Results 51 to 60 of about 25,247 (168)

Stable Isotope Analysis as a Tool to Prevent Illicit Wildlife Trade of Songbirds in Brazil

Animal Conservation, EarlyView.
Feather isotopes provide clear differences between wild and captive songbirds in Brazil. Combining multiple isotopes improved classification accuracy and revealed individuals falsely declared as captive‐bred. These results demonstrate the potential of isotope analysis to detect wildlife laundering in the bird trade.
Luiza Brasileiro, Fábio J. V. Costa, Paulo R. R. Ramos, Vladimir E. Costa, Gabriela B. Nardoto   +4 more
wiley   +1 more source

ReMoDe – Recursive modality detection in distributions of ordinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt, Lourens Waldorp, Javier Garcia‐Bernardo, Han van der Maas   +3 more
wiley   +1 more source

Representativeness of the Natura 2000 network for preserving plant biodiversity in the European Union

Conservation Biology, EarlyView.
Abstract The Natura 2000 (N2K) network of protected areas is one of the main tools for area‐based conservation in the European Union (EU), yet its role in preserving plant biodiversity requires better understanding. We examined data kept in the European Vegetation Archive from over 1.2 million vegetation plots and obtained over 14.2 million plant ...
Michele Di Musciano, Piero Zannini, Riccardo Testolin, Francesco Maria Sabatini, Diletta Santovito, Borja Jiménez‐Alfaro, Florian Jansen, Milan Chytrý, Lorenzo Ricci, Emiliano Agrillo, Fabio Attorre, Idoia Biurrun, Gianmaria Bonari, Hans Henrik Bruun, Luigi Cao Pinna, Andraž Čarni, Maria Laura Carranza, Roberto Cazzolla Gatti, Jürgen Dengler, Michele De Sanctis, Úna Fitzpatrick, Anna Rita Frattaroli, Emmanuel Garbolino, Stephan Hennekens, Ute Jandt, Jan Jansen, Zygmunt Kacki, Ilona Knollová, Jonathan Lenoir, Jesper Erenskjold Moeslund, Tomáš Peterka, Nataša Pipenbaher, Duccio Rocchini, Eszter Ruprecht, Solvita Rūsiņa, Urban Šilc, Sonja Škornik, Grzegorz Swacha, Milan Valachovič, Kiril Vassilev, Wolfgang Willner, Alessandro Chiarucci   +41 more
wiley   +1 more source

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

Conservation Biology, EarlyView.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca, Danilo C. Vieira, Juliane C. Carneiro, Renato S. Carreira, Milena Ceccopieri, Thais N. Corbisier, Adriana Galindo Dalto, Alberto G. Figueiredo Jr., Fabiane Gallucci, Paula Gheller, Simone Brito de Jesus, Helena Passeri Lavrado, Letícia Lazzari, Eduardo Hilzendeger Marcon, Daniel Leite Moreira, Rafael Bendayan de Moura, Ellen Pape, Ana Cláudia Aoki Santarosa, João Regis dos Santos Filho, Silvia Helena de Mello e Sousa, Thaisa Marques Vicente, Luciana Erika Yaginuma, Cinthia Yamashita, Wandrey Watanabe   +23 more
wiley   +1 more source

Bayesian Nonparametric Hidden Semi-Markov Models

, 2012
There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for learning from sequential and time-series data.
Johnson, Matthew J., Willsky, Alan S.
core  

How do ecologists estimate occupancy in practice?

Ecography, EarlyView.
Over 20 years ago, ecologists were introduced to the site occupancy model (SOM) for estimating occupancy rates from detection‐nondetection data. In the ensuing decades, the SOM and its hierarchical modeling extensions have become mainstays of quantitative ecology, and estimating occupancy rates has become one of the most common applications of ...
Benjamin R. Goldstein, Abigail G. Keller, Kendall L. Calhoun, Kristin J. Barker, Felipe Montealegre-Mora, Mitchell W. Serota, Amy Van Scoyoc, Phoebe Parker-Shames, Chelsea L. Andreozzi, Perry de Valpine   +9 more
wiley   +1 more source

Markov chain approximation in bootstrapping autoregressions [PDF]

We propose a bootstrap algorithm for autoregressions based on the approximation of the data generating process by a finite state discrete Markov chain.
Andrey Vasnev, Stanislav Anatolyev
core  

Exploring a Subpopulation of MASLD Associated With New Onset of CKD Using Supervised Clustering Techniques

Hepatology Research, EarlyView.
The supervised clustering of metabolic dysfunction‐associated steatotic liver disease (MASLD) using a SHapley Additive exPlanations (SHAP)‐converted matrix reveals distinct subpopulations that improved risk stratification for new onset of chronic kidney disease (CKD).
Itaru Hosaka, Marenao Tanaka, Tatsuya Sato, Yukinori Akiyama, Keitaro Nishizawa, Rie Matsumori, Hiroki Aida, Wataru Kawaharata, Kei Nakata, Koki Abe, Toru Suzuki, Hidemichi Kouzu, Naoya Yama, Nagisa Hanawa, Masato Furuhashi   +14 more
wiley   +1 more source

Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation

International Statistical Review, EarlyView.
Summary M‐quantile (MQ) regression provides a robust and flexible alternative to mixed models for small area estimation. However, several theoretical aspects remain underexplored. In this paper, a parametric bootstrap method is proposed to approximate the distributions of area‐specific MQ coefficients and applied to adjust the bias in the mean squared ...
María Bugallo, Domingo Morales, Nicola Salvati, Francesco Schirripa Spagnolo   +3 more
wiley   +1 more source

An Agnostic Look at Bayesian Statistics and Econometrics [PDF]

Bayesians and non-Bayesians, often called frequentists, seem to be perpetually at logger- heads on fundamental questions of statistical inference. This paper takes as agnostic a stand as is possible for a practising frequentist, and tries to elicit a ...
Russell Davidson
core   +1 more source