
dlm
 Referenced in 28 articles
[sw04503]
 analysis for linear regression models are reminded, and Markov chain Monte Carlo methods are presented...

StOpt
 Referenced in 7 articles
[sw32903]
 dynamic programming methods based on Monte Carlo with regressions (global, local and sparse regressors ... methods are provided to solve by Monte Carlo some problems where the underlying stochastic state...

Statistics Toolbox
 Referenced in 18 articles
[sw10157]
 regression or classification for predictive modeling, generate random numbers for Monte Carlo simulations, use statistical ... shrinkage, or use partial least squares regression. The toolbox provides supervised and unsupervised machine learning...

ESS++
 Referenced in 4 articles
[sw24089]
 Bayesian variable selection for linear regression using evolutionary Monte Carlo. ESS++ is a C++ implementation ... approach for single and multiple response linear regression. ESS++ works well both when the number ... relevant predictors is based on evolutionary Monte Carlo. The C++ implementation of ESS++ is open...

SSS
 Referenced in 31 articles
[sw07794]
 Large p” regression Model search in regression with very large numbers of candidate predictors raises ... standard approaches such as Markov chain Monte Carlo (MCMC) methods are often infeasible or ineffective ... aspects of performance characteristics in largescale regression model searches. We also provide software implementing...

ROAST
 Referenced in 7 articles
[sw17318]
 ROAST uses rotation, a Monte Carlo technology for multivariate regression. Since the number of rotations...

mlOSP
 Referenced in 1 article
[sw36181]
 mlOSP: Towards a Unified Implementation of Regression Monte Carlo Algorithms. We introduce mlOSP, a computational ... presents a unified numerical implementation of Regression Monte Carlo (RMC) approaches to optimal stopping, providing ... well as in terms of machine learning regression modules. At the same time, mlOSP nests...

blasso
 Referenced in 13 articles
[sw06769]
 regression coefficients. Posterior inference is easily achieved using Markov chain Monte Carlo (MCMC) methods. Uncertainty...

bcp
 Referenced in 9 articles
[sw14696]
 using Markov Chain Monte Carlo. It also extends the methodology to regression models...

dynaTree
 Referenced in 4 articles
[sw07923]
 design Inference by sequential Monte Carlo for dynamic tree regression and classification models with hooks...

GWmodel
 Referenced in 4 articles
[sw08531]
 advanced GW regression fits and diagnostics; (iii) associated Monte Carlo significance tests for nonstationarity...

UNCSAM
 Referenced in 4 articles
[sw00990]
 UNCSAM combines a Monte Carlo based approach (sampling and simulation) with regression and correlation analysis...

zoib
 Referenced in 4 articles
[sw22966]
 regression and obtains Bayesian Inference of the model via the Markov Chain Monte Carlo approach...

osDesign
 Referenced in 6 articles
[sw11936]
 designs. Functions in this packages provides Monte Carlo based evaluation of operating characteristics such ... estimators of the components of a logistic regression model...

qregpd
 Referenced in 1 article
[sw32063]
 estimate generalized quantile regressions using Markov Chain Monte Carlo methods or gridsearch methods...

xtscc
 Referenced in 7 articles
[sw37339]
 leastsquares regression and fixedeffects (within) regression models with Driscoll and Kraay (Review ... standard errors. By running Monte Carlo simulations, I compare the finitesample properties...

bayesQR
 Referenced in 7 articles
[sw11009]
 package bayesQR: Bayesian quantile regression. Bayesian quantile regression using the asymmetric Laplace distribution, both continuous ... calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran...

ASTRODF
 Referenced in 7 articles
[sw26833]
 errors is designed to ensure that Monte Carlo effort within ASTRODF is sensitive ... question of using more complicated models, e.g., regression or stochastic kriging, in combination with adaptive ... iterates achieve the canonical Monte Carlo convergence rate, although a proof remains elusive...

BayesPostEst
 Referenced in 1 article
[sw31515]
 quantities after estimating Bayesian regression models using Markov chain Monte Carlo (MCMC). Functionality includes...

GET
 Referenced in 15 articles
[sw35164]
 envelopes can be used for graphical Monte Carlo and permutation tests where the test statistic ... prediction bands (e.g. confidence band in polynomial regression, Bayesian posterior prediction). See Myllymäki and Mrkvička...