Bernoulli

Papers
(The median citation count of Bernoulli 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 2020-10-01 to 2024-10-01.)
ArticleCitations
Well-posedness of distribution dependent SDEs with singular drifts49
Conformal prediction: A unified review of theory and new challenges35
Quadratic shrinkage for large covariance matrices30
Optimal covariance change point localization in high dimensions20
On weak conditional convergence of bivariate Archimedean and Extreme Value copulas, and consequences to nonparametric estimation19
Concentration inequalities for random tensors17
On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case16
Scoring interval forecasts: Equal-tailed, shortest, and modal interval16
Is there an analog of Nesterov acceleration for gradient-based MCMC?16
Coverage error optimal confidence intervals for local polynomial regression15
Applications of weak transport theory15
Estimation of Wasserstein distances in the Spiked Transport Model15
Weak existence and uniqueness for affine stochastic Volterra equations with L1-kernels14
Compound Poisson approximation for regularly varying fields with application to sequence alignment14
On posterior contraction of parameters and interpretability in Bayesian mixture modeling14
Fractional stochastic wave equation driven by a Gaussian noise rough in space14
Measuring association with Wasserstein distances13
On the weak convergence rate of an exponential Euler scheme for SDEs governed by coefficients with superlinear growth13
Sequential estimation of quantiles with applications to A/B testing and best-arm identification13
Some properties of a Cauchy family on the sphere derived from the Möbius transformations13
High-dimensional CLT: Improvements, non-uniform extensions and large deviations12
Nonparametric regression for locally stationary random fields under stochastic sampling design12
Global sensitivity analysis: A novel generation of mighty estimators based on rank statistics12
A family of Beckner inequalities under various curvature-dimension conditions11
Finite sample properties of parametric MMD estimation: Robustness to misspecification and dependence11
Lévy processes: Concentration function and heat kernel bounds11
Multidimensional SDE with distributional drift and Lévy noise10
Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator10
Asymptotic properties of penalized splines for functional data10
Generalized four moment theorem and an application to CLT for spiked eigenvalues of high-dimensional covariance matrices10
Strong and weak convergence rates for slow–fast stochastic differential equations driven by α-stable process10
Rates of contraction of posterior distributions based on p-exponential priors10
Bootstrap based inference for sparse high-dimensional time series models10
Crandall–Lions viscosity solutions for path-dependent PDEs: The case of heat equation10
Limiting behavior of large correlated Wishart matrices with chaotic entries9
Efron–Petrosian integrals for doubly truncated data with covariates: An asymptotic analysis9
Sufficient dimension reduction and instrument search for data with nonignorable nonresponse9
Nodal lengths in shrinking domains for random eigenfunctions on $S^{2}$9
A ridge estimator of the drift from discrete repeated observations of the solution of a stochastic differential equation9
Rank-based testing for semiparametric VAR models: A measure transportation approach8
Discrete statistical models with rational maximum likelihood estimator8
On a projection-based class of uniformity tests on the hypersphere8
A presmoothing approach for estimation in the semiparametric Cox mixture cure model8
Joint inference on extreme expectiles for multivariate heavy-tailed distributions8
Statistical estimation of ergodic Markov chain kernel over discrete state space8
On eigenvalues of a high-dimensional spatial-sign covariance matrix8
Improved bounds for discretization of Langevin diffusions: Near-optimal rates without convexity8
A unified performance analysis of likelihood-informed subspace methods8
Gibbs posterior concentration rates under sub-exponential type losses8
Hanson–Wright inequality in Hilbert spaces with application to $K$-means clustering for non-Euclidean data7
Over-parametrized deep neural networks minimizing the empirical risk do not generalize well7
Doubly robust semiparametric inference using regularized calibrated estimation with high-dimensional data7
SDEs with critical time dependent drifts: Weak solutions7
A class of models for Bayesian predictive inference7
Symmetric inclusion process with slow boundary: Hydrodynamics and hydrostatics6
Deviation inequalities and Cramér-type moderate deviations for the explosive autoregressive process6
