Results 1 to 10 of about 20,585 (102)
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
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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
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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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Pivotal estimation via square-root Lasso in nonparametric regression [PDF]
, 2013 We propose a self-tuning $\sqrt{\mathrm {Lasso}}$ method that simultaneously resolves three important practical problems in high-dimensional regression analysis, namely it handles the unknown scale, heteroscedasticity and (drastic) non-Gaussianity of the
Belloni, Alexandre +2 more
core +3 more sources
Recent advances in directional statistics [PDF]
, 2020 Mainstream statistical methodology is generally applicable to data observed in Euclidean space. There are, however, numerous contexts of considerable scientific interest in which the natural supports for the data under consideration are Riemannian ...
García-Portugués, Eduardo +1 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
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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
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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 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
, 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
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