Results 31 to 40 of about 1,306,091 (274)
Proceedings, 2018 Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric kernel hazard rate estimation (smoothed ...
Inés Barbeito, Ricardo Cao
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Modeling the Public Transport Networks: A Study of Their Efficiency
Complexity, 2021 The public transportation network (PTN) provides mobility and access to community resources, employment, medical care, infrastructures, and other resources in the city.
Mary Luz Mouronte-López
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Smoothed instrumental variables quantile regression [PDF]
The Stata Journal, 2022 In this article, I introduce the sivqr command, which estimates the coefficients of the instrumental variables quantile regression model introduced by Chernozhukov and Hansen (2005, Econometrica 73: 245–261).
David M. Kaplan
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Smoothed Bootstrap und seine Anwendung in parametrischen Testverfahren
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2015 In empirical research, the distribution of observations is usually unknown. This creates a problem if parametric methods are to be employed. The functionality of parametric methods relies on strong parametric assumptions. If these are violated the result
Handschuh, Dmitri, Bobrov, Pavel
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Two‐sample problems in statistical data modelling
Mathematical Modelling and Analysis, 2010 A common problem in mathematical statistics is to check whether two samples differ from each other. From modelling point of view it is possible to make a statistical test for the equality of two means or alternatively two distribution functions.
Janis Valeinis +2 more
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On Smoothing and the Bootstrap
The Annals of Statistics, 1989 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hall, Peter +2 more
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Entropy, 2017 The information-theoretical concept transfer entropy is an ideal measure for detecting conditional independence, or Granger causality in a time series setting.
Cees Diks, Hao Fang
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Smoothed Quantile Regression with Large-Scale Inference. [PDF]
Journal of Econometrics, 2020 Quantile regression is a powerful tool for learning the relationship between a response variable and a multivariate predictor while exploring heterogeneous effects.
Xuming He +3 more
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Confidence intervals centred on bootstrap smoothed estimators [PDF]
Australian & New Zealand journal of statistics (Print), 2016 Bootstrap smoothed (bagged) parameter estimators have been proposed as an improvement on estimators found after preliminary data‐based model selection.
Paul Kabaila, C. Wijethunga
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Statistical evaluation of waveform collapse reveals scale-free properties of neuronal avalanches
Frontiers in Computational Neuroscience, 2016 Neural avalanches are a prominent form of brain activity characterized by network-wide bursts whose statistics follow a power-law distribution with a slope near 3/2.
Aleena eShaukat +1 more
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