Using fusion effects to decrease uncertainty in distance sampling models when collating data from different surveys
Estimates of population abundance are required to study the impacts of human activities on
populations and assess their conservation status. Despite considerable effort to improve …
populations and assess their conservation status. Despite considerable effort to improve …
A Bayesian cluster validity index
N Wiroonsri, O Preedasawakul - arXiv preprint arXiv:2402.02162, 2024 - arxiv.org
Selecting the number of clusters is one of the key processes when applying clustering
algorithms. To fulfill this task, various cluster validity indices (CVIs) have been introduced …
algorithms. To fulfill this task, various cluster validity indices (CVIs) have been introduced …
BOB: Bayesian Optimized Bootstrap with Applications to Gaussian Mixture Models
S Marin, B Loong, A Westveld - arXiv preprint arXiv:2311.03644, 2023 - arxiv.org
Sampling from the joint posterior distribution of Gaussian mixture models (GMMs) via
standard Markov chain Monte Carlo (MCMC) imposes several computational challenges …
standard Markov chain Monte Carlo (MCMC) imposes several computational challenges …
Similarity-based Random Partition Distribution for Clustering Functional Data
T Wakayama, S Sugasawa, G Kobayashi - arXiv preprint arXiv …, 2023 - arxiv.org
Random partitioned distribution is a powerful tool for model-based clustering. However, the
implementation in practice can be challenging for functional spatial data such as hourly …
implementation in practice can be challenging for functional spatial data such as hourly …