Publications related to Latent and observable variables

Assessing the universality of Habitat Suitability Indexes (HSI) for brown trout (Salmo trutta L.) In relation to ecohydraulic variables

Giovanni De Cesare, Paolo Perona, Giulio Calvani, Francesca Padoan

The Habitat Suitability Index (HSI) is a quantitative index that determines the capacity of a given area to meet habitat requirements for a specific species with respect to given variables. The degree of universality of this index is not well understood ye ...

2024

An Ordinal Latent Variable Model of Conflict Intensity

Robert West

Measuring the intensity of events is crucial for monitoring and tracking armed conflict. Advances in automated event extraction have yielded massive data sets of '' who did what to whom '' micro-records that enable datadriven approaches to monitoring confl ...

Assoc Computational Linguistics-Acl2023

Networks with correlated edge processes

Sofia Charlotta Olhede, Mária Süveges

This article proposes methods to model non-stationary temporal graph processes motivated by a hospital interaction data set. This corresponds to modelling the observation of edge variables indicating interactions between pairs of nodes exhibiting dependenc ...

OXFORD UNIV PRESS2023

From Probability Graphical Models to Dynamic Networks — A Bayesian perspective on Smooth Best Estimate of Trajectory with applications in Geodetic Engineering

Laurent Valentin Jospin, Jesse Ray Murray Lahaye

Bayesian statistics is concerned with the integration of new information obtained through observations with prior knowledge, and accordingly, is often related to information theory (Jospin 2022). Recursive Bayesian estimation methods, such as Kalman Filter ...

2023

Comparison of questionnaire items for discomfort glare studies in daylit spaces

Marilyne Andersen, Jan Wienold, Caroline Karmann, Sneha Jain, Geraldine Cai Ting Quek, Clotilde Marie A Pierson

When studying discomfort glare, researchers tend to rely on a single questionnaire item to obtain user evaluations. It is unclear whether the choice of questionnaire item affects the distribution of user responses and leads to inconsistencies between studi ...

2023

Non-intrusive data-driven reduced-order modeling for time-dependent parametrized problems

Jan Sickmann Hesthaven, Junming Duan

Reduced-order models are indispensable for multi-query or real-time problems. However, there are still many challenges to constructing efficient ROMs for time-dependent parametrized problems. Using a linear reduced space is inefficient for time-dependent n ...

San Diego2023

Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France

Camille Roland Marie Minaudo

Elevated nitrate from human activity causes ecosystem and economic harm globally. The factors that control the spatiotemporal dynamics of riverine nitrate concentration remain difficult to describe and predict. We analyzed nitrate concentration from 4450 s ...

SPRINGER2022

Causal modelling of heavy-tailed variables and confounders with application to river flow

Anthony Christopher Davison, Valérie Chavez

Confounding variables are a recurrent challenge for causal discovery and inference. In many situations, complex causal mechanisms only manifest themselves in extreme events, or take simpler forms in the extremes. Stimulated by data on extreme river flows a ...

SPRINGER2022

Hiding in Plain Sight: The Issue of Hidden Variables

Yimon Aye, Mahdi Assari

Here we discuss "hidden variables", which are typically introduced during an experiment as a consequence of the application of two independent variables together to create a stimulus. With increased sophistication in modern chemical biology tools and relat ...

AMER CHEMICAL SOC2022

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Latent and observable variables

Assessing the universality of Habitat Suitability Indexes (HSI) for brown trout (Salmo trutta L.) In relation to ecohydraulic variables

An Ordinal Latent Variable Model of Conflict Intensity

Networks with correlated edge processes

From Probability Graphical Models to Dynamic Networks — A Bayesian perspective on Smooth Best Estimate of Trajectory with applications in Geodetic Engineering

Comparison of questionnaire items for discomfort glare studies in daylit spaces

Non-intrusive data-driven reduced-order modeling for time-dependent parametrized problems

Using Gaming Footage as a Source of Internet Latency Information

Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France

Causal modelling of heavy-tailed variables and confounders with application to river flow

Hiding in Plain Sight: The Issue of Hidden Variables

Graph Chatbot

Chat with Graph Search

An Ordinal Latent Variable Model of Conflict Intensity

Comparison of questionnaire items for discomfort glare studies in daylit spaces

Using Gaming Footage as a Source of Internet Latency Information

Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France

Hiding in Plain Sight: The Issue of Hidden Variables

Causal modelling of heavy-tailed variables and confounders with application to river flow

Non-intrusive data-driven reduced-order modeling for time-dependent parametrized problems

Assessing the universality of Habitat Suitability Indexes (HSI) for brown trout (Salmo trutta L.) In relation to ecohydraulic variables

Networks with correlated edge processes

From Probability Graphical Models to Dynamic Networks — A Bayesian perspective on Smooth Best Estimate of Trajectory with applications in Geodetic Engineering