Conditional quantiles: An operator-theoretical approach6
Interpoint distance based two sample tests in high dimension6
Limit theorems for time-dependent averages of nonlinear stochastic heat equations6
Berry–Esseen bounds for multivariate nonlinear statistics with applications to M-estimators and stochastic gradient descent algorithms6
A pseudo-marginal sequential Monte Carlo online smoothing algorithm6
Optimal sparsity testing in linear regression model6
A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing6
Precise deviations for Hawkes processes6
De-biasing the lasso with degrees-of-freedom adjustment6
The Osgood condition for stochastic partial differential equations6
Sharp detection boundaries on testing dense subhypergraph6
Equivalence of measures and asymptotically optimal linear prediction for Gaussian random fields with fractional-order covariance operators6
Approximation of occupation time functionals6
Mixing time guarantees for unadjusted Hamiltonian Monte Carlo6
Fundamental limits of exact support recovery in high dimensions6
Time-changed spectrally positive Lévy processes started from infinity6
Central limit theorems for semi-discrete Wasserstein distances6
Learning with tree tensor networks: Complexity estimates and model selection6
Multivariate time series models for mixed data6
Yaglom’s limit for critical Galton–Watson processes in varying environment: A probabilistic approach5
Homogenization of nonlocal partial differential equations related to stochastic differential equations with Lévy noise5
Locally polynomial Hilbertian additive regression5
Asymptotic results for heavy-tailed Lévy processes and their exponential functionals5
Exponential ergodicity for non-dissipative McKean-Vlasov SDEs5
Distance covariance for discretized stochastic processes5
Signature cumulants, ordered partitions, and independence of stochastic processes5
The asymptotic distribution of the MLE in high-dimensional logistic models: Arbitrary covariance5
At the edge of a one-dimensional jellium5
Coupling and perturbation techniques for categorical time series5
Adaptive lasso and Dantzig selector for spatial point processes intensity estimation5
Donsker-type theorem for BSDEs: Rate of convergence5
Bump detection in the presence of dependency: Does it ease or does it load?5
Empirical process theory for locally stationary processes5
Equidistribution of random walks on compact groups II. The Wasserstein metric5
Optimal Bayesian estimation of Gaussian mixtures with growing number of components5
Approximation of heavy-tailed distributions via stable-driven SDEs5
High-dimensional general linear hypothesis tests via non-linear spectral shrinkage5
Multivariate ρ-quantiles: A spatial approach5
Multiplier U-processes: Sharp bounds and applications5
Central limit theorems for high dimensional dependent data5
Estimation of Monge matrices4
Markov-modulated generalized Ornstein-Uhlenbeck processes and an application in risk theory4
Large deviations built on max-stability4
On the error bound in the normal approximation for Jack measures4
Information geometry approach to parameter estimation in hidden Markov model4
On consistency and sparsity for high-dimensional functional time series with application to autoregressions4
Tracy-Widom limit for the largest eigenvalue of high-dimensional covariance matrices in elliptical distributions4
Ergodicity of supercritical SDEs driven by α-stable processes and heavy-tailed sampling4
Parking on a random rooted plane tree4
Geometrical smeariness – a new phenomenon of Fréchet means4
Dimension-agnostic inference using cross U-statistics4
Online drift estimation for jump-diffusion processes4
Exact long time behavior of some regime switching stochastic processes4
On sub-geometric ergodicity of diffusion processes4
Random normal matrices in the almost-circular regime4
Optimal tests for elliptical symmetry: Specified and unspecified location4
Context-specific independencies in stratified chain regression graphical models4
On Azadkia–Chatterjee’s conditional dependence coefficient4
Comparing a large number of multivariate distributions4
Stochastic PDEs on graphs as scaling limits of discrete interacting systems4
A new look at random projections of the cube and general product measures4
Statistics of the two star ERGM4
Minimax optimal goodness-of-fit testing for densities and multinomials under a local differential privacy constraint4
Quadratic variation and quadratic roughness4
Asymptotics for sliding blocks estimators of rare events4
Invariance and attraction properties of Galton–Watson trees4
Conditional variance estimator for sufficient dimension reduction4
Bootstrapping the operator norm in high dimensions: Error estimation for covariance matrices and sketching3
