• LatticeKrig

  • Referenced in 6 articles [sw15594]
  • package LatticeKrig: Multiresolution Kriging Based on Markov Random Fields. Methods for the interpolation of large ... Kriging” approach using a large number of basis functions and provides spatial estimates that ... accomplished through compactly supported basis functions and a Markov random field model for the basis ... rectangular domain. The Markov random field approach combined with a basis function representation makes...
  • swim

  • Referenced in 2 articles [sw18261]
  • called the Hidden Markov Movement Model (HMMM). We implemented as the basis for the HMMM...
  • bnsoft

  • Referenced in 7 articles [sw08127]
  • systems. The graphical structure is also the basis of efficient inference algorithms.There are many different ... networks”) and on undirected graphs (also called “Markov random fields”). In this article, we review...
  • BayesNSGP

  • Referenced in 3 articles [sw30769]
  • specified either deterministically (using covariates or basis functions) or stochastically (using approximate Gaussian processes). Stationary ... Bayesian inference is carried out using Markov chain Monte Carlo methods via the ’nimble’ package...
  • YGGDRASIL

  • Referenced in 2 articles [sw18988]
  • split models include estimation, representation and a Markov property for reading off those independencies holding ... learning such models on the basis of data...
  • bsamGP

  • Referenced in 1 article [sw30055]
  • with a Fourier series based on cosine basis functions. Currently the package includes parametric linear ... model. To maximize computational efficiency, the actual Markov chain Monte Carlo sampling for each model...
  • SMM

  • Referenced in 1 article [sw22604]
  • simulation for multi-state discrete-time semi-Markov processes. For the parametric estimation, several discrete ... estimation can be done on the basis of one or several sample paths, with ... simulation of discrete-time k-th order Markov chains are also considered...
  • mBART

  • Referenced in 2 articles [sw41499]
  • predesignated subset of predictors using a multivariate basis of monotone trees, while avoiding the further ... implemented. In particular, the original BART Markov Chain Monte Carlo algorithm relied on a conditional...
  • ATLAS

  • Referenced in 199 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • CASA

  • Referenced in 105 articles [sw00108]
  • CASA is a special-purpose system for computational...
  • cdd

  • Referenced in 115 articles [sw00114]
  • The program cdd+ (cdd, respectively) is a C...
  • CoCoA

  • Referenced in 654 articles [sw00143]
  • CoCoA is a system for Computations in Commutative...
  • COLAMD

  • Referenced in 32 articles [sw00145]
  • Two codes are discussed, COLAMD and SYMAMD, that...
  • DEA

  • Referenced in 244 articles [sw00194]
  • Data Envelopment Analysis (DEA) is becoming an increasingly...
  • Expokit

  • Referenced in 198 articles [sw00258]
  • Expokit provides a set of routines aimed at...
  • GAP

  • Referenced in 3154 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • gmp

  • Referenced in 282 articles [sw00363]
  • GMP is a free library for arbitrary precision...
  • Gmsh

  • Referenced in 720 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • hypre

  • Referenced in 306 articles [sw00426]
  • hypre is a software library for the solution...
  • Isabelle

  • Referenced in 698 articles [sw00454]
  • Isabelle is a generic proof assistant. It allows...