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 2022-01-01 to 2026-01-01.)
ArticleCitations
Exponential ergodicity for damping Hamiltonian dynamics with state-dependent and non-local collisions99
Non-asymptotic properties of spectral decomposition of large Gram-type matrices and applications58
An optimal uniform concentration inequality for discrete entropies on finite alphabets in the high-dimensional setting28
Siblings in d-dimensional nearest neighbour trees26
Extrinsic derivative formula for distribution dependent SDEs25
A new adaptive local polynomial density estimation procedure on complicated domains23
Ergodicity, CLT and asymptotic maximum of the Airy1 process22
SPDEs with non-Lipschitz coefficients and nonhomogeneous boundary conditions20
Rearranged dependence measures19
Homogenization of nonlocal partial differential equations related to stochastic differential equations with Lévy noise18
Mixing properties of non-stationary INGARCH(1,1) processes16
The asymptotic distribution of the MLE in high-dimensional logistic models: Arbitrary covariance16
On consistency and sparsity for high-dimensional functional time series with application to autoregressions16
On eigenvalues of a high-dimensional spatial-sign covariance matrix16
Smoothed circulas: Nonparametric estimation of circular cumulative distribution functions and circulas16
Independence preserving property of Kummer laws15
A flexible approach for normal approximation of geometric and topological statistics15
Distribution-free tests of multivariate independence based on center-outward quadrant, Spearman, Kendall, and van der Waerden statistics15
Density estimation under local differential privacy and Hellinger loss15
High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective14
Functional linear and single-index models: A unified approach via Gaussian Stein identity14
Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference13
Nonparametric estimation of locally stationary Hawkes processes13
Measuring association with Wasserstein distances13
Detecting long-range dependence for time-varying linear models13
Learning to reflect: A unifying approach for data-driven stochastic control strategies12
An edge CLT for the log determinant of Wigner ensembles12
Non-asymptotic bounds for the ℓ∞ estimator in linear regression with uniform noise12
Poisson approximation in χ2 distance by the Stein-Chen approach12
Reversibility of elliptical slice sampling revisited11
Inadmissibility of the corrected Akaike information criterion11
Efficient and consistent model selection procedures for time series10
Rough paths and symmetric-Stratonovich integrals driven by singular covariance Gaussian processes10
Local minimax rates for closeness testing of discrete distributions10
Functional inequalities for perturbed measures with applications to log-concave measures and to some Bayesian problems10
Laplace priors and spatial inhomogeneity in Bayesian inverse problems10
Dating the break in high-dimensional data10
Bootstrap percolation on the stochastic block model10
Almost sure growth of integrated supOU processes10
Additive regression with parametric help10
Adaptive estimation in the linear random coefficients model when regressors have limited variation9
PDE characterization of geometric distribution functions and quantiles9
Goodness-of-fit tests for high-dimensional parametric multiresponse regressions9
Estimating the parameters of some common Gaussian random fields with nugget under fixed-domain asymptotics9
Rank-based testing for semiparametric VAR models: A measure transportation approach9
Posterior consistency in multi-response regression models with non-informative priors for the error covariance matrix in growing dimensions9
Explicit bounds for spectral theory of geometrically ergodic Markov kernels and applications9
Conditional quantiles: An operator-theoretical approach9
Empirical Bayes inference for the block maxima method9
Inference for change-plane regression9
Rates of convergence for the number of zeros of random trigonometric polynomials9
Finitely additive mass transportation8
Testing with p*-values: Between p-values, mid p-values, and e-values8
Flexible-bandwidth needlets8
Semiparametric regression of panel count data with informative terminal event8
Adaptiveness of the empirical distribution of residuals in semi-parametric conditional location scale models8
Linear functional estimation under multiplicative measurement error8
Detecting changes in the trend function of heteroscedastic time series8
M-estimation for varying coefficient models with a functional response in a reproducing kernel Hilbert space8
