Annals of the Institute of Statistical Mathematics

Papers
(The median citation count of Annals of the Institute of Statistical Mathematics is 0. 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
Bayes factor asymptotics for variable selection in the Gaussian process framework8
Comparative evaluation of point process forecasts8
Simultaneous confidence bands for nonparametric regression with missing covariate data7
Estimation of complier causal treatment effects with informatively interval-censored failure time data7
A goodness-of-fit test on the number of biclusters in a relational data matrix6
Data-driven model selection for same-realization predictions in autoregressive processes6
Asymptotic theory in network models with covariates and a growing number of node parameters4
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
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
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
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
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
Nonparametric tests for multistate processes with clustered data1
Inference of random effects for linear mixed-effects models with a fixed number of clusters1
Characterizing the optimal solutions to the isotonic regression problem for identifiable functionals1
Test for conditional quantile change in general conditional heteroscedastic time series models1
Statistical inference for random T-tessellations models. Application to agricultural landscape modeling1
Robust variable selection with exponential squared loss for partially linear spatial autoregressive models1
Two-stage data segmentation permitting multiscale change points, heavy tails and dependence1
Automatic data-based bin width selection for rose diagram1
Approximating symmetrized estimators of scatter via balanced incomplete U-statistics1
Discussion of “Identifiability of latent-variable and structural-equation models: from linear to nonlinear”1
Hidden AR process and adaptive Kalman filter1
Robust density power divergence estimates for panel data models1
Parametric estimation of spatial–temporal point processes using the Stoyan–Grabarnik statistic1
Comparison and equality of generalized $$\psi $$-estimators1
Slash distributions, generalized convolutions, and extremes1
Comparing regression curves: an L1-point of view1
Multi-round smoothed composite quantile regression for distributed data1
Robust distributed estimation and variable selection for massive datasets via rank regression1
Confidence bounds for the true discovery proportion based on the exact distribution of the number of rejections1
Surrogate-variable-based model-free feature screening for survival data under the general censoring mechanism1
A sequential feature selection procedure for high-dimensional Cox proportional hazards model1
Goodness-of-fit tests for the Weibull distribution based on the Laplace transform and Stein’s method1
Simultaneous inference for Berkson errors-in-variables regression under fixed design1
Semiparametric transformation models for survival data with dependent censoring1
Score test for unconfoundedness under a logistic treatment assignment model1
On uniform consistency of nonparametric estimators smoothed by the gamma kernel1
Selective inference after feature selection via multiscale bootstrap1
Forward variable selection for ultra-high dimensional quantile regression models1
Tests for the existence of group effects and interactions for two-way models with dependent errors1
Rejoinder of “Identifiability of latent-variable and structural-equation models: from linear to nonlinear"1
Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions1
On comparing competing risks using the ratio of their cumulative incidence functions0
Robust estimation of the conditional stable tail dependence function0
A novel two-sample test within the space of symmetric positive definite matrix distributions and its application in finance0
On a projection least squares estimator for jump diffusion processes0
Statistical inference using regularized M-estimation in the reproducing kernel Hilbert space for handling missing data0
Least absolute deviation estimation for AR(1) processes with roots close to unity0
Adaptive efficient estimation for generalized semi-Markov big data models0
Model free feature screening for large scale and ultrahigh dimensional survival data0
Penalized estimation for non-identifiable models0
Inference for nonstationary time series of counts with application to change-point problems0
Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes0
Gradual change-point analysis based on Spearman matrices for multivariate time series0
Matrix completion under complex survey sampling0
Simplified quasi-likelihood analysis for a locally asymptotically quadratic random field0
Estimation of value-at-risk by $$L^{p}$$ quantile regression0
Discussion of Akaike Memorial Lecture 2020: Some of the challenges of statistical applications0
A blockwise network autoregressive model with application for fraud detection0
Joint behavior of point processes of clusters and partial sums for stationary bivariate Gaussian triangular arrays0
Semiparametric modelling of two-component mixtures with stochastic dominance0
Tuning parameter selection for the adaptive nuclear norm regularized trace regression0
Empirical tail conditional allocation and its consistency under minimal assumptions0
Conditional selective inference for robust regression and outlier detection using piecewise-linear homotopy continuation0
Large-sample properties of multiple imputation estimators for parameters of logistic regression with covariates missing at random separately or simultaneously0
A copula spectral test for pairwise time reversibility0
Offline minimax Q-function learning for undiscounted indefinite-horizon MDPs0
Regularized nonlinear regression with dependent errors and its application to a biomechanical model0
Information projection approach to smoothed propensity score weighting for handling selection bias under missing at random0
Group least squares regression for linear models with strongly correlated predictor variables0
On estimation of nonparametric regression models with autoregressive and moving average errors0
Bahadur efficiency of the maximum likelihood estimator and one-step estimator for quasi-arithmetic means of the Cauchy distribution0
Regression analysis for exponential family data in a finite population setup using two-stage cluster sample0
Random mixture Cox point processes0
Testing against ordered alternatives in one-way ANOVA model with exponential errors0
On UMPS hypothesis testing0
Gene–environment interaction analysis under the Cox model0
Data segmentation for time series based on a general moving sum approach0
On the choice of the optimal single order statistic in quantile estimation0
Generation of all randomizations using circuits0
Discussion of “Identifiability of latent-variable and structural-equation models: from linear to nonlinear”0
Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models0
Whittle estimation for continuous-time stationary state space models with finite second moments0
Flexible asymmetric multivariate distributions based on two-piece univariate distributions0
Akaike Memorial Lecture 2020: Some of the challenges of statistical applications0
Inference using an exact distribution of test statistic for random-effects meta-analysis0
Quasi-maximum likelihood estimation and penalized estimation under non-standard conditions0
A tuning-free efficient test for marginal linear effects in high-dimensional quantile regression0
Mixture of shifted binomial distributions for rating data0
Characterizations of the normal distribution via the independence of the sample mean and the feasible definite statistics with ordered arguments0
Multivariate Hawkes processes with spatial covariates for spatiotemporal event data analysis0
On the rate of convergence of image classifiers based on convolutional neural networks0
The variable selection by the Dantzig selector for Cox’s proportional hazards model0
Testing overidentifying restrictions on high-dimensional instruments and covariates0
Quantitative robustness of instance ranking problems0
Nonparametric inference for additive models estimated via simplified smooth backfitting0
Model averaging for semiparametric varying coefficient quantile regression models0
A delineation of new classes of exponential dispersion models supported on the set of nonnegative integers0
Fixed accuracy estimation of parameters in a threshold autoregressive model0
Robust and efficient parameter estimation for discretely observed stochastic processes0
Asymptotic equivalence for nonparametric regression with dependent errors: Gauss–Markov processes0
Robust model selection with covariables missing at random0
Minimizing robust density power-based divergences for general parametric density models0
Assessing the coverage probabilities of fixed-margin confidence intervals for the tail conditional allocation0
Using the growth curve model in classification of repeated measurements0
Bootstrap method for misspecified ergodic Lévy driven stochastic differential equation models0
Author’s rejoinder to the discussion of the Akaike Memorial Lecture 20200
Gaussian quasi-information criteria for ergodic Lévy driven SDE0
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