From Poincaré inequalities to nonlinear matrix concentration3
Precise large deviations for dependent subexponential variables3
Bayesian graph selection consistency under model misspecification3
On fluctuations of global and mesoscopic linear statistics of generalized Wigner matrices3
Mean field limits for interacting Hawkes processes in a diffusive regime3
SPDEs with non-Lipschitz coefficients and nonhomogeneous boundary conditions3
Max-convolution semigroups and extreme values in limit theorems for the free multiplicative convolution3
An optimal uniform concentration inequality for discrete entropies on finite alphabets in the high-dimensional setting3
Local elliptic law3
The linear conditional expectation in Hilbert space3
The Hausdorff measure of the range and level sets of Gaussian random fields with sectorial local nondeterminism3
A $k$-points-based distance for robust geometric inference3
Almost-sure asymptotics for Riemannian random waves3
Extremal eigenvalues of sample covariance matrices with general population3
Local continuity of log-concave projection, with applications to estimation under model misspecification3
Estimation of the ℓ2-norm and testing in sparse linear regression with unknown variance3
Bootstrap percolation on the stochastic block model3
Graphical modeling of stochastic processes driven by correlated noise3
An adaptive multiple-try Metropolis algorithm3
Minimax predictive density for sparse count data3
Rearranged dependence measures3
Nearly optimal robust mean estimation via empirical characteristic function3
Asymptotics of AIC, BIC and Cp model selection rules in high-dimensional regression3
Convergence rates of Gibbs measures with degenerate minimum3
Mixing properties of non-stationary INGARCH(1,1) processes3
Bayesian estimation of nonlinear Hawkes processes3
Nonparametric inference for reversed mean models with panel count data3
Penalisation techniques for one-dimensional reflected rough differential equations3
High dimensional generalized linear models for temporal dependent data3
Deviation inequalities for random polytopes in arbitrary convex bodies3
Additive regression with parametric help3
Riemannian Langevin algorithm for solving semidefinite programs3
A general framework for SPDE-based stationary random fields3
Quantifying deviations from separability in space-time functional processes3
Central limit theorem and self-normalized Cramér-type moderate deviation for Euler-Maruyama scheme3
Nested covariance determinants and restricted trek separation in Gaussian graphical models3
High-dimensional index volatility models via Stein’s identity3
Exact detection thresholds and minimax optimality of Chatterjee’s correlation coefficient3
Bounding distributional errors via density ratios3
Pure-jump semimartingales3
Scalable Monte Carlo inference and rescaled local asymptotic normality3
Nonstationary fractionally integrated functional time series3
Non-homogeneous Poisson process intensity modeling and estimation using measure transport3
Flux large deviations of weakly interacting jump processes via well-posedness of an associated Hamilton–Jacobi equation3
A Riemann–Stein kernel method3
Inference for semiparametric Gaussian copula model adjusted for linear regression using residual ranks3
Adaptive schemes for piecewise deterministic Monte Carlo algorithms3
Bernoulli sums and Rényi entropy inequalities3
Functional inequalities for perturbed measures with applications to log-concave measures and to some Bayesian problems3
Estimating the parameters of some common Gaussian random fields with nugget under fixed-domain asymptotics2
Conditional regression for single-index models2
Partial generalized four moment theorem revisited2
Universal sieve-based strategies for efficient estimation using machine learning tools2
Pivotal tests for relevant differences in the second order dynamics of functional time series2
Parameter estimation for semilinear SPDEs from local measurements2
Detecting a planted community in an inhomogeneous random graph2
Stationary subspace analysis of nonstationary covariance processes: Eigenstructure description and testing2
Estimation of functional ARMA models2
On the law of the iterated logarithm and strong invariance principles in stochastic geometry2
Upper functions for sample paths of Lévy(-type) processes2
Local minimax rates for closeness testing of discrete distributions2
Recovering Brownian and jump parts from high-frequency observations of a Lévy process2
Kolmogorov bounds for decomposable random variables and subgraph counting by the Stein–Tikhomirov method2
Sample canonical correlation coefficients of high-dimensional random vectors with finite rank correlations2
On the measure of anchored Gaussian simplices, with applications to multivariate medians2
