
LIBSVM
 Referenced in 861 articles
[sw04879]
 problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail...

VanHuffel
 Referenced in 194 articles
[sw05243]
 several linear parameter estimation techniques that have been devised to compensate for data errors...

tsbridge
 Referenced in 146 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 144 articles
[sw23186]
 squares fitting, can produce substantially inaccurate estimates of parameters for powerlaw distributions, and even...

STABLE
 Referenced in 98 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...

DAKOTA
 Referenced in 52 articles
[sw05202]
 ObjectOriented 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...

CAViaR
 Referenced in 111 articles
[sw04424]
 time using an autoregressive process and estimates the parameters with regression quantiles. Utilizing the criterion...

PROC NLMIXED
 Referenced in 49 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...

COPASI
 Referenced in 46 articles
[sw12253]
 dynamics and has extensive support for parameter estimation and optimization. COPASI provides means to visualize...

ACADO
 Referenced in 45 articles
[sw04764]
 including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented...

MODFLOW
 Referenced in 41 articles
[sw08690]
 aquifersystem compaction and land subsidence, parameter estimation, and groundwater management...

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...

VPLAN
 Referenced in 35 articles
[sw04239]
 software for modeling, simulation, parameter estimation and optimum experimental design for processes described by differential...

bnlearn
 Referenced in 35 articles
[sw08265]
 included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional...

ltm
 Referenced in 32 articles
[sw07911]
 Graded Response model is available. Parameter estimates are obtained under marginal maximum likelihood using...

YUIMA
 Referenced in 25 articles
[sw11399]
 Parameter estimation for the discretely observed fractional OrnsteinUhlenbeck process and the Yuima R package ... proposes consistent and asymptotically Gaussian estimators for the parameters ... fractional Brownian motion. For the estimation of the drift λ, the results are obtained only...

Amos
 Referenced in 56 articles
[sw06515]
 Uses Bayesian analysis—to improve estimates of model parameters. Offers various data imputation methods...

abc
 Referenced in 26 articles
[sw14871]
 Implements several ABC algorithms for performing parameter estimation, model selection, and goodnessoffit. Cross...

IBAL
 Referenced in 26 articles
[sw08945]
 observations. IBAL also integrates Bayesian parameter estimation and decisiontheoretic utility maximization thoroughly into the framework...

SBA
 Referenced in 23 articles
[sw05242]
 structure and motion (i.e. camera matrix) parameter estimates. Provided with initial estimates, BA simultaneously refines ... Fortunately, the lack of interaction among parameters for different 3D points and cameras results ... full control over the definition of the parameters describing cameras and 3D structure. Therefore ... orientation (i.e. pose) estimation from fixed 3D points, refinement of intrinsic parameters...