• LIBSVM

  • Referenced in 799 articles [sw04879]
  • problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail...
  • VanHuffel

  • Referenced in 193 articles [sw05243]
  • several linear parameter estimation techniques that have been devised to compensate for data errors...
  • tsbridge

  • Referenced in 145 articles [sw12354]
  • functions that can be used to estimate normalising constants using the bridge sampler of Meng ... time series Bayesian models, where parameters are estimated using BUGS, and models themselves are created...
  • plfit

  • Referenced in 120 articles [sw23186]
  • squares fitting, can produce substantially inaccurate estimates of parameters for power-law distributions, and even...
  • STABLE

  • Referenced in 89 articles [sw04843]
  • also performs maximum likelihood estimation of stable parameters and some exploratory data analysis techniques ... paper ”Maximum likelihood estimation of stable parameters”, J. P. Nolan, in the book Levy Processes...
  • CAViaR

  • Referenced in 100 articles [sw04424]
  • time using an autoregressive process and estimates the parameters with regression quantiles. Utilizing the criterion...
  • DAKOTA

  • Referenced in 43 articles [sw05202]
  • Object-Oriented Framework for Design Optimization,Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis, The Dakota ... sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance...
  • PROC NLMIXED

  • Referenced in 43 articles [sw11039]
  • optimization problem results in parameter estimates along with their approximate standard errors based ... effects. You can also estimate arbitrary functions of the nonrandom parameters, and PROC NLMIXED computes...
  • ACADO

  • Referenced in 40 articles [sw04764]
  • including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented...
  • ARfit

  • Referenced in 32 articles [sw00046]
  • simulating AR processes. ARfit estimates the parameters of AR models from given time series data ... construct approximate confidence intervals for the estimated parameters and compute statistics with which the adequacy...
  • MODFLOW

  • Referenced in 37 articles [sw08690]
  • aquifer-system compaction and land subsidence, parameter estimation, and groundwater management...
  • VPLAN

  • Referenced in 34 articles [sw04239]
  • software for modeling, simulation, parameter estimation and optimum experimental design for processes described by differential...
  • COPASI

  • Referenced in 32 articles [sw12253]
  • dynamics and has extensive support for parameter estimation and optimization. COPASI provides means to visualize...
  • bnlearn

  • Referenced in 30 articles [sw08265]
  • included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional...
  • ltm

  • Referenced in 28 articles [sw07911]
  • Graded Response model is available. Parameter estimates are obtained under marginal maximum likelihood using...
  • Amos

  • Referenced in 52 articles [sw06515]
  • Uses Bayesian analysis—to improve estimates of model parameters. Offers various data imputation methods...
  • ESTIMA

  • Referenced in 15 articles [sw00249]
  • being the choice of computationally intensive parameter estimation procedure and the second being the mandatory ... first case, a variety of efficient parameter estimation algorithms is necessary to cover the broad ... systems. A few typical examples of parameter estimation and post-processing capabilities are demonstrated...
  • IBAL

  • Referenced in 23 articles [sw08945]
  • observations. IBAL also integrates Bayesian parameter estimation and decisiontheoretic utility maximization thoroughly into the framework...
  • MARK

  • Referenced in 16 articles [sw24801]
  • Populations of Marked Animals. MARK provides parameter estimates from marked animals when they ... animal. MARK can also estimate the size of closed populations. Parameters can be constrained ... sine, log, and identity. The estimates of model parameters are computed via numerical maximum likelihood ... techniques. The number of parameters that are estimable in the model are determined numerically...
  • glasso

  • Referenced in 228 articles [sw07432]
  • models for different values of the tuning parameter. Convergence of glasso can be tricky ... might not be the inverse of the estimated covariance, and occasionally it fails to converge...