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 2022-05-01 to 2026-05-01.)
ArticleCitations
Exponential ergodicity for damping Hamiltonian dynamics with state-dependent and non-local collisions124
Extrinsic derivative formula for distribution dependent SDEs67
An optimal uniform concentration inequality for discrete entropies on finite alphabets in the high-dimensional setting34
Siblings in d-dimensional nearest neighbour trees33
A new adaptive local polynomial density estimation procedure on complicated domains27
Ergodicity, CLT and asymptotic maximum of the Airy1 process25
Scaling limit for the cover time of the λ-biased random walk on a binary tree with λ<122
SPDEs with non-Lipschitz coefficients and nonhomogeneous boundary conditions21
Non-asymptotic properties of spectral decomposition of large Gram-type matrices and applications21
Rearranged dependence measures21
Homogenization of nonlocal partial differential equations related to stochastic differential equations with Lévy noise21
The asymptotic distribution of the MLE in high-dimensional logistic models: Arbitrary covariance20
Smoothed circulas: Nonparametric estimation of circular cumulative distribution functions and circulas19
Measuring association with Wasserstein distances18
Independence preserving property of Kummer laws18
Density estimation under local differential privacy and Hellinger loss17
Detecting long-range dependence for time-varying linear models17
Functional linear and single-index models: A unified approach via Gaussian Stein identity16
A flexible approach for normal approximation of geometric and topological statistics16
Nonparametric estimation of locally stationary Hawkes processes15
Nonparametric curve estimation in measurement error problems with conditionally heteroscedastic variances15
Sharp phase transitions in high-dimensional changepoint detection14
Covariance change point localisation and inference in fragmented functional data13
On the power of private likelihood-ratio tests for goodness-of-fit in frequency tables13
High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective13
Principles of statistical inference in online problems13
Distribution-free tests of multivariate independence based on center-outward quadrant, Spearman, Kendall, and van der Waerden statistics13
Bootstrap percolation on the stochastic block model12
On consistency and sparsity for high-dimensional functional time series with application to autoregressions12
Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference12
Reversibility of elliptical slice sampling revisited12
An edge CLT for the log determinant of Wigner ensembles12
Non-asymptotic bounds for the ℓ∞ estimator in linear regression with uniform noise12
Learning to reflect: A unifying approach for data-driven stochastic control strategies12
Inadmissibility of the corrected Akaike information criterion12
Decompounding under general mixing distributions11
Data-driven fixed-point tuning for truncated realized variations11
Poisson approximation in χ2 distance by the Stein-Chen approach11
Laplace priors and spatial inhomogeneity in Bayesian inverse problems11
Functional inequalities for perturbed measures with applications to log-concave measures and to some Bayesian problems11
Large deviations for fully local monotone stochastic partial differential equations driven by gradient-dependent noise11
Bayesian model selection consistency for high-dimensional discrete graphical models11
Efficient and consistent model selection procedures for time series10
Additive regression with parametric help10
Goodness-of-fit tests for high-dimensional parametric multiresponse regressions10
Posterior consistency in multi-response regression models with non-informative priors for the error covariance matrix in growing dimensions10
Dating the break in high-dimensional data10
Ole E. Barndorff-Nielsen: Sand, wind and inference10
Explicit bounds for spectral theory of geometrically ergodic Markov kernels and applications10
Almost sure growth of integrated supOU processes10
Rough paths and symmetric-Stratonovich integrals driven by singular covariance Gaussian processes10
Rates of convergence for the number of zeros of random trigonometric polynomials10
Rank-based testing for semiparametric VAR models: A measure transportation approach9
Testing with p*-values: Between p-values, mid p-values, and e-values9
Conditional quantiles: An operator-theoretical approach9
Diffusion processes as Wasserstein gradient flows via stochastic control of the volatility matrix9
Inference for change-plane regression9
Empirical Bayes inference for the block maxima method9
Local minimax rates for closeness testing of discrete distributions9
