• AS 253

• Referenced in 20 articles [sw14087]
• Maximum likelihood estimation of the RC(M) association model. This paper describes a Fortran...

• RM-MEDA

• Referenced in 39 articles [sw08554]
• MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm. Under mild conditions ... multiobjective optimization problem is a piecewise continuous (m - 1)-D manifold, where ... m is the number of objectives. Based on this regularity property, we propose a regularity ... model-based multiobjective estimation of distribution algorithm (RM-MEDA) for continuous multiobjective optimization problems with...

• smoothmest

• Referenced in 3 articles [sw25356]
• package smoothmest: Smoothed M-estimators for 1-dimensional location. Some M-estimators for 1-dimensional ... Cauchy distribution, and the estimators from application of the smoothing principle introduced in Hampel, Hennig ... above, the Huber M-estimator, and the median, main function is smoothm), and Pitman estimator...

• fastM

• Referenced in 4 articles [sw16160]
• package fastM: Fast Computation of Multivariate M-estimators. The package implements the new algorithm ... M-scatter matrices using a partial Newton-Raphson procedure for several estimators...

• COBYLA2

• Referenced in 43 articles [sw05136]
• hundred at most). An SLP method with estimation of gradients by linear interpolation ... function as merit function. Inequality constraints only. M. Powell’s paper on Direct Search Methods...

• tsqn

• Referenced in 4 articles [sw19449]
• frequency domains. More specifically, the robust estimation of autocorrelation or autocovariance matrix functions from ... given. This packages also provides the M-estimator of the long-memory parameter d based...

• rsem

• Referenced in 4 articles [sw06771]
• applied researchers. In the first stage, M-estimates of the saturated mean vector and covariance...

• EL

• Referenced in 2 articles [sw30087]
• location parameters using smoothed M-estimators We consider one of the classical problems in statistics ... difference of two smoothed M-estimators. To deal with additional nuisance scale parameters ... important case of the smoothed Huber M-estimator. Our empirical results show that...

• HyperLogLog

• Referenced in 22 articles [sw02063]
• near-optimal probabilistic algorithm, HyperLogLog, dedicated to estimating the number of distinct elements (the cardinality ... data ensembles. Using an auxiliary memory of m units (typically, “short bytes”), HyperLogLog performs ... pass over the data and produces an estimate of the cardinality such that the relative...

• Wirtinger Flow

• Referenced in 110 articles [sw34175]
• m (knowledge of the phase of these samples would yield a linear system). This paper ... spectral method, and then refines this initial estimate by iteratively applying novel update rules, which...

• COBRA

• Referenced in 9 articles [sw14858]
• over a collection of basic estimators r 1 ,...,r M , we use them ... fast. More specifically, the resulting nonparametric/nonlinear combined estimator is shown to perform asymptotically at least...

• SVM

• Referenced in 31 articles [sw14904]
• against all, one against one and M-SVM; Large Scale SVM Classification/Regression; SVM epsilon ... Class SVM; Regularisation Networks; SVM bounds (Span estimate, radius/margin); Wavelet Kernel; SVM Based Feature Selection...

• EbayesThresh

• Referenced in 17 articles [sw11103]
• M. Johnstone and B. W. Silverman. The basic problem is to estimate a mean vector...

• MsdeParEst

• Referenced in 22 articles [sw25419]
• Mixed-Effects Stochastic Differential Equations. Parametric estimation in stochastic differential equations with random effects ... both. Approximate maximum likelihood methods are used. M. Delattre, V. Genon-Catalot and A. Samson...

• geex

• Referenced in 1 article [sw32393]
• package geex: An API for M-Estimation. Provides a general, flexible framework for estimating parameters ... unbiased estimating equations (i.e., M-estimation in the vein of Stefanski & Boos...

• CIMGS

• Referenced in 12 articles [sw17583]
• positive definite M-matrices, CIMGS induces a regular splitting and better estimates the complete Cholesky ... even when the matrix is not an M-matrix. When the drop set satisfies...

• poissonMT

• Referenced in 1 article [sw28196]
• package poissonMT: Robust M-Estimators Based on Transformations for Poisson Model. R functions ... based on transformation (L2T) and robust M-estimators based on transformations (MT-estimators) for Poisson...

• UStatBookABSC

• Referenced in 1 article [sw26172]
• Package to the Book ”U-Statistics, M-Estimation and Resampling”. A set of functions leading ... inner products and norms, weighted least squares estimates on multivariate responses, function to compute fitted ... companion to the book ”U-Statistics, M-estimation and Resampling”, by Arup Bose and Snigdhansu...

• Sheppack

• Referenced in 16 articles [sw07352]
• linear estimation) intended for data from piecewise linear functions in arbitrary dimension m. The main...

• robcor

• Referenced in 1 article [sw26699]
• scale, particularly on ”FastQn” one-step M-estimate...