Nonparametric inference for reversed mean models with panel count data8
Multiple testing under negative dependence8
Deviation inequalities and Cramér-type moderate deviations for the explosive autoregressive process8
Berry-Esseen bound and Cramér moderate deviation expansion for a supercritical branching random walk7
A new shape of extremal clusters for certain stationary semi-exponential processes with moderate long range dependence7
Sandpiles on the Vicsek fractal explode with probability 147
A large-sample theory for infinitesimal gradient boosting7
Spectral representations of characteristic functions of discrete probability laws7
Multiplier U-processes: Sharp bounds and applications7
Malliavin calculus techniques for local asymptotic mixed normality and their application to hypoelliptic diffusions7
Extreme singular values of inhomogeneous sparse random rectangular matrices7
Dimension-agnostic inference using cross U-statistics7
Data fusion methods for the heterogeneity of treatment effect and confounding function7
Spine for interacting populations and sampling7
On the singular values of complex matrix Brownian motion with a matrix drift7
A probabilistic view of latent space graphs and phase transitions6
Stochastic integration with respect to local time of the Brownian sheet and regularising properties of Brownian sheet paths6
Accuracy of Gaussian approximation for high-dimensional posterior distributions6
Ergodicity of supercritical SDEs driven by α-stable processes and heavy-tailed sampling6
Bootstrap inference for a class of non-regular estimators6
A nonparametric distribution-free test of independence among continuous random vectors based on L1-norm6
At the edge of a one-dimensional jellium6
Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction6
On the convergence of PINNs6
Template matching with ranks6
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
Moments of exponential functionals of Lévy processes on a deterministic horizon – identities and explicit expressions6
Local asymptotic normality for ergodic jump-diffusion processes via transition density approximation6
On Lasso estimator for the drift function in diffusion models5
Dynamic principal component analysis from a global perspective5
On estimators of the mean of infinite dimensional data in finite populations5
Tracy-Widom limit for the largest eigenvalue of high-dimensional covariance matrices in elliptical distributions5
Heat content for Gaussian processes: Small-time asymptotic analysis5
Compound Poisson disorder problem with uniformly distributed disorder time5
Optimal stopping of the stable process with state-dependent killing5
Learning with tree tensor networks: Complexity estimates and model selection5
Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances5
Empirical process theory for locally stationary processes5
On Lasso and Slope drift estimators for Lévy-driven Ornstein–Uhlenbeck processes5
PEBBLE: A second order correct bootstrap method in logistic regression5
On a projection-based class of uniformity tests on the hypersphere5
Log-concave density estimation in undirected graphical models5
Nonparametric estimation for additive concurrent regression models5
Loop-erased random walk branch of uniform spanning tree in topological polygons5
Asymptotics of discrete Schrödinger bridges via chaos decomposition5
Mean stationarity test in time series: A signal variance-based approach5
Sharp detection boundaries on testing dense subhypergraph5
Combinatorial Bernoulli factories5
On the joint distribution of the area and the number of peaks for Bernoulli excursions5
Adaptive schemes for piecewise deterministic Monte Carlo algorithms5
Edgeworth expansion by Stein’s method5
Sequential change diagnosis revisited and the Adaptive Matrix CuSum5
Simultaneous semiparametric inference for single-index models5
Sparse signal detection in heteroscedastic Gaussian sequence models: Sharp minimax rates5
Minimax boundary estimation and estimation with boundary4
Characteristic kernels on Hilbert spaces, Banach spaces, and on sets of measures4
Covariance operator estimation: Sparsity, lengthscale, and ensemble Kalman filters4
Rudin extension theorems on product spaces, turning bands, and random fields on balls cross time4
Estimation of the ℓ2-norm and testing in sparse linear regression with unknown variance4
The fewest-big-jumps principle and an application to random graphs4
Martingale Wasserstein inequality for probability measures in the convex order4
On the robustness of the minimim ℓ2 interpolator4
Minimax optimal goodness-of-fit testing for densities and multinomials under a local differential privacy constraint4