Estimating the parameters of some common Gaussian random fields with nugget under fixed-domain asymptotics9
Moderate deviation principles for a reaction diffusion model in non-equilibrium8
PDE characterization of geometric distribution functions and quantiles8
Nonparametric inference for reversed mean models with panel count data8
Simulating conditioned diffusions on manifolds8
M-estimation for varying coefficient models with a functional response in a reproducing kernel Hilbert space8
Data fusion methods for the heterogeneity of treatment effect and confounding function8
Linear functional estimation under multiplicative measurement error8
Finitely additive mass transportation8
Multiple testing under negative dependence8
Dimension-agnostic inference using cross U-statistics7
Semiparametric regression of panel count data with informative terminal event7
Flexible-bandwidth needlets7
Sandpiles on the Vicsek fractal explode with probability 147
Deviation inequalities and Cramér-type moderate deviations for the explosive autoregressive process7
Spectral representations of characteristic functions of discrete probability laws7
A new shape of extremal clusters for certain stationary semi-exponential processes with moderate long range dependence7
Extreme singular values of inhomogeneous sparse random rectangular matrices7
Detecting changes in the trend function of heteroscedastic time series7
Malliavin calculus techniques for local asymptotic mixed normality and their application to hypoelliptic diffusions7
A large-sample theory for infinitesimal gradient boosting7
Berry-Esseen bound and Cramér moderate deviation expansion for a supercritical branching random walk7
Accuracy of Gaussian approximation for high-dimensional posterior distributions6
Stochastic integration with respect to local time of the Brownian sheet and regularising properties of Brownian sheet paths6
Minimax optimal goodness-of-fit testing with kernel Stein discrepancy6
Ergodicity of supercritical SDEs driven by α-stable processes and heavy-tailed sampling6
Spine for interacting populations and sampling6
On the singular values of complex matrix Brownian motion with a matrix drift6
Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction6
A bootstrapped test of covariance stationarity based on orthonormal transformations6
Bootstrap inference in functional linear regression models with scalar response6
The extended Ville’s inequality for nonintegrable nonnegative supermartingales6
Monotone measure-transportation maps in Hilbert spaces, with statistical applications6
At the edge of a one-dimensional jellium6
A probabilistic view of latent space graphs and phase transitions6
Asymptotics of discrete Schrödinger bridges via chaos decomposition5
Dynamic principal component analysis from a global perspective5
Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances5
Optimal stopping of the stable process with state-dependent killing5
Heat content for Gaussian processes: Small-time asymptotic analysis5
Sharp detection boundaries on testing dense subhypergraph5
Bernstein-type inequalities for Markov chains and Markov processes: A simple and robust proof5
Adaptive schemes for piecewise deterministic Monte Carlo algorithms5
Local asymptotic normality for ergodic jump-diffusion processes via transition density approximation5
Template matching with ranks5
Moments of exponential functionals of Lévy processes on a deterministic horizon – identities and explicit expressions5
Combinatorial Bernoulli factories5
Non-ergodic statistics and spectral density estimation for stationary real harmonizable symmetric α-stable processes5
Mean stationarity test in time series: A signal variance-based approach5
On Lasso and Slope drift estimators for Lévy-driven Ornstein–Uhlenbeck processes5
PEBBLE: A second order correct bootstrap method in logistic regression5
Learning with tree tensor networks: Complexity estimates and model selection5
On a projection-based class of uniformity tests on the hypersphere5
A fractional stochastic differential equation with discontinuous diffusion driven by fBm with Hurst parameter less than 1∕25
Log-concave density estimation in undirected graphical models5
Nonparametric estimation for additive concurrent regression models5
A nonparametric distribution-free test of independence among continuous random vectors based on L1-norm5
Loop-erased random walk branch of uniform spanning tree in topological polygons5
Compound Poisson disorder problem with uniformly distributed disorder time5
On estimators of the mean of infinite dimensional data in finite populations5
On Lasso estimator for the drift function in diffusion models5
Sparse signal detection in heteroscedastic Gaussian sequence models: Sharp minimax rates5
