Results 131 to 140 of about 30,567 (245)
Quantile Treatment Effects in the Regression Discontinuity Design: Process Results and Gini Coefficient [PDF]
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large ...
Frölich, Markus, Melly, Blaise
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Multivariate representations of univariate marked Hawkes processes
Scandinavian Journal of Statistics, EarlyView.Abstract Univariate marked Hawkes processes are used to model a range of real‐world phenomena including earthquake aftershock sequences, contagious disease spread, content diffusion on social media platforms, and order book dynamics. This paper illustrates a fundamental connection between univariate marked Hawkes processes and multivariate Hawkes ...
Louis Davis +3 more
wiley +1 more source
AN EFFECTIVE TECHNIQUE OF MULTIPLE IMPUTATION IN NONPARAMETRIC QUANTILE REGRESSION [PDF]
, 2014 Hu -
openalex +1 more source
Interval identification of natural effects in the presence of outcome‐related unmeasured confounding
Scandinavian Journal of Statistics, EarlyView.Abstract With reference to a binary outcome and a binary mediator, we derive identification bounds for natural effects under a reduced set of assumptions. Specifically, no assumptions about confounding are made that involve the outcome; we only assume no unobserved exposure‐mediator confounding as well as a pair of conditions termed Partially Constant ...
Marco Doretti, Elena Stanghellini
wiley +1 more source
Global Bahadur representation for nonparametric censored regression quantiles and its applications [PDF]
This paper is concerned with the nonparametric estimation of regression quantiles where the response variable is randomly censored. Using results on the strong uniform convergence of U-processes, we derive a global Bahadur representation for the weighted
Efang Kong, Oliver Linton, Yingcun Xia
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Sensitivity analysis for generalized estimating equation with non‐ignorable missing data
Scandinavian Journal of Statistics, EarlyView.Abstract Many incomplete‐data statistical inference procedures are developed under the missing at random (MAR) assumption. However, the MAR assumption has been criticized as being overly strong for real‐data problems, and is unverifiable by using observed data. To handle data that are missing not at random (MNAR), sensitivity analysis has been proposed
Hui Gong, Kin Wai Chan
wiley +1 more source
Journal of Dairy Science: The ability of a dairy cow to perform reliably over time is an interesting trait to include in dairy cattle breeding programs aimed at improving dairy cow resilience.
Fiona L. Guinan +3 more
doaj +1 more source
Regression discontinuity design with covariates [PDF]
In this paper, the regression discontinuity design (RDD) is generalized to account for differences in observed covariates X in a fully nonparametric way. It is shown that the treatment effect can be estimated at the rate for one-dimensional nonparametric
Markus Frölich
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Veterinary Clinical Pathology, EarlyView.ABSTRACT Background Measurement of liver enzymes and metabolites for both clinically healthy and sick cattle is a routine part of dairy herd management. Reference intervals (RIs) are influenced by many variables, including pregnancy, breeding, and geographical variables, and can shift over time.
Anna Theile +2 more
wiley +1 more source
The Stochastic Fluctuation of the Quantile Regression Curve [PDF]
Let (X1, Y1), . . ., (Xn, Yn) be i.i.d. rvs and let l(x) be the unknown p-quantile regression curve of Y on X. A quantile-smoother ln(x) is a localised, nonlinear estimator of l(x).
Song Song, Wolfgang Härdle
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