Results 121 to 130 of about 14,044 (266)

Behavioural state identification from ultra‐high‐frequency movement data

Methods in Ecology and Evolution, EarlyView.
Abstract The hidden Markov model (HMM) is a central framework for identifying behavioural state changes from animal movement data. In this context, movement is typically represented as a sequence of observed metrics, such as step length and turning angle distributions, generated by an unobserved behavioural state process.
Abdulmajeed F. Alharbi, Paul G. Blackwell, James Redcliffe, Luca Börger, Jonathan R. Potts   +4 more
wiley   +1 more source

Using GAM functions and Markov-Switching models in an evaluation framework to assess countries' performance in controlling the COVID-19 pandemic. [PDF]

BMC Public Health, 2021
de Oliveira AMB, Binner JM, Mandal A, Kelly L, Power GJ.   +4 more
europepmc   +1 more source

Flexible unimodal density estimation in hidden Markov models

Methods in Ecology and Evolution, EarlyView.
Abstract Hidden Markov models (HMMs) are powerful tools for modelling time‐series data with underlying state structure. However, selecting appropriate parametric forms for the state‐dependent distributions is often challenging and can lead to model misspecification.
Jan‐Ole Fischer, Fanny Dupont, Marie Auger‐Méthé, Marianne Marcoux, Nigel E. Hussey, Nancy E. Heckman   +5 more
wiley   +1 more source

Harvesting benefits: Exploring the effects of second‐best policies on enhancing soil organic carbon stocks in agriculture

American Journal of Agricultural Economics, EarlyView.
Abstract Agricultural subsidies can be an effective policy tool to enhance soil organic carbon sequestration. This paper assesses the effectiveness of a second‐best hypothetical policy which subsidizes additional canola hectares optimally for each soil zone in Saskatchewan in an effort to increase soil organic carbon.
Devin A. Serfas
wiley   +1 more source

Predicting the incidence of brucellosis in Western Iran using Markov switching model. [PDF]

BMC Res Notes, 2021
Mohammadian-Khoshnoud M, Sadeghifar M, Cheraghi Z, Hosseinkhani Z.   +3 more
europepmc   +1 more source

Endogenous coalition formation in policy debates

American Journal of Political Science, EarlyView.
Abstract Political actors form coalitions around their joint normative beliefs in order to influence the policy process on contentious issues such as climate change or population aging. Policy process theory maintains that learning within and across coalitions is a central predictor of policy change but has yet to explain how policy learning works ...
Philip Leifeld, Laurence Brandenberger
wiley   +1 more source

The natural history of periodontal disease—Part 2: In populations with access to dental care: The Studies of Health in Pomerania (SHIP)

Periodontology 2000, EarlyView., 2023
Abstract In this descriptive analysis of the 21‐year follow‐up data from the SHIP‐START cohort and the 7‐year follow‐up data from the SHIP‐TREND cohort, we report the progression of clinical attachment levels (CAL), age effects on CAL change, and a detailed description of CAL progression and remission. At baseline, 4307 and 4420 persons participated in
Thomas Kocher, Peter Meisel, Reiner Biffar, Henry Völzke, Birte Holtfreter   +4 more
wiley   +1 more source

Emotional and motivational experiences in teacher–student relationships and psychological need satisfaction during adolescence: A latent profile and latent transition analysis

British Journal of Educational Psychology, EarlyView.
Abstract Background Emotional and motivational aspects of teacher–student relationships are central to adolescents' psychological need satisfaction and academic development. However, few longitudinal studies examine how these relational experiences evolve during adolescence or co‐occur with emotional‐motivational functioning.
Fabian Schimmelpfennig, Diana Raufelder
wiley   +1 more source

Local Search and the Evolution of World Models

Topics in Cognitive Science, EarlyView., 2023
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley, Bonan Zhao, Tadeg Quillien, Christopher G. Lucas   +3 more
wiley   +1 more source

Markov switching multiple-equation tensor regressions

Journal of Multivariate Analysis
We propose a new flexible tensor model for multiple-equation regression that accounts for latent regime changes. The model allows for dynamic coefficients and multi-dimensional covariates that vary across equations. We assume the coefficients are driven by a common hidden Markov process that addresses structural breaks to enhance the model flexibility ...
Casarin, Roberto, Craiu, Radu V., Wang, Qing   +2 more
openaire   +2 more sources