Basic univariate and bivariate statistics for symbolic data: a critical review [PDF]
arXiv, 2013 Some proofs of the problems of the basic statistics proposed for numeric symbolic data.
arxiv
The Methodology of “Varieties of Democracy” (V-Dem)1
Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique, 2019 This article describes and discusses the new generation of methodological responses to measuring democracy and related issues generated by Varieties of Democracy (V-Dem).
M. Coppedge +11 more
semanticscholar +1 more source
Response-adaptive randomization: an overview of designs and asymptotic theory [PDF]
arXiv, 2014 In this paper we provide an overview of important research works on response-adaptive randomization completed in the past decades.
arxiv
Regression analysis with compositional data containing zero values [PDF]
arXiv, 2015 Regression analysis with compositional data containing zero ...
arxiv
Comments on "Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead & Girolami [PDF]
arXiv, 2016 I would like to thank the authors for their interesting and very clearly presented paper discussing probabilistic solvers for ODEs and PDEs.
arxiv
Comments on `High-dimensional simultaneous inference with the bootstrap' [PDF]
arXiv, 2017 We provide comments on the article "High-dimensional simultaneous inference with the bootstrap" by Ruben Dezeure, Peter Buhlmann and Cun-Hui Zhang.
arxiv
Approximating Bayes factors from minimal ANOVA summaries: An extension of the BIC method [PDF]
arXiv, 2017 In this paper, I extend a method of Masson (2011) to develop an easy-to-use formula for performing Bayesian hypothesis tests from minimal ANOVA summaries.
arxiv
Private Graphon Estimation for Sparse Graphs [PDF]
, 2015 We design algorithms for fitting a high-dimensional statistical model to a large, sparse network without revealing sensitive information of individual members.
Borgs, Christian +2 more
core +1 more source
MALTS: Matching After Learning to Stretch
, 2021 We introduce a flexible framework that produces high-quality almost-exact matches for causal inference. Most prior work in matching uses ad-hoc distance metrics, often leading to poor quality matches, particularly when there are irrelevant covariates. In
Parikh, Harsh +2 more
core
Simple Confidence Intervals for MCMC Without CLTs [PDF]
arXiv, 2018 This short note argues that 95% confidence intervals for MCMC estimates can be obtained even without establishing a CLT, by multiplying their widths by 2.3.
arxiv