Results 1 to 10 of about 20,798 (142)
Diversity and Community Structure of Stream Insects in a Minimally Disturbed Forested Watershed in Southern Illinois [PDF]
, 2018 The Lusk Creek Watershed, located in Pope County, IL, long has been rec- ognized as a high quality area of biological significance, but surveys of the stream macroinvertebrate fauna have been limited.
McPherson, J. E +2 more
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The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference [PDF]
, 2014 Background: Wiener-Granger causality (“G-causality”) is a statistical notion of causality applicable to time series data, whereby cause precedes, and helps predict, effect.
Aertsen +92 more
core +2 more sources
Inference for variograms [PDF]
, 2013 The empirical variogram is a standard tool in the investigation and modelling of spatial covariance. However, its properties can be difficult to identify and exploit in the context of exploring the characteristics of individual datasets.
Adrian W. Bowman +35 more
core +1 more source
Partial Identification in Matching Models for the Marriage Market
, 2020 We study partial identification of the preference parameters in models of one-to-one matching with perfectly transferable utilities, without imposing parametric distributional restrictions on the unobserved heterogeneity and with data on one large market.
Gualdani, Cristina, Sinha, Shruti
core +2 more sources
Inference on Counterfactual Distributions [PDF]
, 2012 Counterfactual distributions are important ingredients for policy analysis and decomposition analysis in empirical economics. In this article we develop modeling and inference tools for counterfactual distributions based on regression methods.
Chernozhukov, Victor +2 more
core +6 more sources
Privacy-Friendly Mobility Analytics using Aggregate Location Data [PDF]
, 2016 Location data can be extremely useful to study commuting patterns and disruptions, as well as to predict real-time traffic volumes. At the same time, however, the fine-grained collection of user locations raises serious privacy concerns, as this can ...
De Cristofaro, Emiliano +2 more
core +2 more sources
Building and using semiparametric tolerance regions for parametric multinomial models
, 2009 We introduce a semiparametric ``tubular neighborhood'' of a parametric model in the multinomial setting. It consists of all multinomial distributions lying in a distance-based neighborhood of the parametric model of interest. Fitting such a tubular model
Lindsay, Bruce G., Liu, Jiawei
core +1 more source
Inference for High-Dimensional Sparse Econometric Models [PDF]
, 2011 This article is about estimation and inference methods for high dimensional sparse (HDS) regression models in econometrics. High dimensional sparse models arise in situations where many regressors (or series terms) are available and the regression ...
Belloni, Alexandre +2 more
core +2 more sources
, 2014 Rapidly-exploring random trees (RRTs) are popular in motion planning because they find solutions efficiently to single-query problems. Optimal RRTs (RRT*s) extend RRTs to the problem of finding the optimal solution, but in doing so asymptotically find ...
Barfoot, Timothy D. +2 more
core +1 more source
Mass Volume Curves and Anomaly Ranking
, 2018 This paper aims at formulating the issue of ranking multivariate unlabeled observations depending on their degree of abnormality as an unsupervised statistical learning task.
Clémençon, Stephan, Thomas, Albert
core +4 more sources