Fast free energy estimates from λ-dynamics with bias-updated Gibbs sampling [PDF]
Nature Communications, 2023 Relative binding free energy calculations have become an integral computational tool for lead optimization in structure-based drug design. Classical alchemical methods, including free energy perturbation or thermodynamic integration, compute relative ...
Michael T. Robo +4 more
doaj +2 more sources
Bayesian Estimation of the DINA Model With Pólya-Gamma Gibbs Sampling [PDF]
Frontiers in Psychology, 2020 With the increasing demanding for precision of test feedback, cognitive diagnosis models have attracted more and more attention to fine classify students whether has mastered some skills.
Zhaoyuan Zhang +3 more
doaj +2 more sources
Representation of complex probabilities and complex Gibbs sampling
EPJ Web of Conferences, 2018 Complex weights appear in Physics which are beyond a straightforward importance sampling treatment, as required in Monte Carlo calculations. This is the wellknown sign problem.
Salcedo Lorenzo Luis
doaj +3 more sources
Exploring phylogenetic hypotheses via Gibbs sampling on evolutionary networks [PDF]
BMC Genomics, 2016 Background Phylogenetic networks are leaf-labeled graphs used to model and display complex evolutionary relationships that do not fit a single tree. There are two classes of phylogenetic networks: Data-display networks and evolutionary networks.
Yun Yu +2 more
doaj +2 more sources
Gibbs Sampling Detection for Large MIMO and MTC Uplinks with Adaptive Modulation [PDF]
Sensors, 2022 Wireless networks beyond 5G will mostly be serving myriads of sensors and other machine-type communications (MTC), with each device having different requirements in respect to latency, error rate, energy consumption, spectral efficiency or other ...
Francisco Rosário +1 more
doaj +2 more sources
Comment: Lancaster Probabilities and Gibbs Sampling
Statistical Science, 2008 Published in at http://dx.doi.org/10.1214/08-STS252A the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Letac, Gérard
openaire +5 more sources
Recycling Gibbs sampling [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Martino, Luca +2 more
openaire +3 more sources
Computational phase transition signature in Gibbs sampling
Journal of Physics: Complexity, 2023 Gibbs sampling is fundamental to a wide range of computer algorithms. Such algorithms are set to be replaced by physics based processors—be it quantum or stochastic annealing devices—which embed problem instances and evolve a physical system into a low ...
Hariphan Philathong +3 more
doaj +1 more source
PhyloGibbs-MP: module prediction and discriminative motif-finding by Gibbs sampling. [PDF]
PLoS Computational Biology, 2008 PhyloGibbs, our recent Gibbs-sampling motif-finder, takes phylogeny into account in detecting binding sites for transcription factors in DNA and assigns posterior probabilities to its predictions obtained by sampling the entire configuration space. Here,
Rahul Siddharthan
doaj +1 more source
Performance of Alternative BVAR Models for Forecasting Iranian Macroeconomic Variables: An Application of Gibbs Sampling [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2015 Low and stable inflation with sustainable growth is the first objective of any monetary authority. To achieve this prime goal, reliable forecast of macroeconomic variables play an important role.
Hassan Heidari, Parisa Jouhari Salmasi
doaj +1 more source