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, 2015 The theory of learning under the uniform distribution is rich and deep, with connections to cryptography, computational complexity, and the analysis of boolean functions to name a few areas.
Kanade, Varun, Mossel, Elchanan
core +2 more sources
MCMC Techniques for Parameter Estimation of ODE Based Models in Systems Biology
Frontiers in Applied Mathematics and Statistics, 2019 Ordinary differential equation systems (ODEs) are frequently used for dynamical system modeling in many science fields such as economics, physics, engineering, and systems biology.
Gloria Isabel Valderrama Bahamóndez +1 more
exaly +3 more sources
Quantum Speedups for Multiproposal MCMC. [PDF]
Bayesian AnalMultiproposal Markov chain Monte Carlo (MCMC) algorithms choose from multiple proposals to generate their next chain step in order to sample from challenging target distributions more efficiently. However, on classical machines, these algorithms require $\mathcal{O}(P)$ target evaluations for each Markov chain step when choosing from $P$ proposals ...
Lin CY +5 more
europepmc +5 more sources
Tehran Stock Exchange Return Forecasting: Comparison of Bayesian, Exponential Smoothing and Box Jenkins Approaches [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2022 Stock returns forecasting is very crucial for investors, share-holders and arbiters. Different methods have been developed for this purpose. In general, there are four methods of forecasting in stock markets, which are; Technical Analysis, Fundamental ...
Mojtaba Rostami +1 more
doaj +1 more source
Annual Review of Statistics and Its Application, 2022 Markov chain Monte Carlo is the engine of modern Bayesian statistics, being used to approximate the posterior and derived quantities of interest. Despite this, the issue of how the output from a Markov chain is postprocessed and reported is often overlooked.
South, Leah +3 more
openaire +5 more sources
Parameter Estimation in Mass Balance Model Applied in Fixed Bed Adsorption Using the Markov Chain Monte Carlo Method [PDF]
Journal of Heat and Mass Transfer Research, 2022 In this work, a mathematical model is adopted to predict the breakthrough curve in a fixed bed adsorption process, neglecting radial dispersion effects in the bed, with properties such as interstitial velocity and porosity being constant, linear ...
Rhaisa Tavares +6 more
doaj +1 more source
Journal of Open Research Software, 2021 The North American Breeding Bird Survey (BBS) is the primary ecological monitoring program used to assess the population, status, and trends of North American birds.
Brandon P. M. Edwards, Adam C. Smith
doaj +1 more source
Efficient Bayesian Structural Equation Modeling in Stan
Journal of Statistical Software, 2021 Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof.
Edgar C. Merkle +3 more
doaj +1 more source
Accelerating MCMC algorithms [PDF]
WIREs Computational Statistics, 2018 Markov chain Monte Carlo algorithms are used to simulate from complex statistical distributions by way of a local exploration of these distributions. This local feature avoids heavy requests on understanding the nature of the target, but it also potentially induces a lengthy exploration of this target, with a requirement on the number of simulations ...
Robert, Christian P. +3 more
openaire +5 more sources
Monthly Notices of the Royal Astronomical Society, 2021 ABSTRACTWe introduce Bilby-MCMC, a Markov chain Monte Carlo sampling algorithm tuned for the analysis of gravitational waves from merging compact objects. Bilby-MCMC provides a parallel-tempered ensemble Metropolis-Hastings sampler with access to a block-updating proposal library including problem-specific and machine learning proposals. We demonstrate
G Ashton, C Talbot
openaire +3 more sources