Introduces TSBM, a new Bayesian model for directed networks that enforces ordered blocks via transitivity-inducing priors on directional imbalance and jointly infers block count with an age-ordered partition prior.
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Minimax test and neyman-pearson lemma for capacities
17 Pith papers cite this work. Polarity classification is still indexing.
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Direct fixed-weight solver for free-support Wasserstein medians relocates atoms using OT barycentric projections and inverse-distance weights, achieving monotone descent on smoothed objectives with fewer subproblems than nested Weiszfeld baselines.
Derives the asymptotic distribution of the spatial Cramér-von Mises independence statistic under β-mixing on R² and implements it in Python with eigenvalue-based critical values.
Rigorous security proofs for variable-length QKD, phase-error bounding with imperfect detectors, marginal-constrained entropy accumulation, and authentication reductions place practical QKD on firmer mathematical ground.
DP-GD achieves minimax optimal non-asymptotic risk O(γ + γ²/ρ²) for well-conditioned high-dimensional data and power-law scaling for ill-conditioned power-law spectra, with the exponent depending on the privacy parameter ρ.
Two stick-breaking constructions for the normalized inverse Gaussian process are derived from Aldous-Pitman (1998) and James (2013) results and generalized to mixed Poisson-Kingman and Poisson-Gamma families.
The nonparametric Kiefer-Weiss problem is solved by deriving an optimal stopping policy based on a two-dimensional statistic (likelihood ratio plus expected remaining sample size) whose randomization rule maps the likelihood ratio to an integer sample size.
New RSS-adapted L-estimators for quantiles, including a scalable rank-stratum component version, deliver efficiency gains over standard empirical estimators in simulations and a real NHANES application.
A plausibility-augmented imprecise-probability model updates via sampling (plausibilistic Bayes) or inequalities and proves almost-sure convergence of beliefs to the true probability.
Develops generator-agnostic audits for combinatorial uniformity on the hypersimplex using marginal chi-square, pair maxima, serial overlap, anchored-box discrepancy and low-dimensional geometry, with a finite-witness guarantee.
Demonstration of dual-chip InP-SiN time-bin BB84 QKD system with QBER below 4% and kbps secret key rates over 150-250 km fiber using finite-key security analysis.
New asymptotically pivotal and identification-robust nonparametric tests for parameters in linear IV models handling unknown heteroskedasticity.
A review reframing density estimation as 'density evolution' across scales, linking kernel smoothing to heat flow, mixtures to compression, and topology to level sets, while stating three structural results on modes, Gaussian semigroups, and log-concavity.
Unsupervised DINOv2 embedding and DPMM clustering of 188,000+ O4a spectrograms finds all clusters map to known Gravity Spy classes with cosine similarity >0.98, yielding a null result on novel morphologies.
DANTE applies domain-adapted Vision Transformers, Multiple Instance Learning, and adaptive Dirichlet Process Mixture Models to unsupervisedly detect and triage extended transients in LIGO O4a data while stressing the need for native background recalibration.
Football fever in spectators follows a V-shaped time course captured as a latent process from heart rate and stress data via time-dependent structural equation modeling.
Bayesian nonparametric mixtures of Poisson and normal regressions using DP and PY priors are fitted via MCMC to predict claims frequency and severity, with an illustration on French motor insurance data.
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On two overlooked stick-breaking constructions of the normalized inverse Gaussian process
Two stick-breaking constructions for the normalized inverse Gaussian process are derived from Aldous-Pitman (1998) and James (2013) results and generalized to mixed Poisson-Kingman and Poisson-Gamma families.