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 2022-01-01 to 2026-01-01.)
ArticleCitations
Robust empirical likelihood variable selection for the high dimensional single-index regression model15
A way of eliminating a nuisance parameter with the plug-in method utilizing an independent sample10
Uniformly consistent proportion estimation for composite hypotheses via integral equations: “the case of Gamma random variables”8
Comparative evaluation of point process forecasts7
Asymptotic normality of multivariate frequency polygons for stationary random fields7
Estimation of complier causal treatment effects with informatively interval-censored failure time data7
Empirical likelihood MLE for joint modeling right censored survival data with longitudinal covariates6
Mode-based estimation of the center of symmetry6
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
Asymptotic theory in network models with covariates and a growing number of node parameters5
Asymptotic expected sensitivity function and its applications to measures of monotone association5
The family of multivariate beta copulas revisited5
Discussion of “Akaike Memorial Lecture 2020: Some of the challenges of statistical applications”5
On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent4
Statistical inference for the dynamic time warping distance, with application to abnormal time-series detection4
Identifiability of latent-variable and structural-equation models: from linear to nonlinear4
Empirical likelihood simultaneous confidence band for conditional variance function3
Inference in models with omitted covariates: Cramér-type moderate deviations and applications to high-dimensional regression3
Non-explicit formula of boundary crossing probabilities by the Girsanov theorem3
Application of some $$L_{2}$$ optimization to a discrete distribution3
Multi-sample hypothesis testing of high-dimensional mean vectors under covariance heterogeneity3
Infill asymptotics for logistic regression estimators for parameters of the intensity function of spatial point processes3
Multivariate frequency polygon for stationary random fields3
Generalized high-dimensional tensor learning with nuclear norm regularization3
Exact two-sided confidence sets for a level set in simple linear regression3
Outcome regression-based estimation of conditional average treatment effect3
Model averaging for estimating treatment effects3
Directed hybrid random networks mixing preferential attachment with uniform attachment mechanisms3
Correction to: Hidden AR process and adaptive Kalman filter3
Nonparametric multiple regression by projection on non-compactly supported bases3
Debiased group lasso for multiple compositional data3
Consistent group selection using global–local shrinkage priors in sparse normal linear regression2
Estimation with multivariate outcomes having nonignorable item nonresponse2
Test for conditional quantile change in general conditional heteroscedastic time series models2
Localization of moving poisson source on the plane2
Score test for unconfoundedness under a logistic treatment assignment model2
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity2
On uniform consistency of nonparametric estimators smoothed by the gamma kernel2
Exact statistical inference for the Wasserstein distance by selective inference2
Slash distributions, generalized convolutions, and extremes2
Rejoinder to the discussion of “Mode-based estimation of the center of symmetry”2
A distance covariance test of independence in high dimension, low sample size contexts2
Correction to: Group least squares regression for linear models with strongly correlated predictor variables2
Robust estimation for nonrandomly distributed data2
Inhomogeneous hidden semi-Markov models for incompletely observed point processes2
Statistical inference for random T-tessellations models. Application to agricultural landscape modeling2
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