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 2020-08-01 to 2024-08-01.)
ArticleCitations
Well-posedness of distribution dependent SDEs with singular drifts47
On sampling from a log-concave density using kinetic Langevin diffusions34
Conformal prediction: A unified review of theory and new challenges31
Quadratic shrinkage for large covariance matrices28
Optimal covariance change point localization in high dimensions20
Concentration inequalities for random tensors17
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
On weak conditional convergence of bivariate Archimedean and Extreme Value copulas, and consequences to nonparametric estimation15
On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case14
Compound Poisson approximation for regularly varying fields with application to sequence alignment14
Applications of weak transport theory14
Bayesian linear regression for multivariate responses under group sparsity14
Directional differentiability for supremum-type functionals: Statistical applications14
Some properties of a Cauchy family on the sphere derived from the Möbius transformations13
Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids13
On posterior contraction of parameters and interpretability in Bayesian mixture modeling13
High-dimensional CLT: Improvements, non-uniform extensions and large deviations12
On the weak convergence rate of an exponential Euler scheme for SDEs governed by coefficients with superlinear growth12
Kernel and wavelet density estimators on manifolds and more general metric spaces12
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics12
Fractional stochastic wave equation driven by a Gaussian noise rough in space12
Estimation of Wasserstein distances in the Spiked Transport Model12
Nonparametric regression for locally stationary random fields under stochastic sampling design12
Rates of contraction of posterior distributions based on p-exponential priors11
Sequential estimation of quantiles with applications to A/B testing and best-arm identification11
Lévy processes: Concentration function and heat kernel bounds11
Global sensitivity analysis: A novel generation of mighty estimators based on rank statistics11
Finite sample properties of parametric MMD estimation: Robustness to misspecification and dependence11
Weak existence and uniqueness for affine stochastic Volterra equations with L1-kernels11
Logarithmic Sobolev inequalities for finite spin systems and applications11
Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator10
A family of Beckner inequalities under various curvature-dimension conditions10
Bootstrap based inference for sparse high-dimensional time series models10
Measuring association with Wasserstein distances10
Generalized four moment theorem and an application to CLT for spiked eigenvalues of high-dimensional covariance matrices9
Multidimensional SDE with distributional drift and Lévy noise9
Crandall–Lions viscosity solutions for path-dependent PDEs: The case of heat equation9
Efron–Petrosian integrals for doubly truncated data with covariates: An asymptotic analysis9
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
A refined Cramér-type moderate deviation for sums of local statistics9
Asymptotic properties of penalized splines for functional data9
Sufficient dimension reduction and instrument search for data with nonignorable nonresponse9
Strong and weak convergence rates for slow–fast stochastic differential equations driven by α-stable process9
Discrete statistical models with rational maximum likelihood estimator8
On Sobolev tests of uniformity on the circle with an extension to the sphere8
Limiting behavior of large correlated Wishart matrices with chaotic entries8
A unified performance analysis of likelihood-informed subspace methods8
First-order covariance inequalities via Stein’s method8
Joint inference on extreme expectiles for multivariate heavy-tailed distributions8
Statistical estimation of ergodic Markov chain kernel over discrete state space8
On a projection-based class of uniformity tests on the hypersphere8
Functional weak limit theorem for a local empirical process of non-stationary time series and its application7
Doubly robust semiparametric inference using regularized calibrated estimation with high-dimensional data7
A class of models for Bayesian predictive inference7
A presmoothing approach for estimation in the semiparametric Cox mixture cure model7
Improved bounds for discretization of Langevin diffusions: Near-optimal rates without convexity7
Gibbs posterior concentration rates under sub-exponential type losses7
