OOIR: Observatory of International Research

Papers

(The median citation count of Annals of the Institute of Statistical Mathematics 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 2020-04-01 to 2024-04-01.)

Article	Citations
Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error	18
Two-stage data segmentation permitting multiscale change points, heavy tails and dependence	11
Estimation for high-frequency data under parametric market microstructure noise	9
Bahadur efficiency of the maximum likelihood estimator and one-step estimator for quasi-arithmetic means of the Cauchy distribution	8
Model averaging for linear models with responses missing at random	7
Hypothesis tests for high-dimensional covariance structures	6
Empirical tail conditional allocation and its consistency under minimal assumptions	6
On localization of source by hidden Gaussian processes with small noise	5
Instrument search in pseudo-likelihood approach for nonignorable nonresponse	5
Wasserstein statistics in one-dimensional location scale models	5
Global jump filters and quasi-likelihood analysis for volatility	4
Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data	4
Mellin–Meijer kernel density estimation on $${{\mathbb {R}}}^+$$	4
Local polynomial expectile regression	4
Broken adaptive ridge regression for right-censored survival data	4
Fast estimation of multivariate spatiotemporal Hawkes processes and network reconstruction	4
Characterizing the optimal solutions to the isotonic regression problem for identifiable functionals	4
Slash distributions, generalized convolutions, and extremes	3
Wigner and Wishart ensembles for sparse Vinberg models	3
Efficient likelihood-based inference for the generalized Pareto distribution	3
Improved empirical likelihood inference and variable selection for generalized linear models with longitudinal nonignorable dropouts	3
Multi-round smoothed composite quantile regression for distributed data	3
Detecting relevant differences in the covariance operators of functional time series: a sup-norm approach	3
Semiparametric inference on general functionals of two semicontinuous populations	3
Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process	3

Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes	3
Gaussian graphical models with toric vanishing ideals	3
Smooth distribution function estimation for lifetime distributions using Szasz–Mirakyan operators	2
Identifiability of latent-variable and structural-equation models: from linear to nonlinear	2
A copula spectral test for pairwise time reversibility	2
Simultaneous confidence bands for nonparametric regression with missing covariate data	2
On the power of some sequential multiple testing procedures	2
Multiresolution analysis of point processes and statistical thresholding for Haar wavelet-based intensity estimation	2
Nonparametric tests for multistate processes with clustered data	2
Inference of random effects for linear mixed-effects models with a fixed number of clusters	2
On the usage of randomized p-values in the Schweder–Spjøtvoll estimator	2
Asymptotic theory of dependent Bayesian multiple testing procedures under possible model misspecification	2
Empirical likelihood meta-analysis with publication bias correction under Copas-like selection model	2
Inhomogeneous hidden semi-Markov models for incompletely observed point processes	2
Conditional selective inference for robust regression and outlier detection using piecewise-linear homotopy continuation	2
Variable selection for functional linear models with strong heredity constraint	2
Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions	1
Nonparametric regression with warped wavelets and strong mixing processes	1
Comparative evaluation of point process forecasts	1
Outcome regression-based estimation of conditional average treatment effect	1
A high-dimensional M-estimator framework for bi-level variable selection	1
Model averaging for estimating treatment effects	1
Tests for the existence of group effects and interactions for two-way models with dependent errors	1
Nonparametric estimation of the kernel function of symmetric stable moving average random functions	1
Quantitative robustness of instance ranking problems	1
A permutation test for the two-sample right-censored model	1
Mixture of shifted binomial distributions for rating data	1
A goodness-of-fit test on the number of biclusters in a relational data matrix	1
Parametric estimation of spatial–temporal point processes using the Stoyan–Grabarnik statistic	1
Robust test for structural instability in dynamic factor models	1
A blockwise network autoregressive model with application for fraud detection	1
Semiparametric modelling of two-component mixtures with stochastic dominance	1
Nonparametric multiple regression by projection on non-compactly supported bases	1
Robust distributed estimation and variable selection for massive datasets via rank regression	1
Adaptive efficient estimation for generalized semi-Markov big data models	1
Identifying shifts between two regression curves	1
Matrix completion under complex survey sampling	1
Fixed accuracy estimation of parameters in a threshold autoregressive model	1
Forward variable selection for ultra-high dimensional quantile regression models	1
A three-step local smoothing approach for estimating the mean and covariance functions of spatio-temporal Data	1
Whittle estimation for continuous-time stationary state space models with finite second moments	1
Poles of pair correlation functions: When they are real?	1
Directed hybrid random networks mixing preferential attachment with uniform attachment mechanisms	1
The variable selection by the Dantzig selector for Cox’s proportional hazards model	1
Characterizations of the normal distribution via the independence of the sample mean and the feasible definite statistics with ordered arguments	1
On the rate of convergence of image classifiers based on convolutional neural networks	1
Model averaging for semiparametric varying coefficient quantile regression models	1