A folded model for compositional data analysis
A folded type model is developed for analyzing compositional data. The proposed model involves an extension of the $\alpha$-transformation for compositional data and provides a new and flexible class of distributions for modeling data defined on the simplex sample space. Despite its rather seemingly complex structure, employment of the EM algorithm guarantees efficient parameter estimation. The model is validated through simulation studies and examples which illustrate that the proposed model performs better in terms of capturing the data structure, when compared to the popular logistic normal distribution, and can be advantageous over a similar model without folding.
Code (0)
등록된 구현이 없습니다.
Tasks
modelparameter estimationSimilar Papers 제목 키워드 기반
STaD: Scaffolded Task Design for Identifying Compositional Skill Gaps in LLMs
Benchmarks are often used as a standard to understand LLM capabilities in different domains. However, aggregate benchmark scores provide limited insight into compositional skill gaps of LLMs and how to improve them. To m…
Developmentally motivated emergence of compositional communication via template transfer
This paper explores a novel approach to achieving emergent compositional communication in multi-agent systems. We propose a training regime implementing template transfer, the idea of carrying over learned biases across …
Zero-shot GeneralizationCMAG: Concept-Scaffolded Retrieval for Marketplace Avatar Generation
Metaverse platforms rely on creator-driven marketplaces where avatars are assembled from discrete, taxonomy-labeled 3D assets (e.g., tops, bottoms, shoes, accessories) under strict category and topology constraints. Whil…
CoCoDA: Co-evolving Compositional DAG for Tool-Augmented Agents
Tool-augmented language models can extend small language models with external executable skills, but scaling the tool library creates a coupled challenge: the library must evolve with the planner as new reusable subrouti…
Mathematical ReasoningStructural Controllability to Unveil Hidden Regulation Mechanisms in Unfolded Protein Response: the Role of Network Models
The Unfolded Protein Response is the cell mechanism for maintaining the balance of properly folded proteins in the endoplasmic reticulum , the specialized cellular compartment. Although it is largely studied from a biolo…