Optimal sparsity testing in linear regression model7
Hanson–Wright inequality in Hilbert spaces with application to $K$-means clustering for non-Euclidean data7
On eigenvalues of a high-dimensional spatial-sign covariance matrix7
Interpoint distance based two sample tests in high dimension6
A pseudo-marginal sequential Monte Carlo online smoothing algorithm6
Approximation of occupation time functionals6
Deviation inequalities and Cramér-type moderate deviations for the explosive autoregressive process6
Fundamental limits of exact support recovery in high dimensions6
Time-changed spectrally positive Lévy processes started from infinity6
Equivalence of measures and asymptotically optimal linear prediction for Gaussian random fields with fractional-order covariance operators6
A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing6
Over-parametrized deep neural networks minimizing the empirical risk do not generalize well6
SDEs with critical time dependent drifts: Weak solutions6
Estimating the number of connected components in a graph via subgraph sampling6
The Osgood condition for stochastic partial differential equations6
Symmetric inclusion process with slow boundary: Hydrodynamics and hydrostatics6
Busemann functions and semi-infinite O’Connell–Yor polymers6
Local law and Tracy–Widom limit for sparse stochastic block models6
De-biasing the lasso with degrees-of-freedom adjustment6
Locally polynomial Hilbertian additive regression5
Precise deviations for Hawkes processes5
Asymptotic results for heavy-tailed Lévy processes and their exponential functionals5
Multivariate ρ-quantiles: A spatial approach5
Bump detection in the presence of dependency: Does it ease or does it load?5
Central limit theorems for semi-discrete Wasserstein distances5
Distance covariance for discretized stochastic processes5
Equidistribution of random walks on compact groups II. The Wasserstein metric5
High-dimensional general linear hypothesis tests via non-linear spectral shrinkage5
Concentration of the spectral norm of Erdős–Rényi random graphs5
Rank-based testing for semiparametric VAR models: A measure transportation approach5
Signature cumulants, ordered partitions, and independence of stochastic processes5
Central limit theorems for high dimensional dependent data5
Empirical process theory for locally stationary processes5
Berry–Esseen bounds for multivariate nonlinear statistics with applications to M-estimators and stochastic gradient descent algorithms5
Homogenization of nonlocal partial differential equations related to stochastic differential equations with Lévy noise5
Coupling and perturbation techniques for categorical time series5
Donsker-type theorem for BSDEs: Rate of convergence5
Conditional quantiles: An operator-theoretical approach5
Matching strings in encoded sequences5
Yaglom’s limit for critical Galton–Watson processes in varying environment: A probabilistic approach5
Limit theorems for time-dependent averages of nonlinear stochastic heat equations5
Learning with tree tensor networks: Complexity estimates and model selection5
Multivariate time series models for mixed data5
Context-specific independencies in stratified chain regression graphical models4
Comparing a large number of multivariate distributions4
Online drift estimation for jump-diffusion processes4
Markov-modulated generalized Ornstein-Uhlenbeck processes and an application in risk theory4
Approximation of heavy-tailed distributions via stable-driven SDEs4
Scaling limits for super-replication with transient price impact4
On the error bound in the normal approximation for Jack measures4
Sharp detection boundaries on testing dense subhypergraph4
Convergence of persistence diagrams for topological crackle4
Asymptotics for sliding blocks estimators of rare events4
Parking on a random rooted plane tree4
Estimation of Monge matrices4
Multiplier U-processes: Sharp bounds and applications4
Mixing time guarantees for unadjusted Hamiltonian Monte Carlo4
Exact long time behavior of some regime switching stochastic processes4
Minimax optimal goodness-of-fit testing for densities and multinomials under a local differential privacy constraint4
Information geometry approach to parameter estimation in hidden Markov model4
Frequency domain theory for functional time series: Variance decomposition and an invariance principle4
Optimal tests for elliptical symmetry: Specified and unspecified location4
Tracy-Widom limit for the largest eigenvalue of high-dimensional covariance matrices in elliptical distributions4
Geometrical smeariness – a new phenomenon of Fréchet means4
At the edge of a one-dimensional jellium4
