• SBA

  • Referenced in 23 articles [sw05242]
  • camera matrix) parameter estimates. Provided with initial estimates, BA simultaneously refines motion and structure ... Fortunately, the lack of interaction among parameters for different 3D points and cameras results ... full control over the definition of the parameters describing cameras and 3D structure. Therefore ... intrinsically calibrated cameras, exterior orientation (i.e. pose) estimation from fixed 3D points, refinement of intrinsic...
  • cirt

  • Referenced in 10 articles [sw08115]
  • nested within individuals. All parameters can be estimated simultaneously using an MCMC estimation approach...
  • HDDM

  • Referenced in 8 articles [sw16420]
  • statistical power, allowing for simultaneous estimation of individual subject parameters and the group distribution that...
  • msgl

  • Referenced in 10 articles [sw26552]
  • sparse group lasso penalty. Simultaneous feature selection and parameter estimation for classification. Suitable for high...
  • FAMT

  • Referenced in 25 articles [sw11123]
  • FAMT: Factor Analysis for Multiple Testing (FAMT) : simultaneous tests under dependence in high-dimensional data ... variance in multiple tests. The model parameters are estimated thanks to an EM algorithm. Adjusted...
  • milr

  • Referenced in 0 articles [sw15884]
  • binary outcomes and performs the maximum likelihood estimation with the Expectation-Maximization algorithm under ... attached to the likelihood function for simultaneous parameter estimation and variable selection...
  • msBayes

  • Referenced in 3 articles [sw24735]
  • distributed population-pairs. Simultaneous isolation is tested by estimating three hyper-parameters that characterize...
  • phtt

  • Referenced in 3 articles [sw24362]
  • estimate the number of the unobserved factors simultaneously with the remaining model parameters...
  • SIT

  • Referenced in 0 articles [sw19637]
  • implementing several numerical schemes (state estimation, simultaneous state and parameter estimation) within the framework...
  • SupCP

  • Referenced in 1 article [sw24588]
  • algorithm for simultaneous estimation of all model parameters. SupCP can be used for dimension reduction...
  • CIRFE

  • Referenced in 1 article [sw27640]
  • local estimate of the parameter components in its interest set by simultaneously processing the latest...
  • CLEMM

  • Referenced in 1 article [sw31323]
  • envelope methodology aims for simultaneous dimension reduction and efficient parameter estimation, and includes a very...
  • FarmTest

  • Referenced in 3 articles [sw31555]
  • fast data-drive tuning schemes to estimate model parameters and construct test statistics that ... asymetric error distributions. Extensions to two-sample simultaneous mean comparison problems are also included ... compute adaptive Huber mean and covariance matrix estimators that are of independent interest...
  • TIMP

  • Referenced in 8 articles [sw07964]
  • spectroscopic measurements. The package allows for the simultaneous analysis of datasets collected under different experimental ... parameters that are intrinstically nonlinear, and some parameters that are conditionally linear on estimates...
  • dcminfo

  • Referenced in 1 article [sw27929]
  • item and structural model parameters are considered simultaneously. Specifically, the observed information matrix, the empirical ... used to estimate the asymptotic co-variance matrix (or the model parameter standard errors) within...
  • amei

  • Referenced in 3 articles [sw21015]
  • emerging epidemic while simultaneously propagating uncertainty regarding underlying disease parameters through to the decision process ... current population state and updated parameter estimates...
  • iDEMO

  • Referenced in 3 articles [sw21172]
  • build a linear degradation model which can simultaneously consider the unit-to-unit variation, time ... iDEMO provides the maximum likelihood estimates of the unknown parameters, mean-time-to-failure...
  • QuestPlus

  • Referenced in 1 article [sw27235]
  • rapid and flexible method of estimating the parameters of a psychophysical model, and is also ... ability to vary multiple stimulus properties simultaneously...
  • OKVAR-Boost

  • Referenced in 3 articles [sw24063]
  • operator-valued kernels that simultaneously learns the model parameters, as well as the network structure ... developed to perform the tasks of parameter learning and network inference for the proposed model ... ensemble of such models. The empirical estimation of the ensemble model’s Jacobian matrix provides...
  • TVR-DART

  • Referenced in 3 articles [sw27583]
  • prior knowledge of the scanned object simultaneously, TVR-DART solves the discrete reconstruction problem within ... gray values and the thresholds are estimated as the reconstruction improves through iterations. Extensive experiments ... algorithm requires less effort on parameter tuning compared with the original DART algorithm. With...