Relative Entropy Rate between a Markov Chain and Its Corresponding Hidden Markov Chain
Journal of Statistical Research of Iran, 2011 In this paper we study the relative entropy rate between a homo- geneous Markov chain and a hidden Markov chain defined by observing the output of a discrete stochastic channel whose input is the finite state space homogeneous stationary Markov chain. For this purpose, we obtain the rela- tive entropy between two finite subsequences of above mentioned ...
H. Yari, Z. Nikooravesh
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Theory and inference for a Markov switching GARCH model [PDF]
We develop a Markov-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process to another. The switching is governed by a hidden Markov chain. We provide sufficient conditions for geometric ergodicity
BAUWENS, Luc +2 more
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Statistical Inference for Partially Observed Markov Processes via the R Package pomp
Journal of Statistical Software, 2016 Partially observed Markov process (POMP) models, also known as hidden Markov models or state space models, are ubiquitous tools for time series analysis.
Aaron A. King +2 more
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Journal of Animal Ecology, EarlyView.We provide a framework for extending commonly used integrated population models to a metapopulation framework for testing novel ecological hypotheses about how changing environmental conditions within and among subpopulations drive changes in animal abundance.
Alexander R. Schindler +5 more
wiley +1 more source
Radiometric Constraints on the Timing, Tempo, and Effects of Large Igneous Province Emplacement
Geophysical Monograph Series, Page 27-82., 2021 Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Jennifer Kasbohm +2 more
wiley +1 more source
Methods in Ecology and EvolutionPassive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual ...
Edward Lavender +3 more
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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
Insect Science, EarlyView.Abstract Bactrocera tryoni, the Queensland fruit fly, is among the most damaging insect pests to the Australian horticultural industry as larvae infest ripening fruits or vegetables prior to harvest. Genetic biocontrol using Sterile Insect Technique (SIT) programs have been used to successfully suppress populations, via mass release of factory‐reared ...
Anzu Okada +7 more
wiley +1 more source
Chromosome‐scale genome assembly of the South American fruit fly, Anastrepha fraterculus sp.1
Insect Science, EarlyView.Anastrepha fraterculus sp. 1 is a major fruit fly pest in Argentina, currently controlled through chemical treatments and traps. This study aims to enhance the genomic understanding of this species to support the development of sterile insect technique as well as the use of innovative technologies.
Máximo Rivarola +15 more
wiley +1 more source
Urban Travel Chain Estimation Based on Combination of CHMM and LDA Model
IET Intelligent Transport SystemsUnderstanding travel patterns and predicting travel destinations has gained significant attention in the field of transportation research. This study proposes a methodology that utilizes continuous hidden Markov models (CHMMs) to estimate activity ...
Chenxi Xiao +3 more
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