Results 121 to 130 of about 29,392 (243)
Abstract Snowmelt is a dominant hydrologic process in mountainous watersheds and western river systems, yet automatic logging of snowpack properties such as depth, density, and internal energy fluxes, especially during melt, is not done at many Rocky Mountain surface flux sites.
Alexander S. Fox +3 more
wiley +1 more source
Using Hidden Markov Model to Detect Macro-economic Risk Level
In this paper, inspired by Moody’s BET model, a stochastic hidden Markov model is constructed to detect the macro-economic risk states hidden in the corporate default data.
Cheng, Jie, Zhu, Yajing
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Trait coevolution and causal inference using generalized dynamic phylogenetic models
Abstract Phylogenetic comparative methods are widely used to study trait coevolution across biological and cultural domains. The most common methods are phylogenetic generalized linear (mixed) models, phylogenetic path analysis, Pagel's ‘discrete’ method and Ornstein–Uhlenbeck models. While some frameworks like generalized linear mixed models are quite
Erik J. Ringen +3 more
wiley +1 more source
Abstract The genus Merismopedia is morphologically characterized by its distinctive colony arrangement yet exhibits considerable variability among species. Recent studies suggested that Merismopedia is polyphyletic, and its most likely true lineage was provisionally placed within the Microcystaceae. However, the available molecular data for most of the
Jan Pokorný +2 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
Artificially intelligent accompaniment using Hidden Markov Models to model musical structure [PDF]
Background in Music Performance and Accompaniment. Musical accompanists may not always be available during practice, or the available accompanist may not have the technical ability necessary.
Alan Smaill (16064372) +3 more
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Abstract Purpose Cognitive‐behavioural therapy for psychosis (CBTp) achieves small to modest effect sizes, which invites the question, ‘What clinical modifications might improve outcomes?’ This paper proposes an integration of CBTp with a neuropsychoanalytic approach that in clinical practice might extend the gains achieved by CBTp alone.
Michael Garrett
wiley +1 more source
Bayesian nonparametric hidden Markov models with application to the analysis of copy-number-variation in mammalian genomes [PDF]
We consider the development of Bayesian Nonparametric methods for product partition models such as Hidden Markov Models and change point models.
Yau, C. +3 more
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ABSTRACT Alnus glutinosa is one of only three lineages within the order Fagales capable of establishing root nodule symbiosis (RNS). Although a fragmented genome assembly of A. glutinosa was previously available, its limited quality, combined with the lack of comprehensive transcriptomic resources, has constrained in‐depth comparative and functional ...
Zijian Liu +11 more
wiley +1 more source
Hidden Markov random field and FRAME modelling for TCA-image analysis [PDF]
Tooth Cementum Annulation (TCA) is an age estimation method carried out on thin cross sections of the root of human teeth. Age is computed by adding the tooth eruption age to the count of annual incremental lines that are called tooth rings and appear in
Katy Streso, Francesco Lagona
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