MALLIAVIN STRUCTURE FOR CONDITIONALLY INDEPENDENT RANDOM VARIABLES
On any denumerable product of probability spaces, we extend the discrete Malliavin structure for conditionally independent random variables. As a consequence, we obtain the chaos decomposition for functionals of conditionally independent random variables.
Decreusefond, Laurent, Vuong, Christophe
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Inference for Deep Neural Network Estimators in Generalized Nonparametric Models. [PDF]
J Am Stat AssocMeng X, Li Y.
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Limit theorems for random permanents with exchangeable structure
Permanents of random matrices extend the concept of U-statistics with product kernels. In this paper, we study limiting behavior of permanents of random matrices with independent columns of exchangeable components.
Rempala, Grzegorz A., Wesolowski, Jacek
core
On the equivalence between classically verifiable position verification and certified randomness. [PDF]
Nat CommunKaleoglu F +6 more
europepmc +1 more source
Thompson Sampling for Non-Stationary Bandit Problems. [PDF]
Entropy (Basel)Qi H, Guo F, Zhu L.
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Decompositions of finite high-dimensional random arrays
A d-dimensional random array on a nonempty set I is a stochastic process (Formula presented) indexed by the set (Formula presented) of all d-element subsets of I.
Tyros, Konstantinos +2 more
core
Cumulant-Based Approaches for Testing the Assumption of Independent Errors in Non-Gaussian Parallel and Congeneric Measures. [PDF]
Educ Psychol MeasWiedermann W, Shi D.
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Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion. [PDF]
Sci RepMalik M +4 more
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Testing generalized linear models with high-dimensional nuisance parameter. [PDF]
Biometrika, 2023 Chen J, Li Q, Chen HY.
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Multi-Armed Bandit-Based User Network Node Selection. [PDF]
Sensors (Basel)Gao Q, Xie Z.
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