Journal of Nonparametric Statistics

Article	Citations
Nonparametric estimation of expectile regression in functional dependent data	27
On the uniform-in-bandwidth consistency of the general conditionalU-statistics based on the copula representation	21
Uniform almost sure convergence and asymptotic distribution of the wavelet-based estimators of partial derivatives of multivariate density function under weak dependence	11
Testing symmetry based on the extropy of record values	8
Oracle inequalities and upper bounds for kernel density estimators on manifolds and more general metric spaces	7
Kernel density estimation for circular data: a Fourier series-based plug-in approach for bandwidth selection	7
Model checks for two-sample location-scale	6
Recursive asymmetric kernel density estimation for nonnegative data	6
Nonparametric estimation and inference for spatiotemporal epidemic models	5
Composite empirical likelihood for multisample clustered data	5
Nonparametric estimation of the conditional survival function with double smoothing	4
On sufficient dimension reduction via principal asymmetric least squares	4
Regression analysis of multivariate interval-censored failure time data with a cured subgroup and informative censoring	4
A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015	4
Generalized ordinal patterns in discrete-valued time series: nonparametric testing for serial dependence	4
Nonparametric tests for detection of high dimensional outliers	4
Nonparametric homogeneity pursuit in functional-coefficient models	3
Modified martingale difference correlations	3
Semi-parametric estimation of incubation and generation times by means of Laguerre polynomials	3
Partially linear functional quantile regression in a reproducing kernel Hilbert space	3
Asymptotic properties of neural network sieve estimators	3
Asymptotic properties of the normalised discrete associated-kernel estimator for probability mass function	3
A median test for functional data	3
Model-based bootstrap for detection of regional quantile treatment effects	3
Statistical inference for ARMA time series with moving average trend	3

Nonparametric estimation of risk ratios for bivariate data	3
The law of the iterated logarithm and maximal smoothing principle for the kernel distribution function estimator	2
Jackknife empirical likelihood for the lower-mean ratio	2
Truncation data analysis for the under-reporting probability in COVID-19 pandemic	2
Consistency of a nonparametric least squares estimator in integer-valued GARCH models	2
Empirical likelihood for the analysis of experimental designs	2
Penalised empirical likelihood for semiparametric varying-coefficient partially linear errors-in-variables models	2
Nonparametric estimation of highest density regions for COVID-19	2
Goodness-of-fit test for count distributions with finite second moment	2
Constrained quantile regression and heteroskedasticity	2
Robust estimation of sparse precision matrix using adaptive weighted graphical lasso approach	2
Functional linear model with partially observed covariate and missing values in the response	2
The stochastic convergence of Bernstein polynomial estimators in a triangular array	2
Nonparametric estimation of functional dynamic factor model	2
A nonparametric procedure for linear and nonlinear variable screening	2
A U-statistic-based test of treatment effect heterogeneity	2
A novel framework for online supervised learning with feature selection	2
Some multivariate goodness of fit tests based on data depth	2
Hilbertian additive regression with parametric help	2
Estimation of shape constrained additive models with missing response at random	1
Variance function estimation in regression model via aggregation procedures	1
Nonparametric relative error estimation of the regression function for left truncated and right censored time series data	1
Estimation of linear transformation cure models with informatively interval-censored failure time data	1
Nonparametric estimation of linear multiplier in SDEs driven by general Gaussian processes	1
Efficient estimation in heteroscedastic single-index models	1
On a projection estimator of the regression function derivative	1
The scalar-on-function modal regression for functional time series data	1
Good-bootstrap: simultaneous confidence intervals for large alphabet distributions	1
Estimation and inference for partial linear regression surfaces using monotone warped-plane splines	1
PROFIT: projection-based test in longitudinal functional data	1
Graphical representations and associated goodness-of-fit tests for Pareto and log-normal distributions based on inequality curves	1
A novel framework for joint sparse clustering and alignment of functional data	1
Wasserstein filter for variable screening in binary classification in the reproducing kernel Hilbert space	1
IPCW approach for testing independence	1
The test of exponentiality based on the mean residual life function revisited	1
Varying coefficient single-index regression model with missing responses under rank-based modelling	1
New estimation for heteroscedastic single-index measurement error models	1
Regularised rank quasi-likelihood estimation for generalised additive models	1
Asymptotic behaviour of the portmanteau tests in an integer-valued AR model	1
The uniform CLT for the empirical estimator of countable state space semi-Markov kernels indexed by functions with applications	1
Checking normality of model errors under additive distortion measurement errors	1
