Sequential Monte Carlo controller that integrates physical consistency and motion knowledge
Sign Up to like & getrecommendations! Published in 2019 at "Autonomous Robots"
DOI: 10.1007/s10514-018-9815-5
Abstract: Stochastic modeling of motion primitives is a well-developed approach to representing demonstrated motions. Such models have been used in kinematic motion recognizers and synthesizers due to their compact representation of types of high-dimensional motions. They… read more here.
Keywords: monte carlo; joint torques; sequential monte; physical consistency ... See more keywords
Posterior exploration based sequential Monte Carlo for global optimization
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DOI: 10.1007/s10898-017-0543-8
Abstract: We propose a global optimization algorithm based on the sequential Monte Carlo (SMC) sampling framework. In this framework, the objective function is normalized to be a probabilistic density function (pdf), based on which a sequence… read more here.
Keywords: posterior exploration; global optimization; monte carlo; based sequential ... See more keywords
Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference
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DOI: 10.1007/s11222-021-10075-x
Abstract: Many real-world problems require one to estimate parameters of interest, in a Bayesian framework, from data that are collected sequentially in time. Conventional methods for sampling from posterior distributions, such as Markov chain Monte Carlo… read more here.
Keywords: carlo sampler; monte carlo; kalman filter; ensemble kalman ... See more keywords
Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation
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DOI: 10.1007/s12021-018-9407-8
Abstract: Microscopic images of neuronal cells provide essential structural information about the key constituents of the brain and form the basis of many neuroscientific studies. Computational analyses of the morphological properties of the captured neurons require… read more here.
Keywords: reconstruction; microscopy; monte carlo; carlo estimation ... See more keywords
A Bayesian approach to find Pareto optima in multiobjective programming problems using Sequential Monte Carlo algorithms
Sign Up to like & getrecommendations! Published in 2018 at "Omega"
DOI: 10.1016/j.omega.2017.05.009
Abstract: In this paper we consider a new approach to multicriteria decision making problems. Such problems are, usually, cast into a Pareto framework where the objective functions are aggregated into a single one using certain weights.… read more here.
Keywords: decision; monte carlo; sequential monte; approach ... See more keywords
Particle filter efficiency under limited communication
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DOI: 10.1093/biomet/asac015
Abstract: Sequential Monte Carlo methods are typically not straightforward to implement on parallel architectures. This is because standard resampling schemes involve communication between all particles. The α-sequential Monte Carlo method was proposed recently as a potential… read more here.
Keywords: sequential monte; limited communication; monte carlo; communication ... See more keywords
Sequential Monte Carlo for response adaptive randomized trials.
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DOI: 10.1093/biostatistics/kxy048
Abstract: Response adaptive randomized clinical trials have gained popularity due to their flexibility for adjusting design components, including arm allocation probabilities, at any point in the trial according to the intermediate results. In the Bayesian framework,… read more here.
Keywords: adaptive randomized; monte carlo; response adaptive; sequential monte ... See more keywords
An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics.
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DOI: 10.1093/sysbio/syz028
Abstract: We describe an "embarrassingly parallel" method for Bayesian phylogenetic inference, annealed Sequential Monte Carlo (SMC), based on recent advances in the SMC literature such as adaptive determination of annealing parameters. The algorithm provides an approximate… read more here.
Keywords: method bayesian; monte carlo; sequential monte; method ... See more keywords
Cooperative Localization for Multiple Soccer Agents Using Factor Graphs and Sequential Monte Carlo
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DOI: 10.1109/access.2020.3040602
Abstract: This paper addresses the cooperative localization problem for a multiagent system in the framework of belief propagation. In particular, we consider the RoboCup 3D Soccer Simulation scenario, in which the networked agents are able to… read more here.
Keywords: monte carlo; soccer; factor; sequential monte ... See more keywords
A hybrid method of the sequential Monte Carlo and the Edgeworth expansion for computation of very small p-values in permutation tests
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DOI: 10.1177/0962280218791918
Abstract: Permutation tests are very useful when parametric assumptions are violated or distributions of test statistics are mathematically intractable. The major advantage of permutation tests is that the procedure is so general that it is applicable… read more here.
Keywords: permutation; permutation tests; small values; sequential monte ... See more keywords
Bayesian estimation of scaled mutation rate under the coalescent: a sequential Monte Carlo approach
Sign Up to like & getrecommendations! Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1948-6
Abstract: BackgroundSamples of molecular sequence data of a locus obtained from random individuals in a population are often related by an unknown genealogy. More importantly, population genetics parameters, for instance, the scaled population mutation rate Θ=4Neμ… read more here.
Keywords: monte carlo; population; sequential monte; mutation rate ... See more keywords