
lavaan.survey
 Referenced in 5 articles
[sw11938]
 equation models (SEM) including factor analysis, multivariate regression models with latent variables and many other...

blavaan
 Referenced in 2 articles
[sw24888]
 variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent...

regsem
 Referenced in 2 articles
[sw20287]
 with the application of both factor analysis and latent growth curve models...

LFADS
 Referenced in 0 articles
[sw16550]
 LFADS  Latent Factor Analysis via Dynamical Systems. Neuroscience is experiencing a data revolution in which ... analyzed. Here we introduce LFADS (Latent Factor Analysis via Dynamical Systems), a method to infer ... latent dynamics from simultaneously recorded, singletrial, highdimensional neural spiking data. LFADS ... dimensional temporal factors, pertrial initial conditions, and inferred inputs. We compare LFADS to existing...

DrBats
 Referenced in 0 articles
[sw18014]
 Feed longitudinal data into a Bayesian Latent Factor Model to obtain a lowrank representation ... Hilgert and S. Holmes, ”Bayesian Latent Factor Model for Functional Data Analysis”, Actes...

SupCP
 Referenced in 1 article
[sw24588]
 factorization. We describe a probabilistic PARAFAC/CANDECOMP (CP) factorization for multiway (i.e., tensor) data that incorporates ... fields. We use a novel likelihoodbased latent ... variable representation of the CP factorization, in which the latent variables are informed by additional...

FDGcopulas
 Referenced in 0 articles
[sw15273]
 variables are independent given a latent factor – whose linking copulas belong to the Durante class...

IMIFA
 Referenced in 0 articles
[sw20290]
 conducts Bayesian nonparametric modelbased clustering with factor analytic covariance structures without recourse to model ... number of clusters or clusterspecific latent factors, mostly via efficient Gibbs updates. Modelspecific...

Iavaan
 Referenced in 1 article
[sw14004]
 variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth...

bioNMF
 Referenced in 6 articles
[sw14438]
 been given to Nonnegative matrix factorization technique (NMF), due to its capability of providing ... insights and relevant information about the complex latent relationships in experimental data sets. This method...

SymNMF
 Referenced in 10 articles
[sw12668]
 matrix by a product of two nonnegative factors. NMF has been shown to produce clustering ... graph clustering method that captures latent linear and nonlinear relationships in the data...

TurboSMT
 Referenced in 3 articles
[sw35620]
 TurboSMT: parallel coupled sparse matrixtensor factorizations and applications. How can we correlate ... hand’)? In short, we want to find latent variables, that jointly explain both the brain ... many settings of the Coupled MatrixTensor Factorization (CMTF) problem. Can we enhance any CMTF ... TurboSMT is able to find meaningful latent variables, as well as to predict brain...

lsa
 Referenced in 4 articles
[sw19469]
 that text do have a higher order (=latent semantic) structure which, however, is obscured ... truncated singular value decomposition (a twomode factor analysis) over a given documentterm matrix...

MULTIRA
 Referenced in 2 articles
[sw11285]
 several latent traits. In this sense it is a probabilistic alternative to factor analysis. MULTIRA...

Venture
 Referenced in 8 articles
[sw14670]
 supports external models that do inference over latent variables hidden from Venture. Second, we describe ... partitions of execution histories called scaffolds that factor global inference problems into coherent subproblems...

LVGP
 Referenced in 1 article
[sw33790]
 Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors” by Yichi Zhang...

AMIDST
 Referenced in 5 articles
[sw21741]
 financial dataset) and using several models (LDA, factor analysis, mixture of Gaussians and linear regression ... than one billion nodes and approx. $75%$ latent variables using a computer cluster with...

MorphoMNIST
 Referenced in 1 article
[sw31838]
 assessment and diagnostics for representation learning. Revealing latent structure in data is an active field ... model learned to represent specific factors of variation in the data? We extend the popular ... trained models, identification of the roles of latent variables, and characterisation of sample diversity...

recosystem
 Referenced in 0 articles
[sw15860]
 www.csie.ntu.edu.tw/ cjlin/libmf/) for recommender system using matrix factorization. It is typically used to approximate ... product of two matrices in a latent space. Other common names for this task include...

hopit
 Referenced in 1 article
[sw30888]
 gender, agespecific, linguistic and other cultural factors (Jylha 2009 ; Oksuzyan ... cultural differences in how the continuous latent health is projected onto the ordinal selfrated...