• EnKF

  • Referenced in 362 articles [sw02066]
  • EnKF-The Ensemble Kalman Filter The EnKF is a sophisticated sequental data assimilation method ... model states to represent the error statistics of the model estimate, it applies ensemble integrations ... predict the error statistics forward in time, and it uses an analysis scheme which operates ... Meteorological Centers. See the article ”Ensemble Kalman Filters Bring Weather Models Up to Date...
  • Scilab

  • Referenced in 167 articles [sw00834]
  • unconstrained continuous and discrete optimization problems. Statistics: Tools to perform data analysis and modeling Control ... system study Signal Processing: Visualize, analyze and filter signals in time and frequency domains. Application...
  • Gplag

  • Referenced in 7 articles [sw08961]
  • GPLAG scalable to large programs, a statistical lossy filter is proposed to prune the plagiarism...
  • AOSNET

  • Referenced in 2 articles [sw02204]
  • neural network implementation of adjustable order statistic filters in fixed time. A neural network, AOSNET ... block for hardware implementation of order statistic filters. Examples of using AOSNET for implementing...
  • dlm

  • Referenced in 28 articles [sw04503]
  • Dynamic Linear Models. Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear ... Models. This book gives an introduction to statistical time series analysis by dynamic linear models ... models and state space models, the Kalman filter for estimation and forecasting in dynamic linear...
  • SsfPack

  • Referenced in 65 articles [sw09502]
  • routines for carrying out computations involving the statistical analysis of univariate and multivariate models ... space form. Basic functions are available for filtering, moment smoothing and simulation smoothing. Ready ... relevant to many areas of econometrics and statistics. Some Gaussian illustrations are given...
  • spdep

  • Referenced in 33 articles [sw04578]
  • Index, Getis/Ord G and multicoloured join count statistics, local Moran’s I and Getis/Ord ... models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial...
  • AMON

  • Referenced in 3 articles [sw35497]
  • allows the addition of further statistical and filtering modules for real-time forensics...
  • robfilter

  • Referenced in 6 articles [sw10976]
  • functions to filter time series based on concepts from robust statistics...
  • ThiNet

  • Referenced in 4 articles [sw34568]
  • that we need to prune filters based on statistics information computed from its next layer...
  • Bubbles

  • Referenced in 8 articles [sw08870]
  • image sequences. Recently, different models of the statistical structure of natural images have been proposed ... maximization of the sparsenesses of linear filter outputs. This leads to the emergence of principal ... account of the basic dependencies of linear filter outputs permit modeling of complex cells ... propose a unifying framework for these statistical properties, based on the concept of spatiotemporal activity...
  • VAMPIR

  • Referenced in 20 articles [sw09406]
  • diagrams, activity charts, time-line displays, and statistics. Moreover, it supports an animation mode that ... locate performance bottlenecks, and it provides flexible filter operations to reduce the amount of information...
  • STAMP

  • Referenced in 43 articles [sw09536]
  • STAMP is a statistical / econometric software system for time series models with unobserbed components such ... using state space methods and Kalman filtering. However, STAMP is set up in an easy...
  • ARSyN

  • Referenced in 2 articles [sw09280]
  • study, affect the residuals of the applied statistical models, and hamper data analysis. Commonly, normalization ... filtered data obtained after applying ARSyN can be further analyzed with appropriate statistical techniques ... performance of the filtering strategy, we have applied different statistical approaches for MTCM analysis ... other filtering techniques, we can conclude that the proposed method increases the statistical power...
  • libDirectional

  • Referenced in 1 article [sw28692]
  • Directional Statistics and Filtering Using libDirectional. In this paper, we present libDirectional, a MATLAB library ... directional statistics and directional estimation. It supports a variety of commonly used distributions ... available. Based on these distributions, several recursive filtering algorithms in libDirectional allow estimation on these...
  • BiGGEsTS

  • Referenced in 2 articles [sw23417]
  • integrates well known techniques for preprocessing data: filtering genes, filling missing values, smoothing, normalization ... find out which contain statistically relevant biological information or even filtered or sorted according...
  • PyClimate

  • Referenced in 3 articles [sw29475]
  • library of statistical distribution functions, multivariate digital filters, time-handling routines, kernel-based probability density...
  • Midge

  • Referenced in 1 article [sw36515]
  • syntactically informed word co-occurrence statistics, the generator filters and constrains the noisy detections output...
  • HCViewer

  • Referenced in 1 article [sw22147]
  • including data filtering (i.e., detection and removal of outliers and fraud cases), statistics and spatial ... sensitivity (94.5--99.2%) of the filtering criteria. Retrospective analysis of the HCs’ bioimpedance database revealed ... related health statistics from some regions without a preliminary filtering of the underlying raw data...
  • ClueGO

  • Referenced in 9 articles [sw22916]
  • used, the terms are selected by different filter criteria. The related terms which share similar ... ClueGO network is created with kappa statistics and reflects the relationships between the terms based...