A revisit to Bai–Saranadasa's two-sample test	1
Estimation and inference in functional varying-coefficient single-index quantile regression models	1
Robust estimation for partial linear single-index models	1
Jackknife empirical likelihood for the correlation coefficient with multiplicative distortion measurement errors	1
Regression analysis of mixed panel count data with dependent observation processes	1
Uniform convergence rates and automatic variable selection in nonparametric regression with functional and categorical covariates	1
Threshold selection for extremal index estimation	1
Regression estimation for continuous-time functional data processes with missing at random response	1
Maximum multinomial likelihood estimation in compound mixture model with application to malaria study	1

Nonparametric inference about increasing odds rate distributions	1
On the asymptotic properties of some kernel estimators for continuous-time semi-Markov processes	1
Another look at halfspace depth: flag halfspaces with applications	1
Extended Glivenko–Cantelli theorem and L1 strong consistency of innovation density estimator for time-varying semiparametric ARCH model	1
Empirical likelihood based confidence regions for functional of copulas	1
A maximum entropy copula model for mixed data: representation, estimation and applications	1
Nonparametric regression with nonignorable missing covariates and outcomes using bounded inverse weighting	1
An adaptive test based on Kendall's tau for independence in high dimensions	1
Asymptotic normality of kernel density estimation for mixing high-frequency data	0
Weighted empirical likelihood inferences for a class of varying coefficient ARCH-M models	0
Approximate tolerance intervals for nonparametric regression models	0
A nonparametric discontinuity test of density using a beta kernel	0
Robust oracle estimation and uncertainty quantification for possibly sparse quantiles	0
Nonparametric estimation of isotropic covariance function	0
Recursive kernel estimator in a semiparametric regression model	0
On the consistency of a random forest algorithm in the presence of missing entries	0
Functional data analysis with rough sample paths?	0
Joint parametric specification checking of conditional mean and volatility in time series models with martingale difference innovations	0
Nonparametric instrument model averaging	0
A scalable quasi-Newton estimation algorithm for dynamic generalised linear models	0
Oracle-efficient estimation for the mean function of missing covariate data based on noparametrically estimated selection probabilities	0
A phase-II change-point-based distribution-free scheme for monitoring of three process aspects	0
Tests for equality of several mean vector functions for multivariate functional data with applications	0
Symmetric smoothed bootstrap methods for ranked set samples	0
Minimum profile Hellinger distance estimation for single-index models	0
The generalised MLE with truncated interval-censored data	0
A Spearman dependence matrix for multivariate functional data	0
Density derivative estimation using asymmetric kernels	0
Model-free prediction of time series: a nonparametric approach	0
Reweighted and circularised Anderson-Darling tests of goodness-of-fit	0
Subgroup detection in the heterogeneous partially linear additive Cox model	0
Tracking full posterior in online Bayesian classification learning: a particle filter approach	0
Introduction to the special issue on Data Science for COVID-19	0
A general semi-parametric elliptical distribution model for semi-supervised learning	0
Home-range estimation under a restricted sample scheme	0
Approximate Bayesian computation with semiparametric density ratio model	0
A double exponential gamma-frailty model for clustered survival data	0
The A-optimal subsampling approach to the analysis of count data of massive size	0
Linear-quadratic Tobit regression model with a change point due to a covariate threshold	0
The hazard level set	0
Weighted rank estimation of nonparametric transformation models with case-1 and case-2 interval-censored failure time data	0
Two-stage local rank estimation for generalised partially linear varying-coefficient models	0
Statistical inference for innovation distribution in ARMA and multi-step-ahead prediction via empirical process	0
A high-dimensional test for the k-sample Behrens–Fisher problem	0
Estimating POT second-order parameter for bias correction	0
Improved estimation of hazard function when failure information is missing not at random	0
Errors-in-variables regression for mixed Euclidean and non-Euclidean predictors	0
Wavelet estimation for the nonparametric additive model in random design and long-memory dependent errors	0
A law of the iterated logarithm for error density estimator in censored linear regression	0
Complete f -moment convergence for m -asymptotic negatively associated random variables and related statistical applications	0
Efficient nonparametric estimation of generalised autocovariances	0
A modified Nadaraya–Watson procedure for variable selection and nonparametric prediction with missing data	0
Nonparametric estimation of periodic signal disturbed by α-stable noises	0
Asymptotic and finite sample properties of Hill-type estimators in the presence of errors in observations	0
Generalized fiducial inference for the GEV change-point model	0
Adaptive and efficient isotonic estimation in Wicksell's problem	0
Testing for the expected number of exceedances in strongly dependent seasonal time series	0
