• BACCO

  • Referenced in 8 articles [sw10536]
  • emulator carries out Bayesian emulation of computer code output; package calibrator allows ... incorporation of observational data into model calibration using Bayesian techniques. The package is then applied...
  • SAVE

  • Referenced in 3 articles [sw24205]
  • package SAVE: Bayesian Emulation, Calibration and Validation of Computer Models. Implements Bayesian statistical methodology ... computer models. It allows for the emulation, calibration, and validation of computer models, following methodology...
  • RobustCalibration

  • Referenced in 2 articles [sw27325]
  • Mathematical Models. Implements full Bayesian analysis for calibrating mathematical models with new methodology for modeling...
  • abcrf

  • Referenced in 19 articles [sw21308]
  • standard methodology that manages Bayesian inference for models associated with intractable likelihood functions. Most ... needs to be calibrated. We propose to conduct likelihood-free Bayesian inferences about parameters with...
  • calibrator

  • Referenced in 2 articles [sw25520]
  • complex computer codes. Performs Bayesian calibration of computer models as per Kennedy and O’Hagan...
  • JMbayes

  • Referenced in 18 articles [sw19775]
  • JMbayes for fitting these models under a Bayesian approach using Markon chain Monte Carlo algorithms ... wide range of joint models, including among others joint models for continuous and categorical longitudinal ... responses, and provides several options for modeling the association structure between the two outcomes ... these predictions in terms of discrimination and calibration. All these features are illustrated using...
  • BaPC

  • Referenced in 1 article [sw40983]
  • Bayesian Arbitrary Polynomial Chaos. BaPC Matlab Toolbox offers an advanced framework for stochastic model calibration ... arbitrary polynomial chaos expansion (aPC) and strict Bayesian principles. BaPC framework follows the idea ... arbitrary distributions for modelling parameters, which can be either discrete, continuous, or discretized continuous...
  • ArchaeoChron

  • Referenced in 1 article [sw37181]
  • program for the analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation ... event date with or without radiocarbon calibration...
  • BMIRT ToolKit

  • Referenced in 5 articles [sw13942]
  • send it to me. Calibration software: BMIRTII(Yao, 2003, 2010), Bayesian Multivariate item Response Theory ... produce item and ability parameter estimates and model fit statistics such...
  • bgaPEST

  • Referenced in 2 articles [sw27873]
  • Bayesian aspect of bgaPEST is related to Bayesian probability theory in which prior information about ... formally revised on the basis of the calibration dataset used for the inversion. Conceptually, this ... estimated parameters on the specific data and model available. The geostatistical component of the method ... parameters to avoid overfitting and unrealistic results. Bayesian Geostatistical Approach is designed to provide...
  • popReconstruct

  • Referenced in 2 articles [sw07437]
  • formal demographic accounting relationships in a Bayesian hierarchical model. Informative priors are specified for vital ... their respective measurement error variances. We investigate calibration of central posterior marginal probability intervals...
  • ClustMMDD

  • Referenced in 1 article [sw15215]
  • subset S of clustering variables. Competing models are compared by penalized maximum likelihood criteria ... considered asymptotic criteria such as Akaike and Bayesian Information criteria, and a family of penalized ... with penalty function to be data driven calibrated...
  • BayesianTools

  • Referenced in 0 articles [sw18813]
  • functions for Bayesian statistics, with a particular focus on calibrating complex system models. Implemented samplers...
  • CaliCo

  • Referenced in 1 article [sw25519]
  • every computational code. It uses a Bayesian framework to rule the estimation. With ... into account the new calibrated parameters. The choices between several models is also available...
  • MHTrajectoryR

  • Referenced in 3 articles [sw18786]
  • Bayesian model selection in logistic regression for the detection of adverse drug reactions. Spontaneous adverse ... viewed as a model selection challenge. Since the model space is huge, a Metropolis-Hastings ... model selection by maximizing the BIC criterion. Thus, we avoid the calibration of penalty...
  • pyblocxs

  • Referenced in 1 article [sw38409]
  • MCMC) based algorithm designed to carry out Bayesian Low-Count X-ray Spectral (BLoCXS) analysis ... suspected minimum using a predefined Sherpa model to high-energy X-ray spectral data. pyBLoCXS ... priors and allows for variations in the calibration information. It can be used to compute...
  • calibration

  • Referenced in 1 article [sw31731]
  • apply two calibration procedures for checking the coverage of approximate Bayesian credible sets, including intervals ... realisation of the user’s ideal observation model conditioned on the parameter, and the parameter...
  • scgwr

  • Referenced in 1 article [sw28372]
  • development is the calibration of the model through a pre-compression of the matrices ... With this development, the ScaGWR can be calibrated with more than one million samples without ... estimator can be regarded as an empirical Bayesian estimator that is more stable than...
  • CaliBayes

  • Referenced in 1 article [sw27254]
  • calibration, simulation and storage of biological simulation models. Dynamic simulation modelling of complex biological processes ... backbone of systems biology. Discrete stochastic models are particularly appropriate for describing sub-cellular molecular ... stochastic effects play an important role in models of human ageing, where ageing results from ... this problem for SBML models. It uses a sequential Bayesian MCMC method, which is powerful...
  • KNITRO

  • Referenced in 196 articles [sw00490]
  • KNITRO is a solver for nonlinear optimization. It...