Julian Stander

Statistics and Probability · 2003–2007

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 10 citations into it; #3,110 of 12,932 by trust here, #2,965 by citations
• Artificial Intelligence — 5 citations into it; #12,537 of 35,345 by trust here, #30,347 by citations

Whom Julian Stander trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Athanasios Kottas
2. Stephen Portnoy
3. T. Mroz
4. Keming Yu
5. Victor Chernozhukov
6. Siddhartha Chib
7. Bernard Walter Silverman
8. Yannis Bilias
9. Zongwu Cai
10. James W. Taylor

Who trusts Julian Stander overall

1. Craig Reed
2. Hideo Kozumi
3. Wolfgang Karl Härdle
4. Matt Taddy
5. Yunwen Yang
6. Keming Yu
7. Athanasios Kottas
8. Genya Kobayashi

Papers from Julian Stander's perspective

Ordered by how strongly the researchers Julian Stander trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions
2. Marginal Likelihood From the Metropolis–Hastings Output
3. Simple resampling methods for censored regression quantiles
4. Some Aspects of the Spline Smoothing Approach to Non‐Parametric Regression Curve Fitting
5. Censored Regression Quantiles
6. REGRESSION QUANTILES FOR TIME SERIES (Econometric Theory)
7. Bayesian Semiparametric Median Regression Modeling
8. Portfolio style: Return-based attribution using quantile regression
9. An MCMC approach to classical estimation
10. Monte Carlo Methods in Bayesian Computation

Their papers

• Quantile regression: applications and current research areas (2003) — 735 citations
• Bayesian analysis of a Tobit quantile regression model (2007) — 137 citations