Results 91 to 100 of about 338,538 (315)
Sample caching Markov chain Monte Carlo approach to boson sampling simulation
Boson sampling is a promising candidate for quantum supremacy. It requires to sample from a complicated distribution, and is trusted to be intractable on classical computers.
Yong Liu+12 more
doaj +1 more source
Aspects of population Markov chain Monte Carlo and reversible jump Markov chain Monte Carlo [PDF]
This thesis consists ideas of two new population Markov chain Monte Carlo algorithms and an automatic proposal mechanism for the Reversible jump Markov chain Monte Carlo ...
Bakra, Eleni
core +1 more source
The Bootstrap and Markov-Chain Monte Carlo [PDF]
This note concerns the use of parametric bootstrap sampling to carry out Bayesian inference calculations. This is only possible in a subset of those problems amenable to Markov-Chain Monte Carlo (MCMC) analysis, but when feasible the bootstrap approach offers both computational and theoretical advantages.
openaire +3 more sources
Markov chain simulation for multilevel Monte Carlo
This paper considers a new approach to using Markov chain Monte Carlo (MCMC) in contexts where one may adopt multilevel (ML) Monte Carlo. The underlying problem is to approximate expectations w.r.t. an underlying probability measure that is associated to a continuum problem, such as a continuous-time stochastic process.
Jasra, Ajay, Law, Kody J. H., Xu, Yaxian
openaire +5 more sources
Abstract Academic libraries, institutions, and publishers are interested in predicting future publishing output to help evaluate publishing agreements. Current predictive models are overly simplistic and provide inaccurate predictions. This paper presents Bayesian and frequentist statistical models to predict future article counts and costs.
Philip M. Dixon, Eric Schares
wiley +1 more source
Supplement to "Markov Chain Monte Carlo Based on Deterministic Transformations" [PDF]
This is a supplement to the article "Markov Chain Monte Carlo Based on Deterministic Transformations" available at http://arxiv.org/abs/1106 ...
arxiv
In this paper, we discuss the study of some signal processing problems within Bayesian frameworks and semigroups theory, in the case where the Banach space under consideration may be nonseparable. For applications, the suggested approach may be of interest in situations where approximation in the norm of the space is not possible.
Natasha Samko, Harpal Singh
wiley +1 more source
Study of Jupiter’s Interior with Quadratic Monte Carlo Simulations
We construct models for Jupiter’s interior that match the gravity data obtained by the Juno and Galileo spacecraft. To generate ensembles of models, we introduce a novel quadratic Monte Carlo technique, which is more efficient in confining fitness ...
Burkhard Militzer
doaj +1 more source
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco+4 more
wiley +1 more source
Abstract Studies examining the associations of chronic stressors with sleep health in older adults have shown conflicting results. While the COVID‐19 pandemic increased perceived stress at the population level, less is known about chronic stressors experienced by older adults in the context of the COVID‐19 pandemic and its impact on sleep health in an ...
Wan‐Chin Kuo+4 more
wiley +1 more source