Simultaneous semiparametric inference for single-index models5
On the joint distribution of the area and the number of peaks for Bernoulli excursions5
Edgeworth expansion by Stein’s method5
Stein’s method of moments on the sphere5
On the convergence of PINNs5
Sequential change diagnosis revisited and the Adaptive Matrix CuSum5
Bootstrap inference for a class of non-regular estimators5
Nonparametric logistic regression with deep learning5
Tracy-Widom limit for the largest eigenvalue of high-dimensional covariance matrices in elliptical distributions5
Bernoulli sums and Rényi entropy inequalities4
Normality of smooth statistics for planar determinantal point processes4
Asymptotics for isotropic Hilbert-valued spherical random fields4
Rudin extension theorems on product spaces, turning bands, and random fields on balls cross time4
Maximal displacement of spectrally negative branching Lévy processes4
From dense to sparse design: Optimal rates under the supremum norm for estimating the mean function in functional data analysis4
Estimation of the ℓ2-norm and testing in sparse linear regression with unknown variance4
Some rapidly mixing hit-and-run samplers for latent counts in linear inverse problems4
Inference in balanced community modulated recursive trees4
On the separation cut-off phenomenon for Brownian motions on high dimensional spheres4
Self-normalized Cramér type moderate deviations for martingales and applications4
Covariance operator estimation: Sparsity, lengthscale, and ensemble Kalman filters4
Gaussian Whittle–Matérn fields on metric graphs4
Asymptotic normality for a modified quadratic variation of the Hermite process4
Martingale Wasserstein inequality for probability measures in the convex order4
A necessary and sufficient condition for the convergence of the derivative martingale in a branching Lévy process4
Equilibrium moderate deviations for occupation times of SSEP on regular trees4
Volatility and jump activity estimation in a stable Cox-Ingersoll-Ross model4
Optimal 1-Wasserstein distance for WGANs4
Quantifying deviations from separability in space-time functional processes4
Addressing both variable selection and misclassified responses with parametric and semiparametric methods4
On the asymptotic behavior of a finite section of the optimal causal filter4
Characteristic kernels on Hilbert spaces, Banach spaces, and on sets of measures4
A frequency domain bootstrap for general multivariate stationary processes4
A diffusion approach to Stein’s method on Riemannian manifolds4
Minimax boundary estimation and estimation with boundary4
Harmonic analysis meets stationarity: A general framework for series expansions of special Gaussian processes4
The fewest-big-jumps principle and an application to random graphs4
Smallest gaps between eigenvalues of real Gaussian matrices4
On the robustness of the minimim ℓ2 interpolator4
Noise covariance estimation in multi-task high-dimensional linear models4
Minimax estimation of low-rank quantum states and their linear functionals4
General construction and classes of explicit L1-optimal couplings4
Erratum: Tree builder random walk: Recurrence, transience and ballisticity4
The functional central limit theorem with mean uncertainty under the sublinear expectation4
Limit theorems for random Motzkin paths near boundary3
Multivariate self-exciting jump processes with applications to financial data3
Functional diffusion driven stochastic volatility model3
Averaging symmetric positive-definite matrices on the space of eigen-decompositions3
First contact percolation3
Signal detection in degree corrected ERGMs3
Estimation of Wasserstein distances in the Spiked Transport Model3
Adaptive deep learning for nonlinear time series models3
Optimal Markovian coupling for finite activity Lévy processes3
Asymptotic analysis of statistical estimators related to MultiGraphex processes under misspecification3
Minimum information dependence modeling3
Detecting approximate replicate components of a high-dimensional random vector with latent structure3
Estimating invertible processes in Hilbert spaces, with applications to functional ARMA processes3
Sequential Gaussian approximation for nonstationary time series in high dimensions3
Empirical Bayes large-scale multiple testing for high-dimensional binary outcome data3
Optimal Bayesian estimation of Gaussian mixtures with growing number of components3
Stability and sample complexity of divergence regularized optimal transport3
Stability of the Poincaré constant3
Subexponential estimates for the first hitting time of a Brownian motion with singular drift3
Some new concentration inequalities for the Itô stochastic integral3
Hypothesis testing for functional linear models via bootstrapping3
