
MIM
 Referenced in 134 articles
[sw26139]
 including loglinear models, Gaussian models, and models for mixed discrete and continuous variables. Further...

bnlearn
 Referenced in 74 articles
[sw08265]
 RSMAX2) structure learning algorithms for both discrete and Gaussian networks, along with many score functions ... classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation...

gcmr
 Referenced in 27 articles
[sw07433]
 identifies and develops the class of Gaussian copula models for marginal regression analysis ... linear regression models with normal correlated errors. Any kind of continuous, discrete and categorical responses...

RHmm
 Referenced in 5 articles
[sw10935]
 hidden Markov models simulations and estimations. R package: Discrete, univariate or multivariate gaussian, mixture...

spate
 Referenced in 6 articles
[sw12265]
 functionality for spatiotemporal modeling of large data sets. A Gaussian process in space ... after discretizing in time and space, a linear Gaussian state space model is obtained. When...

glarma
 Referenced in 5 articles
[sw23274]
 generalized linear autoregressive moving average (GLARMA) models for discrete valued time series with regression variables ... observation driven nonlinear nonGaussian state space models. The state vector consists...

HTK
 Referenced in 15 articles
[sw07937]
 toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition ... HMMs using both continuous density mixture Gaussians and discrete distributions and can be used...

Dirac++
 Referenced in 17 articles
[sw37208]
 either a free Gaussian wave packet or an arbitrary discretized spinor function that is loaded ... contains a large C++ class library to model the geometric algebra representation of spinors that...

GSPPCA
 Referenced in 5 articles
[sw25977]
 probabilistic interpretation of PCA and an isotropic Gaussian prior on the loading matrix, we provide ... Bayesian PCA model. Moreover, in order to avoid the drawbacks of discrete model selection...

CGBayesNets
 Referenced in 3 articles
[sw24664]
 with mixed discrete and continuous data. CGBayesNets builds and predicts with conditional Gaussian Bayesian networks ... other functions for supporting all phases of model exploration and verification, including cross validation, bootstrapping...

scModels
 Referenced in 1 article
[sw41031]
 Count Data. Provides functions for fitting discrete distribution models to count data. Included ... Poisson, the negative binomial, the Poissoninverse gaussian and, most importantly, a new implementation...

iDUDE
 Referenced in 5 articles
[sw21734]
 aimed at recovering discrete sequences corrupted by discrete memoryless noise of known statistical characteristics ... basic DUDE scheme by incorporating statistical modeling tools that have proven successful in addressing similar ... symmetric noise, and perform well for Gaussian noise...

netgwas
 Referenced in 3 articles
[sw21512]
 Studies. Graphical models provide powerful tools to model and make the statistical inference regarding complex ... conditional independence network for nonGaussian, discrete, and mixed data (Behrouzi and Wit, 2017a), particularly...

Symbulate
 Referenced in 1 article
[sw30830]
 friendly framework for conducting simulations involving probability models. The syntax of Symbulate reflects the ”language ... events; discrete and continuous random variables; joint, conditional, and marginal distributions; stochastic processes; discrete ... continuoustime Markov chains; Poisson processes; and Gaussian processes, including Brownian motion. In this work...

treeHFM
 Referenced in 0 articles
[sw15805]
 Hidden Factor graph models generalise Hidden Markov Models to tree structured data. The distinctive feature ... events. It can be applied to all discrete and continuous data that is structured ... case of continuous observations, ’treeHFM’ has Gaussian distributions as emissions...

Algorithm 1013
 Referenced in 2 articles
[sw41107]
 order stationary increments or generalized increments) vector Gaussian random fields in Euclidean spaces are presented ... below that of sequential, matrix decomposition and discrete spectral algorithms. Also, the implementation is versatile ... hypergeometric, iterated exponential, gamma, and stable covariance models in the (d)dimensional Euclidean space...

ProSper
 Referenced in 1 article
[sw30605]
 Discrete Sparse Coding (DSC), Maximal Causes Analysis (MCA), Maximum Magnitude Causes Analysis (MMCA), and Gaussian ... millions of floatingpoint numbers such that models with several hundred thousand parameters...

ADOLC
 Referenced in 249 articles
[sw00019]
 ADOLC: Automatic Differentiation of C/C++. We present...

AMD
 Referenced in 60 articles
[sw00039]
 Algorithm 837: AMD is a set of routines...