A new look at random projections of the cube and general product measures4
Stochastic PDEs on graphs as scaling limits of discrete interacting systems4
Statistics of the two star ERGM4
Noncommutative Lebesgue decomposition and contiguity with applications in quantum statistics4
Adaptive lasso and Dantzig selector for spatial point processes intensity estimation4
Quadratic variation and quadratic roughness4
On consistency and sparsity for high-dimensional functional time series with application to autoregressions4
The asymptotic distribution of the MLE in high-dimensional logistic models: Arbitrary covariance4
Almost-sure asymptotics for Riemannian random waves3
Minimax predictive density for sparse count data3
Flux large deviations of weakly interacting jump processes via well-posedness of an associated Hamilton–Jacobi equation3
High-dimensional index volatility models via Stein’s identity3
Local continuity of log-concave projection, with applications to estimation under model misspecification3
Max-convolution semigroups and extreme values in limit theorems for the free multiplicative convolution3
Large deviations built on max-stability3
On sub-geometric ergodicity of diffusion processes3
From Poincaré inequalities to nonlinear matrix concentration3
Precise large deviations for dependent subexponential variables3
Nested covariance determinants and restricted trek separation in Gaussian graphical models3
On the eigenproblem for Gaussian bridges3
Ergodicity of supercritical SDEs driven by α-stable processes and heavy-tailed sampling3
Pure-jump semimartingales3
Local elliptic law3
Nonstationary fractionally integrated functional time series3
A Riemann–Stein kernel method3
Exponential ergodicity for non-dissipative McKean-Vlasov SDEs3
Adaptive schemes for piecewise deterministic Monte Carlo algorithms3
Convergence rates of Gibbs measures with degenerate minimum3
A $k$-points-based distance for robust geometric inference3
Mean field limits for interacting Hawkes processes in a diffusive regime3
Extremal eigenvalues of sample covariance matrices with general population3
Invariance and attraction properties of Galton–Watson trees3
A general framework for SPDE-based stationary random fields3
Bootstrapping the operator norm in high dimensions: Error estimation for covariance matrices and sketching3
Central limit theorem and self-normalized Cramér-type moderate deviation for Euler-Maruyama scheme3
On fluctuations of global and mesoscopic linear statistics of generalized Wigner matrices3
On the best constant in the martingale version of Fefferman’s inequality3
On estimation of nonsmooth functionals of sparse normal means3
Optimal Bayesian estimation of Gaussian mixtures with growing number of components3
An optimal uniform concentration inequality for discrete entropies on finite alphabets in the high-dimensional setting3
Non-homogeneous Poisson process intensity modeling and estimation using measure transport3
Deviation inequalities for random polytopes in arbitrary convex bodies3
The Hausdorff measure of the range and level sets of Gaussian random fields with sectorial local nondeterminism3
Bounding distributional errors via density ratios3
The linear conditional expectation in Hilbert space3
Bayesian graph selection consistency under model misspecification3
Additive regression with parametric help3
Nearly optimal robust mean estimation via empirical characteristic function3
Inference for semiparametric Gaussian copula model adjusted for linear regression using residual ranks3
Conditional variance estimator for sufficient dimension reduction3
Functional inequalities for perturbed measures with applications to log-concave measures and to some Bayesian problems3
Bootstrap percolation on the stochastic block model3
An adaptive multiple-try Metropolis algorithm3
Random normal matrices in the almost-circular regime3
SPDEs with non-Lipschitz coefficients and nonhomogeneous boundary conditions3
Scalable Monte Carlo inference and rescaled local asymptotic normality3
Asymptotics of AIC, BIC and Cp model selection rules in high-dimensional regression3
Nonparametric inference for reversed mean models with panel count data3
Mixing properties of non-stationary INGARCH(1,1) processes3
High dimensional generalized linear models for temporal dependent data3
Penalisation techniques for one-dimensional reflected rough differential equations3
A convolution formula for the local time of an Itô diffusion reflecting at 0 and a generalized Stroock–Williams equation2
A trajectorial approach to relative entropy dissipation of McKean–Vlasov diffusions: Gradient flows and HWBI inequalities2