Limit theorems for SDEs with irregular drifts3
Smoothing distributions for conditional Fleming–Viot and Dawson–Watanabe diffusions3
A unified construction for series representations and finite approximations of completely random measures3
A trajectorial approach to relative entropy dissipation of McKean–Vlasov diffusions: Gradient flows and HWBI inequalities3
Varying coefficient regression: Revisit and parametric help3
Empirical approximation to invariant measures for McKean–Vlasov processes: Mean-field interaction vs self-interaction3
Local elliptic law3
Gibbsianness and non-Gibbsianness for Bernoulli lattice fields under removal of isolated sites3
Extremal clustering and cluster counting for spatial random fields3
Deep stable neural networks: Large-width asymptotics and convergence rates3
Non-linear wavelet density estimation on the real line3
Limit theorems for Fréchet mean sets3
Tail processes for stable-regenerative multiple-stable model3
Ole Eiler Barndorff-Nielsen3
Uniform error bound for PCA matrix denoising3
Pattern-based tests for two-dimensional copulas3
A note on the phase transition for independent alignment percolation3
Inference for partially observed Riemannian Ornstein–Uhlenbeck diffusions of covariance matrices3
Drift reduction method for SDEs driven by heterogeneous singular Lévy noise3
Exponential ergodicity for non-dissipative McKean-Vlasov SDEs3
Functional limit theorems for random walks perturbed by positive alpha-stable jumps3
High dimensional generalized linear models for temporal dependent data3
On the Bahadur representation of sample quantiles for score functionals3
Cross-validation for change-point regression: Pitfalls and solutions3
Stratified incomplete local simplex tests for curvature of nonparametric multiple regression3
Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator3
Speeding up Monte Carlo integration: Control neighbors for optimal convergence3
Cramér type moderate deviations for the Grenander estimator near the boundaries of the support3
Approximate double-transform inversion when time is one of the variables3
Quadratic variation and quadratic roughness3
Statistical deconvolution of the free Fokker-Planck equation at fixed time3
Nonparametric Bayesian intensity estimation for covariate-driven inhomogeneous point processes3
Hopf type lemmas for subsolutions of integro-differential equations3
Pivotal tests for relevant differences in the second order dynamics of functional time series3
Multidimensional SDE with distributional drift and Lévy noise3
Phase transitions of the maximum likelihood estimators in the p-spin Curie-Weiss model3
Towards standard imsets for maximal ancestral graphs3
Bayesian uncertainty quantification and structure detection for multiple change points models2
Mixing time guarantees for unadjusted Hamiltonian Monte Carlo2
Semi-parametric goodness-of-fit testing for INAR models2
Poisson hulls2
Causal inference on process graphs: Causal structure and effect identification2
O. E. Barndorff-Nielsen’s approximate conditional inference2
When scattering transform meets non-Gaussian random processes, a double scaling limit result2
Convergence rates of Gibbs measures with degenerate minimum2
Identifiability in robust estimation of tree structured models2
Balancing the edge effect and dimension of spectral spatial statistics under irregular sampling with applications to isotropy testing2
Locally polynomial Hilbertian additive regression2
A central limit theorem for a sequence of conditionally centered random fields2
Scaling of piecewise deterministic Monte Carlo for anisotropic targets2
Kernel two-sample tests for manifold data2
Parametrization, prior independence, and the semiparametric Bernstein-von Mises theorem for the partially linear model2
Adaptive inference over Besov spaces in the white noise model using p-exponential priors2
Fourier analysis of spatial point processes2
Parametric inference for ergodic McKean-Vlasov stochastic differential equations2
Multivariate time series models for mixed data2
Compound multivariate Hawkes processes: Large deviations and rare event simulation2
Local exchangeability2
Viscosity estimation for 2D pipe flows I. Construction, consistency, asymptotic normality2
A note on the empty balls of a critical super-Brownian motion2
Two-sample contamination model test2
Extremal shot noise processes and random cutout sets2
On the characterization of Brownian bridge measure on the pinned path space over a compact Riemannian manifold2
Two-timescale stochastic gradient descent in continuous time with applications to joint online parameter estimation and optimal sensor placement2
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