21 citations · 21 across the 8 of their papers we have counts for
8 papers
ANOVATS: A subsampling-based test to detect differences among short time series in marine studies
Yuichi Goto, Hiroko Kato Solvang, Masanobu Taniguchi +1
Assessing marine ecosystems is important for understanding the impacts of climate change and human activity, as well as for maintaining healthy oceans and ecosystems. In marine sci…
Robust Spatio-Temporal Distributional Regression
Tomotaka Momozaki, Shonosuke Sugasawa, Tomoyuki Nakagawa +2
Motivated by investigating spatio-temporal patterns of the distribution of continuous variables, we consider describing the conditional distribution function of the response variab…
Semiparametric Copula Estimation for Spatially Correlated Multivariate Mixed Outcomes: Analyzing Visual Sightings of Fin Whales from a Line Transect Survey
Tomotaka Momozaki, Tomoyuki Nakagawa, Shonosuke Sugasawa +1
For marine biologists, ascertaining the dependence structures between marine species and marine environments, such as sea surface temperature and ocean depth, is imperative for def…
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems
H. Solvang, S. Imori, M. Biuw +2
Understanding and predicting interactions between predators and prey and their environment are fundamental for understanding food web structure, dynamics, and ecosystem function in…
Flagged observation analyses as a tool for scoping and communication in Integrated Ecosystem Assessments
Hiroko Kato Solvang, Per Arneberg
We provide a procedure termed Flagged observation analyses that can be applied to all the available time series to help identifying time series that should be prioritized.The stati…
trec: An R package for trend estimation and classification to support integrated assessment of the marine ecosystem and environmental factors
Hiroko Solvang, Mineaki Ohishi
Solvang and Planque (2020) provided a trend estimation and classification (TREC) approach to estimating dominant common trends among multivariate time series observations. This app…
Dynamic Spatio-temporal Zero-inflated Poisson Models for Predicting Capelin Distribution in the Barents Sea
Shonosuke Sugasawa, Tomoyuki Nakagawa, Hiroko Kato Solvang +2
We consider modeling and prediction of Capelin distribution in the Barents sea based on zero-inflated count observation data that vary continuously over a specified survey region.…
Whole genome resequencing reveals diagnostic markers for investigating global migration and hybridization between minke whale species
Ketil Malde, Bjørghild B. Seliussen, María Quintela +11
Background: In the marine environment, where there are few absolute physical barriers, contemporary contact between previously isolated species can occur across great distances, an…