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A Joint Test of Unconfoundedness and Common Trends

Journal of Applied Econometrics, EarlyView.
ABSTRACT We introduce an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two‐period panel data setting: unconfoundedness and common trends. Under unconfoundedness, treatment assignment and post‐treatment outcomes are independent, conditional on control variables and pre‐treatment ...
Martin Huber, Eva‐Maria Oeß
wiley   +1 more source

Pseudo-Observation Approach for Length-Biased Cox Proportional Hazards Model. [PDF]

Biom J
Akbari M, Rad NN, Chen DG.
europepmc   +1 more source

While-alive regression analysis of composite survival endpoints. [PDF]

Biostatistics
Fang X, Uno H, Li F.
europepmc   +1 more source

Nonparametric Tests for Exponentiality Against IFRA Alternatives Based on Cumulative Extropy Measures. [PDF]

Entropy (Basel)
Alqefari AA.
europepmc   +1 more source

Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation. [PDF]

J Comput Graph Stat
Chen Z, Li R, Xu Y.
europepmc   +1 more source

Hazard-based distributional regression via ordinary differential equations. [PDF]

Stat Methods Med Res
A Christen J, J Rubio F.
europepmc   +1 more source

Estimating fMRI timescale maps. [PDF]

Imaging Neurosci (Camb)
Riegner G, Davenport S, Voytek B, Schwartzman A.   +3 more
europepmc   +1 more source

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Asymptotic properties of the estimators of the semi-parametric spatial regression model

Communications in Statistics - Theory and Methods, 2017
Spatial data and non parametric methods arise frequently in studies of different areas and it is a common practice to analyze such data with semi-parametric spatial autoregressive (SPSAR) models.
Peng Xiaozhi, Wu Hecheng, Ma Ling
openaire   +1 more source

Asymptotic properties of transfer function estimates using non-parametric noise models under relaxed assumptions

IFAC Proceedings Volumes, 2009
Abstract It is well known that under very general assumptions the discrete Fourier coefficients of filtered noise is asymptotically independent circular complex Gaussian distributed, based on a generalized central limit theorem (CLT). The standard results on the consistency and the asymptotic uncertainty of the frequency domain Errors-in-Variables ...
Barbé, Kurt, Pintelon, Rik, Schoukens, Joannes   +2 more
openaire   +2 more sources