Weighted Lépingle inequality2
Splitting the sample at the largest uncensored observation2
A diffusion approach to Stein’s method on Riemannian manifolds2
Mean stationarity test in time series: A signal variance-based approach2
Universal sieve-based strategies for efficient estimation using machine learning tools2
Model-free bootstrap for a general class of stationary time series2
A frequency domain bootstrap for general multivariate stationary processes2
Bounds for the chi-square approximation of Friedman’s statistic by Stein’s method2
Estimation of convex supports from noisy measurements2
On the law of the iterated logarithm and strong invariance principles in stochastic geometry2
Martingale Wasserstein inequality for probability measures in the convex order2
Optimal functional supervised classification with separation condition2
Sign tests for weak principal directions2
Exact detection thresholds and minimax optimality of Chatterjee’s correlation coefficient2
Near-optimal estimation of the unseen under regularly varying tail populations2
Recovering Brownian and jump parts from high-frequency observations of a Lévy process2
Targeted cross-validation2
On the measure of anchored Gaussian simplices, with applications to multivariate medians2
Estimation of the ℓ2-norm and testing in sparse linear regression with unknown variance2
Partial generalized four moment theorem revisited2
Quantifying deviations from separability in space-time functional processes2
Diffusion means in geometric spaces2
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 the parameters of some common Gaussian random fields with nugget under fixed-domain asymptotics2
Adaptation bounds for confidence bands under self-similarity2
Bernoulli sums and Rényi entropy inequalities2
Detecting a planted community in an inhomogeneous random graph2
Estimating a regression function in exponential families by model selection2
Kernel based Dirichlet sequences2
Stationary subspace analysis of nonstationary covariance processes: Eigenstructure description and testing2
Estimating the inter-occurrence time distribution from superposed renewal processes2
Goodness-of-fit testing for copulas: A distribution-free approach2
Rate-optimal nonparametric estimation for random coefficient regression models2
Empirical variance minimization with applications in variance reduction and optimal control2
Rearranged dependence measures2
High dimensional Bernoulli distributions: Algebraic representation and applications2
Multivariate self-exciting jump processes with applications to financial data2
Fisher’s measure of variability in repeated samples2
Testing and inference for fixed times of discontinuity in semimartingales2
Two-step Bayesian methods for generalized regression driven by partial differential equations2
Chung-type law of the iterated logarithm and exact moduli of continuity for a class of anisotropic Gaussian random fields2
A Cramér–Wold device for infinite divisibility of Zd-valued distributions2
Thinned completely random measures with applications in competing risks models2
Parameter estimation for semilinear SPDEs from local measurements2
Graphical modeling of stochastic processes driven by correlated noise2
Local minimax rates for closeness testing of discrete distributions2
Conditional regression for single-index models2
Functional registration and local variations: Identifiability, rank, and tuning2
Pivotal tests for relevant differences in the second order dynamics of functional time series2
Determinantal point processes in the flat limit2
Asymptotically equivalent prediction in multivariate geostatistics2
Sample canonical correlation coefficients of high-dimensional random vectors with finite rank correlations2
Oracle lower bounds for stochastic gradient sampling algorithms2
Bootstrapping Hill estimator and tail array sums for regularly varying time series2
A unified construction for series representations and finite approximations of completely random measures2
Riemannian Langevin algorithm for solving semidefinite programs2
Inference without compatibility: Using exponential weighting for inference on a parameter of a linear model2
Entrywise limit theorems for eigenvectors of signal-plus-noise matrix models with weak signals2
Asymptotics and renewal approximation in the online selection of increasing subsequence2
Finite impulse response models: A non-asymptotic analysis of the least squares estimator2
Rates and coverage for monotone densities using projection-posterior2
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