Rekod bukti kaedah

Slice Sampling

Slice sampling is a Markov chain Monte Carlo (MCMC) algorithm introduced by Radford M. Neal in his 2003 Annals of Statistics paper. It generates samples from a target distribution by drawing uniformly from the region under the density curve — called the 'slice' — without requiring the user to specify a step-size or proposal distribution, making it self-tuning and broadly applicable for Bayesian posterior inference.

Sources recorded, not reviewed

Rekod sumber

Petikan disalin secara verbatim daripada rekod sumber kaedah. Tiada pengesahan peringkat tuntutan disimpulkan daripadanya.

Slice Sampling MCMC

Rekod kaedah taksonomik · bayesian / bayesian

Neal, R. M. (2003). Slice sampling (with discussion). Annals of Statistics, 31(3), 705–767. · DOI 10.1214/aos/1056562461
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. · ISBN 978-1439840955
Robert, C. P., & Casella, G. (2004). Monte Carlo Statistical Methods (2nd ed.). Springer. · ISBN 978-0387212395

Buka kaedah penuh

Tuntutan yang dikurasi

Tuntutan disimpan dalam lejar bukti, setiap satu dengan penilaiannya sendiri.

Tiada tuntutan terkurasi lagi

Pandangan ini tidak mencipta penilaian tuntutan apabila lejar tiada.

Kaedah berkaitan

Dijana daripada graf kaedah dan ditunjukkan sebagai perhubungan yang dicadangkan mesin — tiada tuntutan bukti disimpulkan.

Same method familyBayesian Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyGibbs Samplingmachine-suggested · Relational suggestion, not evidence.Same method familyHamiltonian Monte Carlomachine-suggested · Relational suggestion, not evidence.Same method familyMCMCmachine-suggested · Relational suggestion, not evidence.