Journal of Nonparametric Statistics

Papers
(The TQCC of Journal of Nonparametric Statistics is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
New estimation for heteroscedastic single-index measurement error models35
The generalised MLE with truncated interval-censored data12
Nonparametric estimation and inference for spatiotemporal epidemic models11
Penalised estimation of partially linear additive zero-inflated Bernoulli regression models10
Nonparametric Bayes multiresolution testing for high-dimensional rare events9
Asymptotic and finite sample properties of Hill-type estimators in the presence of errors in observations8
Correction8
Soft Bayesian Additive Regression Trees (SBART) for correlated survey response with non-Gaussian error7
Nonparametric estimation of risk ratios for bivariate data6
Measure of shape for object data6
Model fitting using partially ranked data6
Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates6
Test of dominance relations based on kernel smoothing method6
Home-range estimation under a restricted sample scheme6
On the consistency of a random forest algorithm in the presence of missing entries5
A time-span-focussed test for independence of time-varying linear processes5
Some multivariate goodness of fit tests based on data depth5
Regression analysis of multivariate interval-censored failure time data with a cured subgroup and informative censoring5
Functional linear model with partially observed covariate and missing values in the response5
Testing for the geometric distribution in multi-sample settings5
Partial linear quantile regression model with incompletely observed functional covariates4
Nonparametric estimation of expectile regression in functional dependent data4
Multivariate density estimation from privatised data: universal consistency and minimax rates4
Boundary-adaptive kernel density estimation: the case of (near) uniform density4
Sparse kernel sufficient dimension reduction4
PROFIT: projection-based test in longitudinal functional data4
Sequential and simultaneous distance-based dimension reduction4
A simple nonparametric least-squares-based causal inference for heterogeneous treatment effects4
Robust estimation for varying coefficient partially linear model based on MAVE4
A Spearman dependence matrix for multivariate functional data3
Statistical inference for innovation distribution in ARMA and multi-step-ahead prediction via empirical process3
Improvement on LASSO-type estimator in nonparametric regression3
Hilbertian additive regression with parametric help3
Nonparametric estimation of periodic signal disturbed by α-stable noises3
Asymptotics of nonparametric kernel regression estimation for a class of samples3
Nonparametric screening for additive quantile regression in ultra-high dimension3
Oracle inequalities and upper bounds for kernel density estimators on manifolds and more general metric spaces3
Nonparametric estimation of linear multiplier in SDEs driven by general Gaussian processes3
A double exponential gamma-frailty model for clustered survival data3
A maximum entropy copula model for mixed data: representation, estimation and applications3
On the asymptotic properties of some kernel estimators for continuous-time semi-Markov processes3
The scalar-on-function modal regression for functional time series data3
Estimation of the distribution and density functions using Bernstein polynomials under weak dependence3
Nonparametric quantile regression with missing data using local estimating equations2
A U-statistic-based test of treatment effect heterogeneity2
An adaptive test of the independence of high-dimensional data based on Kendall rank correlation coefficient2
Density derivative estimation using asymmetric kernels2
Nonparametric density estimation for scattered spatial data on irregular domains: a likelihood-based approach using bivariate penalised spline smoothing2
Reweighted and circularised Anderson-Darling tests of goodness-of-fit2
Kernel estimation for quadratic functional of long memory linear processes with infinite variance2
Efficient nonparametric estimation of generalised autocovariances2
Enhanced doubly robust estimation with concave link functions for estimands in clinical trials2
Oracle-efficient estimation for the mean function of missing covariate data based on noparametrically estimated selection probabilities2
A new approach to select linear and nonparametric predictors simultaneously for generalised partially linear models2
Nonparametric tests for detection of high dimensional outliers2
A modified Nadaraya–Watson procedure for variable selection and nonparametric prediction with missing data2
Decomposition and reproducing property of local polynomial equivalent kernels in varying coefficient models2
Trajectory clustering with adjustment for time-varying covariate effects2
Jump detection with dependent wild bootstrap2
Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data2
A class of nonparametric tests for the two-sample problem based on order statistics2
A robust estimation based on penalised regularisation for the varying-coefficient additive model2
Model-based statistical depth with applications to functional data2
An adaptive test based on Kendall's tau for independence in high dimensions2
Testing axial symmetry by means of integrated rank scores2
Tests for equality of several mean vector functions for multivariate functional data with applications2
The hazard level set2
Threshold selection for extremal index estimation2
Estimation and inference for partial linear regression surfaces using monotone warped-plane splines2
Persistent homology based goodness-of-fit tests for spatial tessellations2
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