OOIR: Observatory of International Research

Papers

(The median citation count of Journal of Nonparametric Statistics is 1. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Nonparametric Bayes multiresolution testing for high-dimensional rare events	14
The generalised MLE with truncated interval-censored data	9
Asymptotic and finite sample properties of Hill-type estimators in the presence of errors in observations	8
Correction	7
Boosting-based model averaging of high-dimensional varying coefficient models with application to house price prediction	7
Soft Bayesian Additive Regression Trees (SBART) for correlated survey response with non-Gaussian error	6
Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates	6
An empirical-error-guided bandwidth selector in nonparametric classification with incomplete data	6
Test of dominance relations based on kernel smoothing method	6
Penalised estimation of partially linear additive zero-inflated Bernoulli regression models	6
Editorial	5
A comparison of causal inference methods for evaluating multiple treatment groups	5
Kolmogorov–Smirnov learning by neural networks with a nonconvex surrogate loss	5
Model fitting using partially ranked data	5
A time-span-focussed test for independence of time-varying linear processes	5
Asymptotic normality of wavelet estimators in heteroscedastic time varying-coefficient errors-in-variables model	5
Home-range estimation under a restricted sample scheme	5
Nonparametric estimation of risk ratios for bivariate data	5
Testing for the geometric distribution in multi-sample settings	4
Sequential and simultaneous distance-based dimension reduction	4
Measure of shape for object data	4
Multivariate density estimation from privatised data: universal consistency and minimax rates	4
A Spearman dependence matrix for multivariate functional data	4
A simple nonparametric least-squares-based causal inference for heterogeneous treatment effects	4
Regression analysis of multivariate interval-censored failure time data with a cured subgroup and informative censoring	4

Partial linear quantile regression model with incompletely observed functional covariates	4
Variable selection for Nadaraya–Watson–Fréchet regression	4
Asymptotics of nonparametric kernel regression estimation for a class of samples	4
Robust estimation for varying coefficient partially linear model based on MAVE	4
On the consistency of a random forest algorithm in the presence of missing entries	4
Functional linear model with partially observed covariate and missing values in the response	4
Sparse kernel sufficient dimension reduction	4
PROFIT: projection-based test in longitudinal functional data	4
Boundary-adaptive kernel density estimation: the case of (near) uniform density	4
Statistical inference for innovation distribution in ARMA and multi-step-ahead prediction via empirical process	3
Hilbertian additive regression with parametric help	3
Decomposition and reproducing property of local polynomial equivalent kernels in varying coefficient models	3
The scalar-on-function modal regression for functional time series data	3
Nonparametric screening for additive quantile regression in ultra-high dimension	3
Estimation of the distribution and density functions using Bernstein polynomials under weak dependence	3
Density derivative estimation using asymmetric kernels	3
A maximum entropy copula model for mixed data: representation, estimation and applications	3
A double exponential gamma-frailty model for clustered survival data	3
Nonparametric estimation of linear multiplier in SDEs driven by general Gaussian processes	3
Improvement on LASSO-type estimator in nonparametric regression	3
Reweighted and circularised Anderson-Darling tests of goodness-of-fit	2
A modified Nadaraya–Watson procedure for variable selection and nonparametric prediction with missing data	2
On the connections between Chatterjee's correlation and rank distance correlation	2
The Bahadur representation for nonparametric estimation of expected shortfall and its applications	2
Statistical inference for discrete-time temporal networks with dynamic stochastic block models	2
Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data	2
Oracle-efficient estimation for the mean function of missing covariate data based on noparametrically estimated selection probabilities	2
Jump detection with dependent wild bootstrap	2
Model-based statistical depth with applications to functional data	2
An adaptive test based on Kendall's tau for independence in high dimensions	2
An adaptive test of the independence of high-dimensional data based on Kendall rank correlation coefficient	2
A KL-divergence-based test for elliptical distribution	2
On standardness: estimation of the standardness constant and decidability aspects	2
Enhanced doubly robust estimation with concave link functions for estimands in clinical trials	2
Persistent homology based goodness-of-fit tests for spatial tessellations	2
Trajectory clustering with adjustment for time-varying covariate effects	2
Nonparametric density estimation for scattered spatial data on irregular domains: a likelihood-based approach using bivariate penalised spline smoothing	2
Testing axial symmetry by means of integrated rank scores	2
A new approach to select linear and nonparametric predictors simultaneously for generalised partially linear models	2
Tests for equality of several mean vector functions for multivariate functional data with applications	2
A robust estimation based on penalised regularisation for the varying-coefficient additive model	2
Efficient nonparametric estimation of generalised autocovariances	2
Uniformity tests for circular data based on a Parzen–Rosenblatt type estimator	2
Second order accurate inference for nonparametric estimating equations models	1
Good-bootstrap: simultaneous confidence intervals for large alphabet distributions	1
Cramér-von-Mises tests for the distribution of the excess over a confidence level	1
Asymptotic considerations in a Bayesian linear model with nonparametrically modelled time series innovations	1
On the extensions of the Chatterjee-Spearman test	1
Locally adaptive online functional data analysis	1
Local linear estimators for reflected diffusions	1