Exact convergence analysis of the independent Metropolis-Hastings algorithms2
Central limit theorem of linear spectral statistics of high-dimensional sample correlation matrices2
Contact process under heavy-tailed renewals on finite graphs2
Entrywise limit theorems for eigenvectors of signal-plus-noise matrix models with weak signals2
Power variations in fractional Sobolev spaces for a class of parabolic stochastic PDEs2
Finite impulse response models: A non-asymptotic analysis of the least squares estimator2
Thinned completely random measures with applications in competing risks models2
Nonhomogeneous Euclidean first-passage percolation and distance learning2
On the separation cut-off phenomenon for Brownian motions on high dimensional spheres2
Minimum spanning trees of random geometric graphs with location dependent weights2
Estimating a regression function in exponential families by model selection2
Mean stationarity test in time series: A signal variance-based approach2
Limit theorems for integral functionals of Hermite-driven processes2
Estimation of convex supports from noisy measurements2
Kernel based Dirichlet sequences2
Statistical inference for function-on-function linear regression2
Asymptotically equivalent prediction in multivariate geostatistics2
Concentration of measure bounds for matrix-variate data with missing values2
Goodness-of-fit testing for copulas: A distribution-free approach2
Inference without compatibility: Using exponential weighting for inference on a parameter of a linear model2
Characterization of the second order random fields subject to linear distributional PDE constraints2
A diffusion approach to Stein’s method on Riemannian manifolds2
Multivariate self-exciting jump processes with applications to financial data2
On multi-step estimation of delay for SDE2
Martingale Wasserstein inequality for probability measures in the convex order2
Testing and inference for fixed times of discontinuity in semimartingales2
Spiked eigenvalues of noncentral Fisher matrix with applications2
High dimensional Bernoulli distributions: Algebraic representation and applications2
Paving property for real stable polynomials and strongly Rayleigh processes2
Targeted cross-validation2
A trajectorial approach to relative entropy dissipation of McKean–Vlasov diffusions: Gradient flows and HWBI inequalities2
Two-step Bayesian methods for generalized regression driven by partial differential equations2
Smoothing distributions for conditional Fleming–Viot and Dawson–Watanabe diffusions2
A Cramér–Wold device for infinite divisibility of Zd-valued distributions2
Dating the break in high-dimensional data2
Model-free bootstrap for a general class of stationary time series2
Functional registration and local variations: Identifiability, rank, and tuning2
Adaptation bounds for confidence bands under self-similarity2
A frequency domain bootstrap for general multivariate stationary processes2
Bounds for the chi-square approximation of Friedman’s statistic by Stein’s method2
A unified construction for series representations and finite approximations of completely random measures2
Sign tests for weak principal directions2
Cramér-type moderate deviation of normal approximation for unbounded exchangeable pairs2
Rate-optimal nonparametric estimation for random coefficient regression models2
Sequential Gaussian approximation for nonstationary time series in high dimensions2
Bootstrapping Hill estimator and tail array sums for regularly varying time series2
Estimating the inter-occurrence time distribution from superposed renewal processes2
Two-timescale stochastic gradient descent in continuous time with applications to joint online parameter estimation and optimal sensor placement2
Determinantal point processes in the flat limit2
Asymptotics and renewal approximation in the online selection of increasing subsequence2
A probabilistic view of latent space graphs and phase transitions2
Empirical variance minimization with applications in variance reduction and optimal control2
Rates and coverage for monotone densities using projection-posterior2
Small sample spaces for Gaussian processes2
Near-optimal estimation of the unseen under regularly varying tail populations2
Spectral representations of characteristic functions of discrete probability laws2
Fisher’s measure of variability in repeated samples2
Diffusion means in geometric spaces2
A convolution formula for the local time of an Itô diffusion reflecting at 0 and a generalized Stroock–Williams equation2
Chung-type law of the iterated logarithm and exact moduli of continuity for a class of anisotropic Gaussian random fields2
Splitting the sample at the largest uncensored observation2
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