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1409.3601
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1406.0177
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1405.0506
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1212.2135
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1212.0534
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1205.0310
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2605.21535
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1110.5789
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1110.0883
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1109.4180
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1109.2279
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1104.4937
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1103.5407
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1011.1098
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1010.5223
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1010.3390
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1005.3430
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0912.1586
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0909.5262
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