• BayesTree

  • Referenced in 59 articles [sw07995]
  • BayesTree: Bayesian Methods for Tree Based Models: Implementation of BART: Bayesian Additive Regression Trees ... Bayesian regression approach which uses dimensionally adaptive random basis elements. Motivated by ensemble methods...
  • BUGS

  • Referenced in 364 articles [sw07885]
  • Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. The project...
  • PMTK

  • Referenced in 168 articles [sw14689]
  • learning, graphical models, and Bayesian statistics (hence the logo). (Some methods from frequentist statistics, such...
  • pomp

  • Referenced in 41 articles [sw10664]
  • variety of frequentist and Bayesian methods. It is also a platform for the implementation...
  • spBayes

  • Referenced in 330 articles [sw10160]
  • geostatistical data are often best analyzed with Bayesian hierarchical models. Unfortunately, fitting such models involves ... computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon the specific problem...
  • BaM

  • Referenced in 25 articles [sw06085]
  • books by Jeff Gill , Books is ”Bayesian Methods: A Social and Behavioral Sciences Approach, Second...
  • bayesm

  • Referenced in 55 articles [sw06787]
  • business students. We discuss our experiences teaching Bayesian statistics to students in doctoral programs ... statistics and a predisposition against likelihood-based methods stemming from prior exposure to econometrics. This ... course that emphasizes the value of the Bayesian approach to solving nontrivial problems. The success ... bayesm, which provides efficient implementation of advanced methods and models...
  • ConfBands

  • Referenced in 30 articles [sw12330]
  • estimators. We consider three types of estimation methods: (a) as a standard (fixed effect) nonparametric ... random effects, and (c) a full Bayesian approach. The volume-of-tube formula ... applied for the first two methods and compared with Bayesian simultaneous confidence bands from ... either Bayesian or frequentist properties. Simulations and data analysis support the proposed methods...
  • BioBayes

  • Referenced in 25 articles [sw08082]
  • BioBayes: a software package for Bayesian inference in systems biology. MOTIVATION: There are several levels ... which cannot be observed directly. The methods of Bayesian inference provide a consistent framework...
  • Auto-WEKA

  • Referenced in 24 articles [sw21536]
  • using a state-of-the-art Bayesian optimization method. Our new package is tightly integrated...
  • dlm

  • Referenced in 28 articles [sw04503]
  • Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear State Space models ... univariate and multivariate data. The main methods and models are illustrated with examples based ... Bayesian analysis for linear regression models are reminded, and Markov chain Monte Carlo methods ... Bayesian inference. The last chapter is on sequential Monte Carlo methods...
  • Data2Dynamics

  • Referenced in 10 articles [sw25272]
  • algorithms as well as frequentist and Bayesian methods for uncertainty analysis have been implemented...
  • MrBayes

  • Referenced in 55 articles [sw07715]
  • Phylogeny. MrBayes is a program for Bayesian inference and model choice across a wide range ... MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution of model...
  • HDDM

  • Referenced in 11 articles [sw16420]
  • HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python. The diffusion model ... model to data, current estimation methods require an abundance of response time measurements to recover ... each parameter. In contrast, hierarchical Bayesian parameter estimation methods are useful for enhancing statistical power ... subject/condition than non-hierarchical methods, allows for full Bayesian data analysis, and can handle outliers...
  • ARACNE

  • Referenced in 35 articles [sw17200]
  • rates and outperforms established methods, such as Relevance Networks and Bayesian Networks. Application...
  • PSMIX

  • Referenced in 5 articles [sw13670]
  • population structure inference via maximum likelihood method. Background: Inference of population stratification and individual admixture ... association mapping and evolutionary studies. Bayesian methods have been proposed for population stratification and admixture ... widely used in practice. However, these Bayesian methods demand intensive computation resources ... Conclusion: Compared with software based on Bayesian methods (e.g., STRUCTURE), PSMIX has similar accuracy...
  • Amos

  • Referenced in 60 articles [sw06515]
  • Uses Bayesian analysis—to improve estimates of model parameters. Offers various data imputation methods...
  • bnpmr

  • Referenced in 19 articles [sw11018]
  • monotonic nonparametric regression. Implements the Bayesian nonparametric monotonic regression method described in Bornkamp & Ickstadt...
  • LibBi

  • Referenced in 13 articles [sw19384]
  • software package for state-space modelling and Bayesian inference on modern computer hardware, including multi ... runs code for the given model, inference method and hardware platform. In presenting the software ... space models and the specialised methods developed for Bayesian inference with them. The focus...
  • EBSeq

  • Referenced in 7 articles [sw17161]
  • that varies across isoform groups. Count-based methods were not designed to accommodate this varying ... advantage of the merits of empirical Bayesian methods, we have developed EBSeq for identifying...