
Mplus
 Referenced in 335 articles
[sw06511]
 different populations with either observed or unobserved heterogeneity, and data that contain missing values. Analyses ... carried out for observed variables that are continuous, censored, binary, ordered categorical (ordinal), unordered categorical ... capabilities for Monte Carlo simulation studies, where data can be generated and analyzed according...

LISREL
 Referenced in 323 articles
[sw06514]
 latent (unobservable) variables. If data are collected for the observed variables of the theoretical model ... used to fit the model to the data...

AdaGrad
 Referenced in 97 articles
[sw22202]
 knowledge of the geometry of the data observed in earlier iterations to perform more informative...

DAISY
 Referenced in 44 articles
[sw09059]
 from measured input–output data, under ideal conditions (noisefree observations and errorfree model ... parameters can be uniquely recovered from observed data is essential before investing resources, time...

msm
 Referenced in 45 articles
[sw08096]
 multistate models to longitudinal data. A variety of observation schemes are supported, including ... processes observed at arbitrary times (panel data), continuouslyobserved processes, and censored states. Both Markov...

ASMOD
 Referenced in 14 articles
[sw02122]
 algorithm for adaptive spline modelling of observation data Nonlinear system identification by modelling the underlying ... relationships in observation data is an important application area for artificial neural networks and other...

DOS
 Referenced in 33 articles
[sw36317]
 package DOS: Design of Observational Studies. Contains data sets, examples and software from the book...

MPTinR
 Referenced in 15 articles
[sw11244]
 parametric bootstrap and plot predicted versus observed data...

FacetNet
 Referenced in 15 articles
[sw20426]
 approach is inappropriate in applications with noisy data. In this paper, we propose FacetNet ... jointly maximize the fit to the observed data and the temporal evolution. Our approach relies...

CRCP
 Referenced in 15 articles
[sw18339]
 model. Furthermore, availability of the cloudscale data allows for explicit coupling of moist convection ... with an example of application to observational data from the Phase III of the Global...

ROBPCA
 Referenced in 66 articles
[sw11592]
 matrix of the data and hence is highly sensitive to outlying observations. Two robust approaches ... limited to relatively lowdimensional data. The second approach is based on projection pursuit...

SiZer
 Referenced in 64 articles
[sw34664]
 smoothing methods in data analysis, an important question is which observed features are “really there...

hmm
 Referenced in 14 articles
[sw05422]
 sequence of states from the observed data...

EnKF
 Referenced in 346 articles
[sw02066]
 Filter The EnKF is a sophisticated sequental data assimilation method. It applies an ensemble ... ensemble of model states when observations are assimilated. The EnKF has proven to efficiently handle...

missForest
 Referenced in 29 articles
[sw19483]
 random forest trained on the observed values of a data matrix to predict the missing...

reccv
 Referenced in 35 articles
[sw26388]
 nonparametric regression, where the data are modelled as observations of a signal contaminated with additive ... wavelet thresholding estimators developed to denoise such data. These estimators arise from a wide range...

bernor
 Referenced in 7 articles
[sw19665]
 there are missing data and the observed data likelihood is not available in closed form ... identically distributed and independent of the observed data. Our Monte Carlo approximation ... information, as both Monte Carlo and observed data sample sizes go to infinity simultaneously. Plug...

mi
 Referenced in 26 articles
[sw10551]
 comparing the distributions of observed and imputed data. In addition, we use Bayesian models...

PIKAIA
 Referenced in 11 articles
[sw04744]
 given model against an observational data set. We have used this modeling tool ... structural information about these stars from observations of their oscillation frequencies. The efficient, parallel exploration...

SINDy
 Referenced in 17 articles
[sw30277]
 nonlinear dynamics (SINDy) is a recently proposed datadriven modelling framework that uses sparse regression ... determined that is consistent with observed measurement data and satisfies necessary constraints. Galerkin regression models...