stochastic search
The null distribution of stochastic search gene suggestion: a Bayesian approach to gene mapping
... Bayesian methods continue to permeate genetic epidemiology investigations of genetic markers associated with or linked to causal genes for complex diseases. The attraction of these methods is an ability to capitalize on ...
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Comparison between the stochastic search variable selection and the least absolute shrinkage and selection operator for genome wide association studies of rheumatoid arthritis
... Because multiple loci contribute to complete diseases, testing markers simultaneously instead of one by one may increase statistical power. Advanced technology can provide us thousands of high-quality marker genotypes. ...
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Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy
... scribed as working with a single very flexible model. The problems with such models are that they risk over-fitting and typically involve a large number of parameters which can be difficult to estimate with any ...
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Stochastic Search Variable Selection for Identifying Multiple Quantitative Trait Loci
... For complex traits governed by multiple QTL, it is neces- for identifying multiple quantitative trait loci in experi- sary to take the whole genome into account for estimating mental designs. Our method is based on a ...
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Towards Provably Complete Stochastic Search Algorithms for Satisfiability
... a stochastic, and complete, backtrack search algorithm for Propositional Satisfiability ...local search, often re- sort to ...backtrack search SAT algorithms that of- ten randomize variable ...
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Bayesian forecasting using stochastic search variable selection in a VAR subject to breaks
... Ιν τηισ παπερ, ωε υσε ωηατ Γεοργε, Συν ανδ Νι 2008 χαλλ α “δεφαυλτ σεmι−αυτοmατιχ αππροαχη” ωηιχη ρεθυιρεσ νο συβϕεχτιϖε πριορ ινφορmατιον φροm τηε ρεσεαρχηερ σεε τηε αππενδιξ φορ δεταιλ[r] ...
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Interval type 2 fuzzy modelling and stochastic search for real world inventory management
... the search for inventory plans as these have been shown to work well in previous experiments using earlier versions of the model, and simpler problems than the one used in this ...
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Stochastic search
... Stochastic global optimizers, such as simulated annealing, are simple to use, provably robust, more efficient than exhaustive search, and more general than special purpose heuristics.. R[r] ...
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Peptide refinement using a stochastic search
... determined by the sequence η, and so P (τ |η) = 1. Note that this posterior density is only known up to a constant and the actual form of the posterior density is complicated. Therefore, to obtain the posterior ...
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PID Controller Optimization for Rotational Inverted Pendulum System Using Particle Swarm Optimization and Differential Evolution Algorithms
... presents stochastic search techniques, including Particle Swarm Optimization (PSO), Constriction Coefficient Particle Swarm Optimization (CPSO) and Differential Evolution (DE) algorithms for determining ...
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Characterizing economic trends by Bayesian stochastic model specification search
... As far as model selection is concerned, given the limited number of specifications, one possibility is to compute the posterior model probabilities and select that specification which has the largest. However, this ...
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Bayesian stochastic model specification search for seasonal and calendar effects
... the stochastic search we consider specifica- tions that always include as explanatory variables the constant term, the set of 11 sine and cosine terms at the seasonal frequencies, the six trading days ...
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Identification of significant genes in genomics using Bayesian variable selection methods
... A variety of Bayesian variable selection methods based on Markov chain Monte Carlo (MCMC) approaches have been proposed for variable selection including the stochastic search variable [r] ...
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Digital Amplitude Control for Interference Suppression Using Immunity Genetic Algorithm
... on stochastic crossover evolution is introduced to find an optimal set of active array elements by turning off some elements of a uniformly spaced array to produce low side lobes with null ...the search ...
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An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search
... practice, stochastic search algorithms and randomized search heuristics are frequently restarted: If a run does not conclude within a pre-determined solution quality limit, we restart the algorithm ...
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Bayesian analysis of multiple thresholds autoregressive model
... Abstract. Bayesian analysis of threshold autoregressive (TAR) model with various possible thresholds is considered. A method of Bayesian stochastic search selection is introduced to identify a ...
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A stochastic local search algorithm with adaptive acceptance for high school timetabling
... (Hyper-heuristic Search Strategies and Timetabling) to high school timetabling which competed at the three rounds of the Third International Timetabling ...standard stochastic search method but ...
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Nonmyopic Sensor Scheduling and its Efficient Implementation for Target Tracking Applications
... number of options, the use of nonmyopic sensor schedul- ing can be difficult. This is because the computational time and memory requirements of the optimal scheduler can in- crease exponentially with the time horizon. The ...
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Dynamic Shortest Path Algorithm in Stochastic Traffic Networks Using PSO Based on Fluid Neural Network
... above, have considerable potential to be investigated in the pursuit for more efficient algorithms. PSO is such an evolutionary optimization technique, which can solve most of the problems solved by GA with less computa- ...
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A hybrid multiagent approach for global trajectory optimization
... Methods and tools for preliminary trajectory design have recently become an important topic within the space community. Space mission design is subdi- vided into different phases. The first one is a mission feasibility ...
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