Annals of the Institute of Statistical Mathematics

Papers
(The TQCC of Annals of the Institute of Statistical Mathematics 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Uniformly consistent proportion estimation for composite hypotheses via integral equations: “the case of Gamma random variables”13
A way of eliminating a nuisance parameter with the plug-in method utilizing an independent sample9
Comparative evaluation of point process forecasts8
Bayes factor asymptotics for variable selection in the Gaussian process framework8
Estimation of complier causal treatment effects with informatively interval-censored failure time data7
Simultaneous confidence bands for nonparametric regression with missing covariate data7
Data-driven model selection for same-realization predictions in autoregressive processes6
A goodness-of-fit test on the number of biclusters in a relational data matrix6
Empirical likelihood MLE for joint modeling right censored survival data with longitudinal covariates4
Wigner and Wishart ensembles for sparse Vinberg models4
Discussion of “Akaike Memorial Lecture 2020: Some of the challenges of statistical applications”4
Asymptotic expected sensitivity function and its applications to measures of monotone association4
Asymptotic theory in network models with covariates and a growing number of node parameters4
The family of multivariate beta copulas revisited3
Identifiability of latent-variable and structural-equation models: from linear to nonlinear3
Model averaging for estimating treatment effects3
Semiparametric inference on general functionals of two semicontinuous populations3
On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent3
Directed hybrid random networks mixing preferential attachment with uniform attachment mechanisms3
A high-dimensional M-estimator framework for bi-level variable selection3
Multi-sample hypothesis testing of high-dimensional mean vectors under covariance heterogeneity3
Nonparametric multiple regression by projection on non-compactly supported bases3
Non-explicit formula of boundary crossing probabilities by the Girsanov theorem3
Outcome regression-based estimation of conditional average treatment effect3
Local polynomial expectile regression3
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity2
Estimation with multivariate outcomes having nonignorable item nonresponse2
Exact statistical inference for the Wasserstein distance by selective inference2
Robust estimation for nonrandomly distributed data2
Detecting relevant differences in the covariance operators of functional time series: a sup-norm approach2
A distance covariance test of independence in high dimension, low sample size contexts2
Multivariate frequency polygon for stationary random fields2
Correction to: Group least squares regression for linear models with strongly correlated predictor variables2
Inhomogeneous hidden semi-Markov models for incompletely observed point processes2
0.27510499954224