A class of nonparametric tests for the two-sample problem based on order statistics	1
A novel framework for joint sparse clustering and alignment of functional data	1
Asymptotic behaviour of the portmanteau tests in an integer-valued AR model	1
Editorial to the special issue ‘Nonparametric Methods in Data Science and Applications’	1
IPCW approach for testing independence	1
Stone's theorem for distributional regression in Wasserstein distance	1
Robust changepoint detection in the variability of multivariate functional data	1
Scaling by subsampling for big data, with applications to statistical learning	1
The improved correlation coefficient of Chatterjee	1
Inference for ARMA time series with mildly varying trend	1
Model-free bootstrap and conformal prediction in regression: conditionality, conjecture testing, and pertinent prediction intervals	1
Bayesian semi-parametric estimation of compound inhomogeneous Poisson processes for ultra-high frequency financial transaction data	1
Robust inference for the unification of confidence intervals in meta-analysis	1
A varying coefficient model with matrix valued covariates	1
A semiparametric space-time quantile regression model	1
Binary disease prediction using tail quantiles of the distribution of continuous biomarkers	1
Nonparametric Bayesian latent class model for longitudinal zero-inflated count data	1
Comparing control and treatment groups using regression and mixture models	1
Nonparametric estimation of splicing points in skewed cost distributions: a kernel-based approach	1
Linear-quadratic Tobit regression model with a change point due to a covariate threshold	1
Estimating restricted mean treatment effects with additive-multiplicative hazards models	1
Avoiding the surrogate paradox: an empirical framework for assessing assumptions	1
From scarcity to insight: extreme events analysis with a partially linear single-index varying-coefficient model in high-dimensional settings	1
Functional data analysis with rough sample paths?	1
A powerful nonparametric test of the effect of dementia duration on mortality	1
Generalized fiducial inference for the GEV change-point model	1
Robust estimation for partially linear additive panel data models with fixed effects based on auxiliary regression	1
Augmented inverse probability weighted estimation for conditional treatment effect	1
Nonparametric density estimation for stationary processes under multiplicative measurement errors	1
Asymptotic properties of neural network sieve estimators	1
Kernel estimation for quadratic functional of long memory linear processes with infinite variance	1
Threshold selection for extremal index estimation	1
The stochastic convergence of Bernstein polynomial estimators in a triangular array	1
Testing for Granger-causality in expectiles with an application to financial contagion	1
Estimation and inference for quantile partially linear varying coefficients models with missing observations	1
Strong law for randomly weighted sums of WOD random variables and application to nonparametric regression models	1
Data-driven resistant kernel regression	1
TSSS: a novel triangulated spherical spline smoothing for surface-based data	1
Regression analysis of mixed panel count data with dependent observation processes	1
Checking normality of model errors under additive distortion measurement errors	1