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.
hub
Minimax test and neyman-pearson lemma for capacities
14 Pith papers cite this work. Polarity classification is still indexing.
14
Pith papers citing it
hub tools
representative citing papers
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.
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.
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.
citing papers explorer
-
Ordering Stochastic Block Models via prior transitivity
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.
-
Fast Computation of Free-Support Wasserstein Medians
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.
-
The Spatial Cram'{e}r--von Mises Test of Independence under $\beta$-Mixing: Asymptotic Theory and Python Implementation
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 Practical Quantum Key Distribution
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.
-
High-Dimensional Private Linear Regression with Optimal Rates
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.
-
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.
-
L-Estimation of Population Quantiles Using Ranked Set Sampling
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.
-
Learning Probabilities: Towards a Logic of Statistical Learning
A plausibility-augmented imprecise-probability model updates via sampling (plausibilistic Bayes) or inequalities and proves almost-sure convergence of beliefs to the true probability.
-
Auditing Combinatorial Randomness from Finite Transcripts
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.
-
Time-Bin BB84 QKD System Using Indium Phosphide and Silicon Nitride Photonic Integrated Circuits
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.
-
Pivotal and identification-robust nonparametric inference in linear IV models
New asymptotically pivotal and identification-robust nonparametric tests for parameters in linear IV models handling unknown heteroskedasticity.
-
DANTE: A Reference-Guided Unsupervised Pipeline for Extended-Transient Anomaly Characterization in LIGO O4a
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.
-
Time-dependent structural equation modeling of fans' football fever using activity tracking data during the 2025 DFB Cup final
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.
-
Modeling Insurance Claims using Bayesian Nonparametric Regression
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.