LazySampling and LinearSampling: fast stochastic sampling of RNA secondary structure with applications to SARS-CoV-2
Sign Up to like & getrecommendations! Published in 2022 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkac1029
Abstract: Abstract Many RNAs fold into multiple structures at equilibrium, and there is a need to sample these structures according to their probabilities in the ensemble. The conventional sampling algorithm suffers from two limitations: (i) the… read more here.
Keywords: linearsampling fast; lazysampling linearsampling; secondary structure; sampling algorithm ... See more keywords
Stepping-stone sampling algorithm for calculating the evidence of gravitational wave models
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.99.084006
Abstract: Bayesian statistical inference has become increasingly important for the analysis of observations from the Advanced LIGO and Advanced Virgo gravitational-wave detectors. To this end, iterative simulation techniques, in particular nested sampling and parallel tempering, have… read more here.
Keywords: stepping stone; gravitational wave; sampling algorithm; stone sampling ... See more keywords
ROI-Based LiDAR Sampling Algorithm in on-Road Environment for Autonomous Driving
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2927036
Abstract: As the acquisition of laser range measurements such as those from light detection and ranging (LiDAR) sensors requires a considerable amount of time, to design an effective sampling algorithm is a critical task in numerous… read more here.
Keywords: lidar; road; sampling algorithm; algorithm road ... See more keywords
A Novel Sequential Sampling Algorithm for Reliability Assessment of Microgrids
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3010648
Abstract: Due to the polymorphic uncertainties in microgrids (MGs), prohibitive computational burden is produced in reliability assessment. In this work, a novel sequential sampling algorithm (NSSA) compatible with sequential Monte Carlo (SMC) simulation is developed to… read more here.
Keywords: novel sequential; sampling algorithm; reliability assessment; sequential sampling ... See more keywords
A Novel and Highly Effective Bayesian Sampling Algorithm Based on the Auxiliary Variables to Estimate the Testlet Effect Models
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2021.509575
Abstract: In this paper, a new two-parameter logistic testlet response theory model for dichotomous items is proposed by introducing testlet discrimination parameters to model the local dependence among items within a common testlet. In addition, a… read more here.
Keywords: sampling algorithm; testlet effect; testlet; bayesian sampling ... See more keywords