• quantreg

  • Referenced in 161 articles [sw04356]
  • nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate...
  • SCAPE

  • Referenced in 27 articles [sw19408]
  • building a human shape model that spans variation in both subject shape and pose ... rigid deformations. We learn a pose deformation model that derives the non-rigid surface deformation ... skeleton. We also learn a separate model of variation based on body shape...
  • ADVI

  • Referenced in 27 articles [sw34040]
  • approximate Bayesian inference. Deriving variational inference algorithms requires tedious model-specific calculations; this makes ... automatic differentiation variational inference (ADVI). The user only provides a Bayesian model and a dataset ... broad class of models. The algorithm automatically determines an appropriate variational family and optimizes ... With ADVI we can use variational inference on any model we write in Stan...
  • PARAFAC

  • Referenced in 24 articles [sw14789]
  • adequately distinct patterns of three-way variation, the model is fully identified; the orientation...
  • HLM

  • Referenced in 44 articles [sw06516]
  • generate a linear model with explanatory variables that account for variations at each level, utilizing...
  • DeepAdverserialRegulariser

  • Referenced in 16 articles [sw42064]
  • purely model-based methods. Among those variational regularization models are one of the most popular ... inverse problem by solving the corresponding variational problem. Unlike other data-based approaches for inverse...
  • Wirtinger Flow

  • Referenced in 110 articles [sw34175]
  • computational and data resources. In theory, a variation on this scheme leads to a near ... linear time algorithm for a physically realizable model based on coded diffraction patterns. We illustrate...
  • BacSim

  • Referenced in 22 articles [sw17261]
  • various bacteria under different conditions, the model uses as few as eight readily obtainable parameters ... growth-rate-dependent cell size variation, a conceptual model of cell division proposed by Donachie ... cell sizes correctly. For maintenance, the Herbert model (constant specific rate of biomass consumption ... loss of synchrony due to random variation of cell parameters or spatial heterogeneity. Variation...
  • STABLE

  • Referenced in 110 articles [sw04843]
  • functions”, J. P. Nolan, Commun. Statist.-Stochastic Models, 13(4), 759-774 (1997). Also included ... Stuck’s algorithm to generate stable random variates. It also performs maximum likelihood estimation...
  • Eigenstrat

  • Referenced in 56 articles [sw33845]
  • explicitly model ancestry differences between cases and controls along continuous axes of variation; the resulting...
  • D-NURBS

  • Referenced in 17 articles [sw09123]
  • laborious. D-NURBS are physics-based models that incorporate physical quantities into the NURBS geometric ... meaningful, and hence intuitive shape variation. Consequently, a modeler can interactively sculpt complex shapes...
  • FTVd

  • Referenced in 71 articles [sw12220]
  • based Deconvolution. FTVd refers to Fast Total Variation (TV) deconvolution, and is a TV based ... fast solvers for the TV/L2 and TV/L1 models, which are compatible with both grayscale...
  • convex_learning

  • Referenced in 4 articles [sw32735]
  • convex variational model for learning convolutional image atoms from incomplete data. A variational model...
  • MAST

  • Referenced in 8 articles [sw30709]
  • propose a two-part, generalized linear model for such bimodal data that parameterizes both ... source of nuisance variation. Our model provides gene set enrichment analysis tailored to single-cell...
  • VAMPnets

  • Referenced in 19 articles [sw32927]
  • will lead to large modeling errors. Here we employ the variational approach for Markov processes ... better than state-of-the art Markov modeling methods and provides easily interpretable few-state...
  • RStan

  • Referenced in 87 articles [sw13990]
  • parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library ... Chain Monte Carlo, rough Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood estimation...
  • Worm plot

  • Referenced in 13 articles [sw08567]
  • curves for the median, variation and skewness, respectively. The major modelling task is to choose...
  • FABIA

  • Referenced in 12 articles [sw23382]
  • tails. FABIA utilizes well understood model selection techniques like variational approaches and applies the Bayesian...
  • tvreg

  • Referenced in 27 articles [sw14426]
  • total variation (TV) regularized image denoising, deconvolution, and inpainting. Three different noise models are supported...
  • PennCNV

  • Referenced in 16 articles [sw19390]
  • integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome ... provide a complete view of human genetic variation. The resolution of CNV detection in previous ... Here we present PennCNV, a hidden Markov model (HMM) based approach, for kilobase-resolution detection...