Asymptotic properties of nonparametric inference

Results 111 to 120 of about 3,072 (181)

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

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

, 2012
This thesis proposes some new model independent or nonparametric methods for estimating the dose-response curve and the effective dosage curve in the context of bioassay.
Lin, Lizhen
core

Training-set conditionally valid prediction sets with right-censored data. [PDF]

Lifetime Data Anal
Si W, Qiu H.
europepmc +1 more source

SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model. [PDF]

J Am Stat Assoc
Lee SH +4 more
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Models beyond the Dirichlet process [PDF]

Bayesian nonparametric inference is a relatively young area of research and it has recently undergone a strong development. Most of its success can be explained by the considerable degree of flexibility it ensures in statistical modelling, if compared to
Antonio Lijoi, Igor Prünster
core

Confidence interval construction for multivariable truncated spline logistic model (MTSLM). [PDF]

MethodsX
Suriaslan AS, Budiantara IN, Ratnasari V, Aydin D. +3 more
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Inference for Deep Neural Network Estimators in Generalized Nonparametric Models. [PDF]

J Am Stat Assoc
Meng X, Li Y.
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Edgeworth Expansions for Spectral Density Estimates and Studentized Sample Mean - (Now published in Economic Theory, 17 (2001), pp.497-539. [PDF]

We establish valid Edgeworth expansions for the distribution of smoothed nonparametric spectral estimates, and of studentized versions of linear statistics such as the same mean, where the studentization employs such a nonparametric spectral estimate ...
Carlos Velasco, Peter M Robinson
core

SEMIPARAMETRIC ANALYSIS OF INTERVAL-CENSORED DATA SUBJECT TO INACCURATE DIAGNOSES WITH A TERMINAL EVENT. [PDF]

Ann Appl Stat
Deng Y, Zeng D, Wang Y.
europepmc +1 more source

Deep learning for the change-point Cox model with current status data. [PDF]

Lifetime Data Anal
Huang Q, Feng A, Wu Q, Tong X.
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