Three-step censored quantile regression and extramarital affairs, J. Amer. Statist. Assoc., Journal of the American Statistical Association

By P. Rochus. 2002

195 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7a6bb4dff8dc62d210cd89c15e1eea10b5c51e70

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Citations in the corpus

Generalized Latent Factor Models for Social Network Analysis (2011, methodology): “These models include: the latent class model [Nowicki and Snijders, 2001] and its extensions [Kemp et al.”
DynGEM: Deep Embedding Method for Dynamic Graphs (2018, methodology): “Synthetic Data (SYN) : We generate synthetic dynamic graphs using Stochastic Block Model [Wang and Wong, 1987].”
Modelling and interpreting spectral energy distributions of galaxies with BEAGLE (2016, methodology): “The scale adopted here, first proposed by Kass & Raftery (1995), is similar to the original scale of Jeffreys (1961), hence switching between the two scales will not significantly alter our conclusions. the distribution of 2 ln K for the 3243 UVUDF galaxies identified to have multiple redshift…”
A decoder-only foundation model for time-series forecasting (2023, methodology): “We choose TourismL (Tourism Large) [WAH19] as one of the target datasets.”
Comprehensive definitions of breakdown points for independent and dependent observations (2003, background): “The main point of Stromberg and Ruppert (1992) to discuss this model is that if outliers are such that the estimator for K diverges while that for remains constant, the estimator is broken in the Donoho-Huber sense.”
Unbiased Learning-to-Rank with Biased Feedback (2016, methodology): “Using this counterfactual modeling setup, we can get an unbiased estimate of ∆(y|xi, ri) for any new ranking y (typically different from the presented ranking ȳi) via the inverse propensity scoring (IPS) estimator [Horvitz and Thompson, 1952; Rosenbaum and Rubin, 1983; Imbens and Rubin, 2015]”
Stochastic blockmodels and community structure in networks (2010, background): “Just as the fitting of a straight line to intrinsically curved data is likely to miss important features of the data, so a fit of the simple stochastic blockmodel to the structure of a complex network is likely to miss much and, as we will show, can in some cases give radically incorrect answers.”
A general framework for reducing variance in agent evaluation (2010, methodology): “Note that the Brown-Forsythe test with the median is used because it is robust to many types of nonnormal data (unlike the F-test) [Brown and Forsythe, 1974].”
JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems (2014, unknown): “The Shannon information content was shown to be the unique formulation for a local entropy (up to the base of the logarithm) satisfying required properties corresponding to those of the average Shannon entropy (see [99] for details).”