Derives matching lower and upper bounds on minimal detectable intra-block drift amplitude δ_min(n,α,β)=Θ(n^{-1/2}) for finite-key E91-type QKD using minimax hypothesis testing and CUSUM statistic.
The Annals of Statistics , author=
12 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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Defines betweenness centrality in stochastic networks via absorbing Markov chain absorption times, estimated by Monte Carlo on random and real graphs.
Proposes and analyzes a homogeneity test using squared L2 distance of empirical EOT maps to uniform-on-ball reference, with FCLT, Gaussian quadratic null limit, consistency, local power, and weighted multiplier bootstrap.
A PN in a 90 Myr M31 cluster is associated via position and velocity, implying a 5.66 solar mass progenitor with nitrogen enhancement.
Derives exact marginal likelihood under finite-support Huber contamination via Dirichlet-Beta priors and dynamic programming over count allocations.
Using random matrix theory, the authors prove spectral separability of mean-shift spikes and asymptotic invariance of the original eigenspace, then introduce a knockoff-mean two-stage PCA procedure to remove the contamination.
Proposes adaptive multiple importance sampling for robust Bayesian model evidence estimation under parameter non-identifiability, shown to outperform deterministic methods on ecological case studies while being cheaper than MCMC.
A functional central limit theorem for pattern frequencies in 2D samples enables nonparametric goodness-of-fit, two-sample, and symmetry tests for copulas, with bootstrap critical values and parametric examples.
crossfit is an R package that supplies a general-purpose cross-fitting engine driven by user-specified DAGs of nuisance models with configurable fold allocations and reproducibility features.
Boson correlations for states with well-behaved Glauber-Sudarshan P-representations are spurious statistical correlations due to Simpson's paradox from symmetry-breaking in ensemble averages over varying geometries.
Proves reverse Poincaré inequality on global attractor of 2D reaction-diffusion system to obtain near-parametric statistical recovery of initial conditions from discrete observations.
Compares six meta-learners (Cox/RSF risk models paired with elastic net/RF CATE models) via simulations differing in hazard complexity and censoring, and releases the R package crsurvlearners.
citing papers explorer
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Detectability Limits for Intra-Block Temporal Drift in Finite-Key Entanglement-Based QKD
Derives matching lower and upper bounds on minimal detectable intra-block drift amplitude δ_min(n,α,β)=Θ(n^{-1/2}) for finite-key E91-type QKD using minimax hypothesis testing and CUSUM statistic.
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Betweenness Central Nodes Under Uncertainty: An Absorbing Markov Chain Approach
Defines betweenness centrality in stochastic networks via absorbing Markov chain absorption times, estimated by Monte Carlo on random and real graphs.
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Two-Sample Homogeneity Test via Entropic Optimal Transport
Proposes and analyzes a homogeneity test using squared L2 distance of empirical EOT maps to uniform-on-ball reference, with FCLT, Gaussian quadratic null limit, consistency, local power, and weighted multiplier bootstrap.
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A Planetary Nebula from a 5.7 $M_{\odot}$ Progenitor in a 90 Myr M31 Star Cluster
A PN in a 90 Myr M31 cluster is associated via position and velocity, implying a 5.66 solar mass progenitor with nitrogen enhancement.
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Marginal likelihoods for finite-support Huber contamination
Derives exact marginal likelihood under finite-support Huber contamination via Dirichlet-Beta priors and dynamic programming over count allocations.
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Mean-Shift PCA by Knockoff Mean
Using random matrix theory, the authors prove spectral separability of mean-shift spikes and asymptotic invariance of the original eigenspace, then introduce a knockoff-mean two-stage PCA procedure to remove the contamination.
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Reliable model selection in the presence of parameter non-identifiability
Proposes adaptive multiple importance sampling for robust Bayesian model evidence estimation under parameter non-identifiability, shown to outperform deterministic methods on ecological case studies while being cheaper than MCMC.
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Pattern-based tests for two-dimensional copulas
A functional central limit theorem for pattern frequencies in 2D samples enables nonparametric goodness-of-fit, two-sample, and symmetry tests for copulas, with bootstrap critical values and parametric examples.
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crossfit: A Graph-Based Cross-Fitting Engine in R
crossfit is an R package that supplies a general-purpose cross-fitting engine driven by user-specified DAGs of nuisance models with configurable fold allocations and reproducibility features.
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Boson correlations are spurious for classical states
Boson correlations for states with well-behaved Glauber-Sudarshan P-representations are spurious statistical correlations due to Simpson's paradox from symmetry-breaking in ensemble averages over varying geometries.
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On statistical inference for non-linear dynamical systems evolving in their global attractor
Proves reverse Poincaré inequality on global attractor of 2D reaction-diffusion system to obtain near-parametric statistical recovery of initial conditions from discrete observations.
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A Guide to Estimating Conditional Average Treatment Effects in Competing Risks Settings
Compares six meta-learners (Cox/RSF risk models paired with elastic net/RF CATE models) via simulations differing in hazard complexity and censoring, and releases the R package crsurvlearners.