Nonparametric needlet estimation for partial derivatives of a probability density function on thed-torus	0
Minimax estimation in multi-task regression under low-rank structures	0
Robust sufficient dimension reduction via α -distance covariance	0
Data-driven resistant kernel regression	0
Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data	0
A nonparametric Bayesian item response modelling approach for clustering items and individuals simultaneously	0
Sparse kernel sufficient dimension reduction	0
Nonparametric inference for interval data using kernel methods	0
Maximum approximate Bernstein likelihood estimation in a two-sample semiparametric model	0
A bootstrap functional central limit theorem for time-varying linear processes	0
A varying coefficient model with matrix valued covariates	0
Integrated log-rank test	0
Penalised estimation of partially linear additive zero-inflated Bernoulli regression models	0
Boundary-adaptive kernel density estimation: the case of (near) uniform density	0
Detecting the complexity of a functional time series	0
Improvement on LASSO-type estimator in nonparametric regression	0
Multivariate density estimation from privatised data: universal consistency and minimax rates	0
On estimation of covariance function for functional data with detection limits	0
Group inference of high-dimensional single-index models	0
Cramér-von-Mises tests for the distribution of the excess over a confidence level	0
Equivalence between constrained optimal smoothing and Bayesian estimation	0
Clustering of high-dimensional observations	0
A class of nonparametric tests for the two-sample problem based on order statistics	0

Kernel density estimation for a stochastic process with values in a Riemannian manifold	0
Persistent homology based goodness-of-fit tests for spatial tessellations	0
Nonparametric quantile regression with missing data using local estimating equations	0
Test of dominance relations based on kernel smoothing method	0
A robust estimation based on penalised regularisation for the varying-coefficient additive model	0
Consistency of the simple mode of a density for spatial processes	0
Spectral-norm risk rates for multi-taper estimation of Gaussian processes	0
Decomposition and reproducing property of local polynomial equivalent kernels in varying coefficient models	0
Choosing shape parameters for regression in reproducing kernel Hilbert space and variable selection	0
A powerful nonparametric test of the effect of dementia duration on mortality	0
Binary disease prediction using tail quantiles of the distribution of continuous biomarkers	0
Kernel regression for cause-specific hazard models with nonparametric covariate functions	0
Scaling by subsampling for big data, with applications to statistical learning	0
Permutation mask: a combined gradient sparsification for federated learning	0
Nonparametric screening for additive quantile regression in ultra-high dimension	0
Robust covariance estimation with noisy high-frequency financial data	0
Inference for ARMA time series with mildly varying trend	0
Estimating restricted mean treatment effects with additive-multiplicative hazards models	0
Bayesian semi-parametric estimation of compound inhomogeneous Poisson processes for ultra-high frequency financial transaction data	0
Estimation of the distribution and density functions using Bernstein polynomials under weak dependence	0
Augmented inverse probability weighted estimation for conditional treatment effect	0
Testing axial symmetry by means of integrated rank scores	0
Regularisation and central limit theorems for an inverse problem in network sampling applications	0
Conditional symmetry test based on empirical characteristic function	0
Trajectory clustering with adjustment for time-varying covariate effects	0
Transformation tests and their asymptotic power in two-sample comparisons	0
Bias reduction by transformed flat-top Fourier series estimator of density on compact support	0
Fighting selection bias in statistical learning: application to visual recognition from biased image databases	0
Generalised local polynomial estimators of smooth functionals of a distribution function with nonnegative support	0
Nonparametric Bayes multiresolution testing for high-dimensional rare events	0
Editorial	0
An optimal sequential design in ethical allocation with an adaptive interim analysis	0
A simple nonparametric least-squares-based causal inference for heterogeneous treatment effects	0
Functional index coefficient models for locally stationary time series	0
The improved correlation coefficient of Chatterjee	0
Permutation-based inference for function-on-scalar regression with an application in PET brain imaging	0
Nonparametric regression with responses missing at random and the scale depending on auxiliary covariates	0
A combined strategy for multivariate density estimation	0
Testing bivariate symmetry	0
Model fitting using partially ranked data	0
Stone's theorem for distributional regression in Wasserstein distance	0
Combining dependent tests based on data depth with applications to the two-sample problem for data of arbitrary types	0
A process of dependent quantile pyramids	0
Enhanced doubly robust estimation with concave link functions for estimands in clinical trials	0
Model-based statistical depth with applications to functional data	0
Generalised regression estimators for average treatment effect with multicollinearity in high-dimensional covariates	0