Harmonic analysis meets stationarity: A general framework for series expansions of special Gaussian processes4
On the asymptotic behavior of a finite section of the optimal causal filter4
Some rapidly mixing hit-and-run samplers for latent counts in linear inverse problems4
Erratum for Prediction and estimation consistency of sparse multi-class penalized optimal scoring4
A necessary and sufficient condition for the convergence of the derivative martingale in a branching Lévy process4
Gaussian Whittle–Matérn fields on metric graphs4
Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator4
Normality of smooth statistics for planar determinantal point processes4
General construction and classes of explicit L1-optimal couplings4
Asymptotic normality for a modified quadratic variation of the Hermite process4
Empirical approximation to invariant measures for McKean–Vlasov processes: Mean-field interaction vs self-interaction4
Asymptotics for isotropic Hilbert-valued spherical random fields4
Non-ergodic statistics and spectral density estimation for stationary real harmonizable symmetric α-stable processes4
Quantifying deviations from separability in space-time functional processes4
Optimal 1-Wasserstein distance for WGANs4
The functional central limit theorem with mean uncertainty under the sublinear expectation4
Bernoulli sums and Rényi entropy inequalities4
Estimation of Wasserstein distances in the Spiked Transport Model4
A trajectorial approach to relative entropy dissipation of McKean–Vlasov diffusions: Gradient flows and HWBI inequalities4
A frequency domain bootstrap for general multivariate stationary processes4
Erratum: Tree builder random walk: Recurrence, transience and ballisticity4
On the separation cut-off phenomenon for Brownian motions on high dimensional spheres4
Minimax estimation of low-rank quantum states and their linear functionals4
From dense to sparse design: Optimal rates under the supremum norm for estimating the mean function in functional data analysis4
Maximal displacement of spectrally negative branching Lévy processes4
Noise covariance estimation in multi-task high-dimensional linear models4
Inference in balanced community modulated recursive trees4
Self-normalized Cramér type moderate deviations for martingales and applications4
A diffusion approach to Stein’s method on Riemannian manifolds4
Averaging symmetric positive-definite matrices on the space of eigen-decompositions3
Drift reduction method for SDEs driven by heterogeneous singular Lévy noise3
Towards standard imsets for maximal ancestral graphs3
Limit theorems for random Motzkin paths near boundary3
Detecting approximate replicate components of a high-dimensional random vector with latent structure3
Sequential Gaussian approximation for nonstationary time series in high dimensions3
Multidimensional SDE with distributional drift and Lévy noise3
Hopf type lemmas for subsolutions of integro-differential equations3
Inference for partially observed Riemannian Ornstein–Uhlenbeck diffusions of covariance matrices3
Asymptotic analysis of statistical estimators related to MultiGraphex processes under misspecification3
Minimum information dependence modeling3
Functional diffusion driven stochastic volatility model3
Pattern-based tests for two-dimensional copulas3
Uniform error bound for PCA matrix denoising3
Deep stable neural networks: Large-width asymptotics and convergence rates3
Stratified incomplete local simplex tests for curvature of nonparametric multiple regression3
Stability of the Poincaré constant3
High dimensional generalized linear models for temporal dependent data3
A note on the phase transition for independent alignment percolation3
Hypothesis testing for functional linear models via bootstrapping3
A unified construction for series representations and finite approximations of completely random measures3
Limit theorems for SDEs with irregular drifts3
Mean field limits for interacting Hawkes processes in a diffusive regime3
Subexponential estimates for the first hitting time of a Brownian motion with singular drift3
Optimal Bayesian estimation of Gaussian mixtures with growing number of components3
Tail processes for stable-regenerative multiple-stable model3
Gibbsianness and non-Gibbsianness for Bernoulli lattice fields under removal of isolated sites3
Exponential ergodicity for non-dissipative McKean-Vlasov SDEs3
Stability and sample complexity of divergence regularized optimal transport3
Smoothing distributions for conditional Fleming–Viot and Dawson–Watanabe diffusions3
Phase transitions of the maximum likelihood estimators in the p-spin Curie-Weiss model3
