
Mplus
 Referenced in 347 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 339 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 166 articles
[sw22202]
 knowledge of the geometry of the data observed in earlier iterations to perform more informative...

DAISY
 Referenced in 54 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 57 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...

DOS
 Referenced in 48 articles
[sw36317]
 package DOS: Design of Observational Studies. Contains data sets, examples and software from the book...

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...

missForest
 Referenced in 40 articles
[sw19483]
 random forest trained on the observed values of a data matrix to predict the missing...

SINDy
 Referenced in 29 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...

EnKF
 Referenced in 441 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...

ROBPCA
 Referenced in 77 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 76 articles
[sw34664]
 smoothing methods in data analysis, an important question is which observed features are “really there...

bernor
 Referenced in 10 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...

FacetNet
 Referenced in 16 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 16 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...

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

reccv
 Referenced in 36 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...

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

mi
 Referenced in 28 articles
[sw10551]
 comparing the distributions of observed and imputed data. In addition, we use Bayesian models...

ROMS
 Referenced in 35 articles
[sw30140]
 Together with advanced methods of data assimilation and novel observing system technologies, these capabilities constitute...