Results 81 to 90 of about 269 (169)

On the subsample bootstrap variance estimation

Jackknife, bootstrap, variance estimation, infinite order U-statistics, 62G05, 60F99,
Dragan Radulović
core   +1 more source

Asymptotic normality of the Nadaraya–Watson semivariogram estimators

Asymptotic normality, Intrinsic stationarity, Isotropy, Kernel, Random process, Variogram, 62G05, 62G10,
Pilar García-Soidán
core   +1 more source

Estimation in Varying-coefficient Proportional Hazard Regression Model

Proportional hazard regression, Weighted partial likelihood, Strong consistency, Asymptotic normality, Primary 62G05, Secondary 62E20,
Qihua Wang, Lili Yao
core   +1 more source

Neyman meets causal machine learning: Experimental evaluation of individualized treatment rules

Journal of Causal Inference
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s ...
Li Michael Lingzhi, Imai Kosuke
doaj   +1 more source

Strong consistency of Kernel density estimates for Markov chains failure rates

Failure rates for Markov chain, Kernel density estimators, 62G05, 90B25, 62M99,
G. Atuncar, C. Dorea, C. Gonçalves
core   +1 more source

Nonparametric inference based on panel count data

, 2010
Bayesian estimation, Generalized least-squares, Mean function, Markov model, Nonparametric comparison, Nonparametric maximum likelihood, Nonparametric maximum pseudo-likelihood, Panel count data, Rate function, 62G05, 62G20, 62N02, 62N03,
N. Balakrishnan, Xingqiu Zhao, Balakrishnan, N, Zhao, X, Jianguo Sun, Sun, J   +5 more
core   +1 more source

Strong laws for weighted sums of widely orthant dependent random variables and applications

Open Mathematics
In this study, the strong law of large numbers and the convergence rate for weighted sums of non-identically distributed widely orthant dependent random variables are established.
Zhu Yong, Wang Wei, Chen Kan
doaj   +1 more source

The cost of not knowing the radius

, 2008
Symmetric location and contamination, Infinitesimal asymmetric neighborhoods, Total variation, contamination, Asymptotically linear estimators, Influence curves, Maximum asymptotic variance and mean square error, Relative risk, Inefficiency, Least ...
Peter Ruckdeschel, Ruckdeschel, Peter, Rieder, Helmut, Matthias Kohl, Kohl, Matthias, Helmut Rieder   +5 more
core   +1 more source

Optimal bandwidth estimators of kernel density functionals for contaminated data. [PDF]

J Appl Stat, 2021
Gündüz N, Aydın C.
europepmc   +1 more source

Lower and upper bounds for the eigenvalues of a pentadiagonal matrix arising in the Hodrick-Prescott filter

Special Matrices
This study establishes lower and upper bounds for the eigenvalues of a symmetric pentadiagonal matrix arising in the Hodrick-Prescott (HP) filter, a widely used method for trend extraction in macroeconometrics.
Yamada Hiroshi
doaj   +1 more source