Dealing With Label Switching in Mixture Models [PDF]
Summary In a Bayesian analysis of finite mixture models, parameter estimation and clustering are sometimes less straightforward than might be expected. In particular, the common practice of estimating parameters by their posterior mean, and summarizing joint posterior distributions by marginal distributions, often leads to nonsensical ...
Matthew Stephens
semanticscholar +5 more sources
Population divergence time estimation using individual lineage label switching [PDF]
Divergence time estimation from multilocus genetic data has become common in population genetics and phylogenetics. We present a new Bayesian inference method that treats the divergence time as a random variable. The divergence time is calculated from an
Peter Beerli+3 more
doaj +2 more sources
The Effect of Food Label Use on Nutrient Intakes: An Endogenous Switching Regression Analysis [PDF]
This study examines the impact of consumers' use of food labels on selected nutrient intakes of Americans. Endogenous switching regression techniques are employed to control for heterogeneity in the label use decision.
Sung-Yong Kim+2 more
doaj +2 more sources
Allocation Variable-Based Probabilistic Algorithm to Deal with Label Switching Problem in Bayesian Mixture Models. [PDF]
The label switching problem occurs as a result of the nonidentifiability of posterior distribution over various permutations of component labels when using Bayesian approach to estimate parameters in mixture models.
Jia-Chiun Pan+3 more
doaj +2 more sources
Summary form only given. The design and implementation of a optical label switched router for packet switched WDM networks will be presented. The algorithms of generating optical labels, look-up tables, routing protocols, and a scaleable network architecture similar to IP/MPLS in optical domain will also be discussed.
Gee Kung Chang
openalex +4 more sources
label.switching: An R Package for Dealing with the Label Switching Problem in MCMC Outputs [PDF]
Label switching is a well-known and fundamental problem in Bayesian estimation of mixture or hidden Markov models. In case that the prior distribution of the model parameters is the same for all states, then both the likelihood and posterior distribution
Panagiotis Papastamoulis
doaj +2 more sources
Fine-Tuning BERT for Multi-Label Sentiment Analysis in Unbalanced Code-Switching Text
Previous research on sentiment analysis mainly focuses on binary or ternary sentiment analysis in monolingual texts. However, in today's social media such as micro-blogs, emotions are often expressed in bilingual or multilingual text called code ...
Tiancheng Tang+2 more
doaj +2 more sources
Improving Label Space Usage for Ethernet Label Switched Paths [PDF]
Ethernet is becoming the dominant aggregation technology for carrier transport networks; however, as it is a LAN technology, native bridged ethernet does not fulfill all the carrier requirements. One of the schemes proposed by the research community to make ethernet fulfill carrier requirements is ethernet VLAN-label switching (ELS).
L. F.+2 more
openalex +4 more sources
Mean-field analysis of multi-population dynamics with label switching [PDF]
The mean-field analysis of a multi-population agent-based model is performed. The model couples a particle dynamics driven by a nonlocal velocity with a Markow-type jump process on the probability that each agent has of belonging to a given population. A
Marco Morandotti, Francesco Solombrino
openalex +3 more sources
Effects of Switching to the Tobacco Heating System 2.2 Menthol, Smoking Abstinence, or Continued Cigarette Smoking on Biomarkers of Exposure: A Randomized, Controlled, Open-Label, Multicenter Study in Sequential Confinement and Ambulatory Settings (Part 1) [PDF]
Introduction The menthol Tobacco Heating System 2.2 (mTHS) is a newly developed candidate modified-risk tobacco product intended to reduce exposure to the harmful and potentially harmful constituents (HPHCs) of conventional cigarette (CC) smoke.
Frank Lüdicke+6 more
openalex +2 more sources