Signal detection in degree corrected ERGMs3
Limit theorems for Fréchet mean sets3
Thinned completely random measures with applications in competing risks models3
Cramér type moderate deviations for the Grenander estimator near the boundaries of the support3
Multivariate self-exciting jump processes with applications to financial data3
Targeted cross-validation3
Functional limit theorems for random walks perturbed by positive alpha-stable jumps3
On the Bahadur representation of sample quantiles for score functionals3
Optimal Markovian coupling for finite activity Lévy processes3
Statistical deconvolution of the free Fokker-Planck equation at fixed time3
Speeding up Monte Carlo integration: Control neighbors for optimal convergence3
Approximate double-transform inversion when time is one of the variables3
Quadratic variation and quadratic roughness3
Extremal clustering and cluster counting for spatial random fields3
Pivotal tests for relevant differences in the second order dynamics of functional time series3
Cross-validation for change-point regression: Pitfalls and solutions3
Information geometry approach to parameter estimation in hidden Markov model3
Local elliptic law3
Some new concentration inequalities for the Itô stochastic integral3
Varying coefficient regression: Revisit and parametric help3
New approach to greedy vector quantization3
Adaptive deep learning for nonlinear time series models3
Two-timescale stochastic gradient descent in continuous time with applications to joint online parameter estimation and optimal sensor placement2
Local exchangeability2
Identifiability in robust estimation of tree structured models2
Exact detection thresholds and minimax optimality of Chatterjee’s correlation coefficient2
Asymptotics of AIC, BIC and Cp model selection rules in high-dimensional regression2
A recursive distributional equation for the stable tree2
Parameter estimation with increased precision for elliptic and hypo-elliptic diffusions2
Limit theorems for time-dependent averages of nonlinear stochastic heat equations2
Hölder regularity and roughness: Construction and examples2
Extremal shot noise processes and random cutout sets2
Locally polynomial Hilbertian additive regression2
Bayesian uncertainty quantification and structure detection for multiple change points models2
Strong and weak convergence rates for slow–fast stochastic differential equations driven by α-stable process2
Convergence rates of Gibbs measures with degenerate minimum2
Semi-parametric goodness-of-fit testing for INAR models2
A central limit theorem for a sequence of conditionally centered random fields2
On the measure of anchored Gaussian simplices, with applications to multivariate medians2
Multivariate time series models for mixed data2
Adaptive inference over Besov spaces in the white noise model using p-exponential priors2
Matrix means and a novel high-dimensional shrinkage phenomenon2
Conditional regression for single-index models2
Element-wise estimation error of generalized Fused Lasso2
Defective Galton-Watson processes in a varying environment2
Convergence rates of two-component MCMC samplers2
Poisson hulls2
Kernel two-sample tests for manifold data2
Doubly robust semiparametric inference using regularized calibrated estimation with high-dimensional data2
A Ray–Knight representation of up-down Chinese restaurants2
Crandall–Lions viscosity solutions for path-dependent PDEs: The case of heat equation2
Parametric inference for ergodic McKean-Vlasov stochastic differential equations2
Degrees of freedom for off-the-grid sparse estimation2
An efficient averaged stochastic Gauss-Newton algorithm for estimating parameters of nonlinear regressions models2
Nonstationary fractionally integrated functional time series2
Estimation of functional ARMA models2
The Hausdorff measure of the range and level sets of Gaussian random fields with sectorial local nondeterminism2
Strong and weak convergence for the averaging principle of DDSDE with singular drift2
Convergence rates for shallow neural networks learned by gradient descent2
Comparison principle for stochastic heat equations driven by α-stable white noises2
When scattering transform meets non-Gaussian random processes, a double scaling limit result2
Scaling of piecewise deterministic Monte Carlo for anisotropic targets2
Two-sample contamination model test2
Representation of random variables as Lebesgue integrals2
Mixing time guarantees for unadjusted Hamiltonian Monte Carlo2
An asymptotic Peskun ordering and its application to lifted samplers2
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