Results 121 to 130 of about 60,493 (305)
This study used camera trap data from 6 years between 2016 and 2021 and generalized linear mixed models to explore the factors that influence the spatial density distribution of lynx and its prey populations in warm and cold seasons in Inner Mongolia Hanma National Nature Reserve, China.
Wentao Zhang +11 more
wiley +1 more source
Diagram recognition using hidden Markov models
User input interfaces are quickly become more natural and intuative, relying less and less on the traditional mouse and keyboard interface, and moving towards a pen based input system.
Wardhani, Aster W., Henry, David W.
core
Fiscal Policy Regimes in Resource‐Rich Economies
ABSTRACT We analyse fiscal policy in resource‐rich economies using a novel Bayesian regime‐switching panel model. The identified regimes capture pro‐ or countercyclical fiscal behaviour by allowing regime‐specific shifts in the average fiscal stance, while the switches between the regimes have the interpretation of changes in fiscal policy.
Hilde C. Bjørnland +3 more
wiley +1 more source
State-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models.
Bez, Nicolas +8 more
doaj +1 more source
Propositionalisation of multiple sequence alignments using probabilistic models
Multiple sequence alignments play a central role in Bioinformatics. Most alignment representations are designed to facilitate knowledge extraction by human experts.
Mutter, Stefan +2 more
core
We describe pair hidden Markov models, with an emphasis on their relationship to evolutionary models and hidden Markov models. We then explain the statistical interpretation of alignment with pair hidden Markov models, and highlight connections to the ...
Alexandersson, Marina +6 more
core +1 more source
Behavioral responses of black bears to human presence and infrastructure in Yosemite National Park
Using GPS collar data from black bears in Yosemite National Park, we examined how bear spatiotemporal activity in relation to human development shifted during the COVID‐19 park closure in 2020. In the absence of visitors, bears maintained consistent landscape‐scale space use but altered fine‐scale spatial and temporal behaviors.
Jennifer R. Green +9 more
wiley +1 more source
Application of Hidden Markov Models and Hidden Semi-Markov Models to Financial Time Series
Hidden Markov Models (HMMs) and Hidden Semi-Markov Models (HSMMs) provide flexible, general-purpose models for univariate and multivariate time series.
Bulla, Jan
core
Modeling Pipeline Driving Behaviors: A Hidden Markov Model Approach [PDF]
Driving behaviors at intersection are complex because drivers have to perceive more traffic events than normal road driving and thus are exposed to more errors with safety consequences. Drivers make real-time responsesin a stochastic manner.
Xi Zou, David Levinson
core

