OOIR: Observatory of International Research

Papers

(The TQCC 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 2021-05-01 to 2025-05-01.)

Article	Citations
New estimation for heteroscedastic single-index measurement error models	32
Nonparametric estimation and inference for spatiotemporal epidemic models	8
Asymptotic and finite sample properties of Hill-type estimators in the presence of errors in observations	7
A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015	7
Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates	6
Penalised estimation of partially linear additive zero-inflated Bernoulli regression models	6
The generalised MLE with truncated interval-censored data	6
Nonparametric Bayes multiresolution testing for high-dimensional rare events	6
Test of dominance relations based on kernel smoothing method	5
Nonparametric estimation of risk ratios for bivariate data	5
Model fitting using partially ranked data	5
Regression analysis of multivariate interval-censored failure time data with a cured subgroup and informative censoring	4
Some multivariate goodness of fit tests based on data depth	4
On the consistency of a random forest algorithm in the presence of missing entries	4
Symmetric smoothed bootstrap methods for ranked set samples	4
Home-range estimation under a restricted sample scheme	4
Sparse kernel sufficient dimension reduction	3
PROFIT: projection-based test in longitudinal functional data	3
Multivariate density estimation from privatised data: universal consistency and minimax rates	3
Functional linear model with partially observed covariate and missing values in the response	3
Boundary-adaptive kernel density estimation: the case of (near) uniform density	3
A simple nonparametric least-squares-based causal inference for heterogeneous treatment effects	3
Sequential and simultaneous distance-based dimension reduction	3
Partial linear quantile regression model with incompletely observed functional covariates	3
A Spearman dependence matrix for multivariate functional data	3

Nonparametric tests for detection of high dimensional outliers	2
Hilbertian additive regression with parametric help	2
A double exponential gamma-frailty model for clustered survival data	2
Oracle inequalities and upper bounds for kernel density estimators on manifolds and more general metric spaces	2
A maximum entropy copula model for mixed data: representation, estimation and applications	2
The scalar-on-function modal regression for functional time series data	2
Nonparametric screening for additive quantile regression in ultra-high dimension	2
Estimation of the distribution and density functions using Bernstein polynomials under weak dependence	2
Density derivative estimation using asymmetric kernels	2
A modified Nadaraya–Watson procedure for variable selection and nonparametric prediction with missing data	2
Nonparametric estimation of periodic signal disturbed by α-stable noises	2
Truncation data analysis for the under-reporting probability in COVID-19 pandemic	2
Nonparametric estimation of expectile regression in functional dependent data	2
Nonparametric homogeneity pursuit in functional-coefficient models	2
Improvement on LASSO-type estimator in nonparametric regression	2
Decomposition and reproducing property of local polynomial equivalent kernels in varying coefficient models	2
An adaptive test based on Kendall's tau for independence in high dimensions	2
Transformation tests and their asymptotic power in two-sample comparisons	2
On the asymptotic properties of some kernel estimators for continuous-time semi-Markov processes	2
Statistical inference for innovation distribution in ARMA and multi-step-ahead prediction via empirical process	2
Robust estimation for varying coefficient partially linear model based on MAVE	2
Nonparametric estimation of highest density regions for COVID-19	2
Nonparametric estimation of linear multiplier in SDEs driven by general Gaussian processes	2
The hazard level set	2
Estimating restricted mean treatment effects with additive-multiplicative hazards models	1
Regression analysis of mixed panel count data with dependent observation processes	1
Robust inference for the unification of confidence intervals in meta-analysis	1
Enhanced doubly robust estimation with concave link functions for estimands in clinical trials	1
Threshold selection for extremal index estimation	1
Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data	1
Persistent homology based goodness-of-fit tests for spatial tessellations	1
Trajectory clustering with adjustment for time-varying covariate effects	1
Nonparametric density estimation for scattered spatial data on irregular domains: a likelihood-based approach using bivariate penalised spline smoothing	1
Testing axial symmetry by means of integrated rank scores	1
On the extensions of the Chatterjee-Spearman test	1
Asymptotic properties of neural network sieve estimators	1
IPCW approach for testing independence	1
Data-driven resistant kernel regression	1
Robust covariance estimation with noisy high-frequency financial data	1
Oracle-efficient estimation for the mean function of missing covariate data based on noparametrically estimated selection probabilities	1
Partially linear functional quantile regression in a reproducing kernel Hilbert space	1
Efficient nonparametric estimation of generalised autocovariances	1
Reweighted and circularised Anderson-Darling tests of goodness-of-fit	1
Nonparametric quantile regression with missing data using local estimating equations	1
An adaptive test of the independence of high-dimensional data based on Kendall rank correlation coefficient	1
Tests for equality of several mean vector functions for multivariate functional data with applications	1
Kernel estimation for quadratic functional of long memory linear processes with infinite variance	1
A powerful nonparametric test of the effect of dementia duration on mortality	1
Two-stage local rank estimation for generalised partially linear varying-coefficient models	1
The improved correlation coefficient of Chatterjee	1

Local linear estimators for reflected diffusions	1
Estimation and inference for partial linear regression surfaces using monotone warped-plane splines	1
The stochastic convergence of Bernstein polynomial estimators in a triangular array	1
A robust estimation based on penalised regularisation for the varying-coefficient additive model	1
A U-statistic-based test of treatment effect heterogeneity	1
Model-based statistical depth with applications to functional data	1
Binary disease prediction using tail quantiles of the distribution of continuous biomarkers	1
Cramér-von-Mises tests for the distribution of the excess over a confidence level	1
A class of nonparametric tests for the two-sample problem based on order statistics	1