
GUIHDMR
 Referenced in 23 articles
[sw07924]
 controlled, then a quasirandom sampling method is preferable. This guarantees that the input space ... covered more uniformly than by using random values and it provides a better convergence rate...

copula
 Referenced in 178 articles
[sw14499]
 some more copula families. Methods for density, distribution, random number generation, bivariate dependence measures, perspective ... package ’nacopula’ for nested Archimedean copulas: Efficient sampling algorithms, various estimators, goodnessoffit tests...

BartPy
 Referenced in 99 articles
[sw40584]
 iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior. Effectively, BART ... which uses dimensionally adaptive random basis elements. Motivated by ensemble methods in general, and boosting...

BayesTree
 Referenced in 64 articles
[sw07995]
 BayesTree: Bayesian Methods for Tree Based Models: Implementation of BART: Bayesian Additive Regression Trees ... iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior. Effectively, BART ... which uses dimensionally adaptive random basis elements. Motivated by ensemble methods in general, and boosting...

DGM
 Referenced in 185 articles
[sw39282]
 network is trained on batches of randomly sampled time and space points. The algorithm ... call the algorithm a “Deep Galerkin method (DGM)” since it is similar in spirit...

randtoolbox
 Referenced in 19 articles
[sw07969]
 random’ package, for Latin Hypercube Sampling (a hybrid QMC method), use the ’lhs’ package...

BookIndRandSamplingMethods
 Referenced in 3 articles
[sw34865]
 Independent random sampling methods. This book systematically addresses the design and analysis of efficient techniques ... independent random sampling. Both generalpurpose approaches, which can be used to generate samples from ... into the latest techniques. The theory and methods are illustrated with a varied collection ... book is how to generate independent random samples from an arbitrary probability distribution with...

COSSAN
 Referenced in 10 articles
[sw16555]
 wide field of stochastic methods including various sampling techniques, random fields, fatigue analysis, reliability based ... uncertainties and consequently perform stochastic analyses using methods based on Monte Carlo procedures...

APMC
 Referenced in 29 articles
[sw11483]
 approximation method to verify quantitative properties on discrete Markov chains. We give a randomized algorithm ... high confidence by a probabilistic system. Our randomized algorithm requires only a succinct representation ... based on an execution sampling method. We also present an implementation and a few classical...

Wirtinger Flow
 Referenced in 110 articles
[sw34175]
 knowledge of the phase of these samples would yield a linear system). This paper develops ... initialization obtained by means of a spectral method, and then refines this initial estimate ... information from a nearly minimal number of random measurements. Indeed, the sequence of successive iterates...

mnormt
 Referenced in 18 articles
[sw04564]
 random vectors sampled from these distributions. Probabilities are computed via a nonMonte Carlo method...

QUIC
 Referenced in 34 articles
[sw11795]
 Gaussian Markov Random Field, from very limited samples. We propose a novel algorithm for solving ... contrast to recent stateoftheart methods that largely use first order gradient information...

pSucLys
 Referenced in 31 articles
[sw16643]
 sampling, and (3) constructing an ensemble predictor by fusing a series of individual random forest ... indicated that it remarkably outperformed the existing methods. A userfriendly webserver for pSuc...

getRDS
 Referenced in 6 articles
[sw12595]
 resort to randomness to generate inputs. Then, novel sampling methods were derived from this paradigm ... like for example Refined Descriptive Sampling (RDS). In this paper, we propose a software component ... generator of high quality using the RDS method. It was highly tested by statistical tests ... compared to the well known Mersenne Twister random number generator MT19937 (MT). We noticed that...

dsample
 Referenced in 1 article
[sw26549]
 generation. An efficient Monte Carlo method for random sample generation from high dimensional distributions ... developed. The method is based on random discretization of the sample space and direct inversion...

SPECTRODE
 Referenced in 12 articles
[sw13984]
 limit spectra of sample covariance matrices. Models from random matrix theory (RMT) are increasingly used ... gain insights into the behavior of statistical methods under highdimensional asymptotics. However, the applicability ... multivariate statistics where the data is a sample from a multivariate distribution with a given...

Hyperband
 Referenced in 20 articles
[sw41120]
 samples, or features is allocated to randomly sampled configurations. We introduce a novel algorithm, Hyperband ... compare Hyperband with popular Bayesian optimization methods on a suite of hyperparameter optimization problems...

BayesEstDiffusion.jl
 Referenced in 10 articles
[sw40280]
 with using a Markovchain MonteCarlo method known as dataaugmentation. If unknown parameters ... reducible. Furthermore, dataaugmentation requires efficient sampling of diffusion bridges, which can be difficult, especially ... randomwalk type MetropolisHastings sampler for updating diffusion bridges. Our methods are illustrated using ... guided proposals for sampling diffusion bridges. These are Markov processes obtained by adding a guiding...

DeepLab
 Referenced in 39 articles
[sw15303]
 convolutional feature layer with filters at multiple sampling rates and effective fieldsofviews, thus ... localization of object boundaries by combining methods from DCNNs and probabilistic graphical models. The commonly ... DCNN layer with a fully connected Conditional Random Field (CRF), which is shown both qualitatively...

iRSpotPseDNC
 Referenced in 65 articles
[sw22437]
 combinations of genetic variations. Rather than randomly occurring across a genome, meiotic recombination takes place ... highly desired to develop automated methods for rapidly and effectively identifying the recombination regions ... coldspots. In the new predictor, the samples of DNA sequences are formulated by a novel...