Results 1 to 10 of about 182,801 (272)
Statistics and ComputingIn some applied scenarios, the availability of complete data is restricted, often due to privacy concerns; only aggregated, robust and inefficient statistics derived from the data are made accessible. These robust statistics are not sufficient, but they demonstrate reduced sensitivity to outliers and offer enhanced data protection due to their higher ...
Luciano, A, Robert, CP, Ryder, RJ
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Evolution with recombination as Gibbs sampling
Theoretical Population Biology, 2023 This work presents a population genetic model of evolution, which includes haploid selection, mutation, recombination, and drift. The mutation-selection equilibrium can be expressed exactly in closed form for arbitrary fitness functions without resorting to diffusion approximations.
J.M. Poulton (Jenny) +2 more
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Dissipative Quantum Gibbs Sampling
, 2023 20 pages, 15 Theorems etc.
Zhang, Daniel +2 more
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Markov Chain Monte Carlo Algorithms for Lattice Gaussian Sampling
, 2014 Sampling from a lattice Gaussian distribution is emerging as an important problem in various areas such as coding and cryptography. The default sampling algorithm --- Klein's algorithm yields a distribution close to the lattice Gaussian only if the ...
Hanrot, Guillaume +2 more
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Coalition Formation Game for Cooperative Cognitive Radio Using Gibbs Sampling [PDF]
, 2014 This paper considers a cognitive radio network in which each secondary user selects a primary user to assist in order to get a chance of accessing the primary user channel.
Abuzainab, Nof +2 more
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Gibbs Sampling, Exponential Families and Orthogonal Polynomials
, 2008 We give families of examples where sharp rates of convergence to stationarity of the widely used Gibbs sampler are available. The examples involve standard exponential families and their conjugate priors.
Diaconis, Persi +2 more
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Gibbs state sampling via cluster expansions
npj Quantum InformationGibbs states (i.e., thermal states) can be used for several applications such as quantum simulation, quantum machine learning, quantum optimization, and the study of open quantum systems.
Norhan M. Eassa +3 more
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Estimating CDMs Using the Slice-Within-Gibbs Sampler
Frontiers in Psychology, 2020 In this paper, the slice-within-Gibbs sampler has been introduced as a method for estimating cognitive diagnosis models (CDMs). Compared with other Bayesian methods, the slice-within-Gibbs sampler can employ a wide-range of prior specifications; moreover,
Xin Xu +4 more
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Efficient Quantum Gibbs Sampling with Local Circuits
PRX QuantumThe problem of simulating the thermal behavior of quantum systems remains a central open challenge in quantum computing. Unlike well-established quantum algorithms for unitary dynamics, provably efficient algorithms for preparing thermal states—crucial ...
Dominik Hahn +3 more
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