For bounded e-variables the GROW value equals the relative entropy of the weak-* joint information projection pair between arbitrary P and Q.
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Volterra Equations Driven by Semimartingales
13 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 13representative citing papers
A condition-number principle shows that small suboptimality in admissible prototype clustering objectives implies small misclassification error when the condition number is low, with phase transitions for exact recovery.
Power-one sequential tests exist for testing any weakly compact null set of distributions against its complement.
A new sampler for discrete distributions using coin flips that combines linearithmic space, negligible runtime overhead, and entropy-optimal expected flips in [H(P), H(P)+2).
Characterizes the distributional mean-field limit of co-evolving latent space networks with feedback, including empirical measures and graphon convergence, via a conditional propagation of chaos result.
Proves cutoff at entropic time log n/h for reversible mixtures of permuted Markov chains under mild assumptions on the base chains.
Under α < d < (1+γ)α the centered and rescaled occupation-time process of a critical age-dependent branching system with Poisson immigration converges weakly in tempered distributions to a centered Gaussian process with explicit covariance that is self-similar and long-range dependent.
A strong law of large numbers holds for random semigroups with unbounded generators in the strong operator topology on uniformly smooth Banach spaces.
Constructs QMLE for drift parameter in singular Volterra SDE with small diffusion, proving path reconstruction error O(h^{1/2}) independent of roughness α and yielding efficient estimator as ε→0.
Presents a drift transformation framework for multidimensional diffusions that yields product-form transition densities, with explicit results for Wiener and Ornstein-Uhlenbeck cases including resetting and stochastic ordering.
A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.
Constructs a consistent and asymptotically normal trajectory fitting estimator for the drift parameter θ* in singular-kernel stochastic Volterra equations under small-noise asymptotics.
A review summarizing definitions, canonical forms, exact and approximate distributions, numerical methods, applications, and open problems for quadratic forms in real and complex Gaussian variables, including multiforms and ratios.
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Efficient Rejection Sampling in the Entropy-Optimal Range
A new sampler for discrete distributions using coin flips that combines linearithmic space, negligible runtime overhead, and entropy-optimal expected flips in [H(P), H(P)+2).
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Mean-Field Analysis of Latent Variable Process Models on Dynamically Evolving Graphs with Feedback Effects
Characterizes the distributional mean-field limit of co-evolving latent space networks with feedback, including empirical measures and graphon convergence, via a conditional propagation of chaos result.
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Drift estimation for rough processes under small noise asymptotic : QMLE approach
Constructs QMLE for drift parameter in singular Volterra SDE with small diffusion, proving path reconstruction error O(h^{1/2}) independent of roughness α and yielding efficient estimator as ε→0.
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Drift estimation for rough processes under small noise asymptotic : trajectory fitting method
Constructs a consistent and asymptotically normal trajectory fitting estimator for the drift parameter θ* in singular-kernel stochastic Volterra equations under small-noise asymptotics.