Keyword

sampling algorithms

Description: Computational procedures for generating samples from probability distributions, used in statistics, machine learning, physics, and cryptography.

Primary topic: Markov Chains and Monte Carlo Methods (23%)

OpenAlex ID: keywords/sampling-algorithms

Monte Carlo Statistical Methods

2004 · Christian P. Robert, George Casella · Springer texts in statistics · 4,477

Monte Carlo Strategies in Scientific Computing

2004 · Jun S. Liu · Springer series in statistics · 2,733

Development of the Radiocarbon Calibration Program

2001 · Christopher Bronk Ramsey · Radiocarbon · 2,022

PDF

Random sampling with a reservoir

1985 · Jeffrey S. Vitter · ACM Transactions on Mathematical Software · 1,762

PDF

Integrated photonic quantum technologies

2019 · Jianwei Wang, Fabio Sciarrino, et al. · Nature Photonics · 1,572

PDF

Reducing bias and inefficiency in the selection algorithm

1987 · James E. Baker · international conference on Genetic algorithms · 1,421

Random Walks on Graphs: A Survey

2001 · László Lovász · 1,379

Explaining the Gibbs Sampler

1992 · George Casella, Edward I. George · The American Statistician · 863

Relative Binding Free Energy Calculations in Drug Discovery: Recent Advances and Practical Considerations

2017 · Zoe Cournia, Bryce Allen, et al. · Journal of Chemical Information and Modeling · 790

PDF

Representation of electromagnetic fields over arbitrary surfaces by a finite and nonredundant number of samples

1998 · O.M. Bucci, C. Gennarelli, et al. · IEEE Transactions on Antennas and Propagation · 567

Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine

2013 · Eike Christian Brechmann, Ulf Schepsmeier · Journal of Statistical Software · 499

Determinantal Point Processes for Machine Learning

2012 · Alex Kulesza · now publishers, Inc. eBooks · 493

Generating random spanning trees more quickly than the cover time

1996 · David Bruce Wilson · ACM Symposium on Theory of Computing (STOC) · 490

PDF

A Comparative Study of Several Dynamic Time-Warping Algorithms for Connected-Word Recognition

1981 · C. S. Myers, L. R. Rabiner · Bell System Technical Journal · 415

Training set optimization under population structure in genomic selection

2014 · Julio Isidro, Jean-Luc Jannink, et al. · Theoretical and Applied Genetics · 381

PDF

Fast Sampling of Gaussian Markov Random Fields

2001 · Håvard Rue · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 363

PDF

i-PI 2.0: A universal force engine for advanced molecular simulations

2018 · Venkat Kapil, Mariana Rossi, et al. · Computer Physics Communications · 357

PDF

Weighted random sampling with a reservoir

2005 · Pavlos S. Efraimidis, Paul G. Spirakis · Information Processing Letters · 353

OBJ CUT

2005 · M.P. Kumar, P.H.S. Torr, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 327

Markov chain concepts related to sampling algorithms

1995 · W.R. Gilks, S. Richardson, et al. · Chapman & Hall/CRC eBooks · 311

On random sampling over joins

1999 · Surajit Chaudhuri, Rajeev Motwani, et al. · ACM SIGMOD Record · 309

PDF

Improved Distributed Hypercube Sampling

2002 · Brian Beachkofski, Ramana Grandhi · AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (SDM) · 292

A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data

2011 · Christian Robert, George Casella · Statistical Science · 275

PDF

A Latent Dirichlet Model for Unsupervised Entity Resolution

2006 · Indrajit Bhattacharya, Lise Getoor · SIAM International Conference on Data Mining · 268