Results 91 to 100 of about 14,908,682 (295)
From patterns to predictions: a framework for the spatial epidemiology of wildlife diseases
Ecography, EarlyView.Wildlife diseases pose a significant threat to biodiversity conservation, public health, and livestock. Spatial epidemiology provides a robust framework to understand disease dynamics and guide policy and management. However, the rapid proliferation of spatial methods has largely occurred in isolation across disciplines, leaving the field without a ...
Cesar Herraiz, Pelayo Acevedo
wiley +1 more source
Kajian Model Hidden Markov untuk Menduga Volatilitas Indeks Harga Saham
, 2013 Volatility is a measure of uncertainty, which is useful for investor to plan a good investment strategy. The problem is that volatility is unobservable, and estimating volatility is not a trivial task.
Baist, Abdul
core
Predicting connectivity from movement trajectories and step selection
Ecography, EarlyView.Predicting and mapping connectivity are essential for ecology and conservation in the face of environmental change. Yet connectivity modeling is challenging because it requires understanding how organisms successfully move across complex landscapes.
Robert J. Fletcher Jr +8 more
wiley +1 more source
Hidden Semi Markov Models for Multiple Observation Sequences: The mhsmm Package for R [PDF]
This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of interest when observed data is thought to be dependent on some
Søren Højsgaard, Jared O'Connell
core
Energy‐Flow Regimes and Their Temporal Transitions in a PV‐Building System
Energy Science &Engineering, EarlyView.Unlike production and consumption, which act as external factors, generated energy flows reflect the system's internal behavior regarding energy allocation at each time step. The combination of self‐consumption, surplus, and import of surplus energy into the power grid characterizes how electricity is routed between the building's local consumption and
Jacek Caban +3 more
wiley +1 more source
Journal of Forecasting, EarlyView.ABSTRACT This study evaluates whether the relative performance of gross domestic product forecasting models is temporally robust across economies and changing macroeconomic conditions. Using annual real gross domestic product data from the World Bank for 177 separately reported economies and territories, we conduct a common‐vintage pseudo‐out‐of‐sample
Achilleas Tampouris, Chaido Dritsaki
wiley +1 more source
Estimating Components in Finite Mixtures and Hidden Markov Models [PDF]
When the unobservable Markov chain in a hidden Markov model is stationary the marginal distribution of the observations is a finite mixture with the number of terms equal to the number of the states of the Markov chain.
D.S. Poskitt, Jing Zhang
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Tuberculosis Surveillance Using a Hidden Markov Model [PDF]
Iranian Journal of Public Health, 2012 Background: Routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence.
A Rafei, E Pasha, R Jamshidi Orak
doaj +1 more source
Bayesian Multivariate Two‐Stage Volatility‐Return Models (MTS‐VR)
Journal of Forecasting, EarlyView.ABSTRACT This paper develops a class of models to capture the joint dynamics of asset returns and multivariate volatility. Owing to its two‐stage construction, this class is referred to as the multivariate two‐stage volatility‐return (MTS‐VR) model.
Zhenglyu Huang +2 more
wiley +1 more source
Disease surveillance using a hidden Markov model
BMC Medical Informatics and Decision Making, 2009 Background Routine surveillance of disease notification data can enable the early detection of localised disease outbreaks. Although hidden Markov models (HMMs) have been recognised as an appropriate method to model disease surveillance data, they have ...
Wright Graeme +4 more
doaj +1 more source