Maxim Panov
Statistics and Probability · 2013–2020
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 26 citations into it; #8,097 of 12,932 by trust here, #10,855 by citations
- Artificial Intelligence — 22 citations into it; #22,120 of 35,345 by trust here, #32,362 by citations
Whom Maxim Panov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Spokoiny
- Subhashis Ghosal
- Stéphane Boucheron
- Dennis D. Cox
- Iain M. Johnstone
- Yongdai Kim
- Peter J. Bickel
- Victor Chernozhukov
- Jörg Polzehl
- I. Castillo
Who trusts Maxim Panov overall
Papers from Maxim Panov's perspective
Ordered by how strongly the researchers Maxim Panov trusts endorse each paper. Same corpus, a different order for every researcher.
- An Analysis of Bayesian Inference for Nonparametric Regression
- A Bernstein–von Mises theorem in the nonparametric right-censoring model
- On the Bernstein-von Mises Theorem with Infinite Dimensional Parameters
- A Bernstein-Von Mises Theorem for discrete probability distributions
- Asymptotic Normality of Posterior Distributions for Exponential Families when the Number of Parameters Tends to Infinity
- The Bernstein–von Mises theorem for the proportional hazard model
- BERNSTEIN-VON MISES THEOREM FOR LINEAR FUNCTIONALS OF THE DENSITY
- Nonparametric Bernstein–von Mises theorems in Gaussian white noise
- Regression Shrinkage and Selection via the Lasso
- Asymptotic normality of posterior distributions in high-dimensional linear models
Their papers
- Finite Sample Bernstein -- von Mises Theorem for Semiparametric Problems (2013) — 46 citations
- Critical dimension in the semiparametric Bernstein—von Mises theorem (2014) — 6 citations
- NCVis: Noise Contrastive Approach for Scalable Visualization (2020)