Results 201 to 210 of about 173,418 (245)

Classification of Mammography Images Based on Multifractal Analysis of BIMFs. [PDF]

open access: yesInt J Biomed Imaging
Ghazi F   +4 more
europepmc   +1 more source
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Optimal dividend and stopping problems for two-dimensional compound poisson risk model

Communications in Statistics - Theory and Methods, 2023
We consider a optimal dividend and stopping problem for two-dimensional compound Poisson risk model. The two companies allow to help each other by transffering payments.
Jingwei Li, Guoxin Liu
semanticscholar   +1 more source

Optimal Stopping and Strategic Espionage

Social Science Research Network, 2020
We study a continuous-time reputation game in which an informed player bene ts from persistent private information while an uninformed player suffers from it. Observing noisy signals of the informed player's actions, the uninformed player chooses when to
J. Choi   +4 more
semanticscholar   +1 more source

On Universal Sequential Classification from Sequentially Observed Empirical Statistics

Information Theory Workshop, 2022
The focus of this paper is on binary classification of a sequentially observed stream of i.i.d. samples, based on sequentially observed empirical statistics. The decision maker (classifier) sequentially observes a sequence of testing data i.i.d.
Chia-Yu Hsu   +2 more
semanticscholar   +1 more source

Asymptotically optimal prior-free clock auctions

Journal of Economics Theory, 2020
Clock auctions have a number of properties that make them attractive for practical purposes. They are weakly group strategy-proof, make bidding truthfully an obviously dominant strategy, and preserve trading agents' privacy.
S. Loertscher, L. Marx
semanticscholar   +1 more source

A Unified Study on Sequentiality in Universal Classification With Empirically Observed Statistics

IEEE Transactions on Information Theory
In the binary hypothesis testing problem, it is well known that sequentiality in taking samples eradicates the trade-off between two error exponents, yet implementing the optimal test requires the knowledge of the underlying distributions, say $P_{0 ...
Ching-Fang Li, I. Wang
semanticscholar   +1 more source

Optimal group sequential designs constrained on both overall and stage one error rates

Communications in Statistics - Theory and Methods, 2019
Optimized group sequential designs proposed in the literature have designs minimizing average sample size with respect to a prior distribution of treatment effect with overall type I and type II error rates well-controlled (i.e., at final stage).
Yanning Liu, Dayong Li
semanticscholar   +1 more source

Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions

International Conference on Machine Learning
We study the asymptotic error of score-based diffusion model sampling in large-sample scenarios from a non-parametric statistics perspective. We show that a kernel-based score estimator achieves an optimal mean square error of $\widetilde{O}\left(n^{-1 ...
Kaihong Zhang   +3 more
semanticscholar   +1 more source

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