Results 121 to 130 of about 8,159 (239)
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
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
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
Multi-State Models for Panel Data: The msm Package for R
Panel data are observations of a continuous-time process at arbitrary times, for example, visits to a hospital to diagnose disease status. Multi-state models for such data are generally based on the Markov assumption.
Christopher Jackson
core
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
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
Hierarchical Multi-channel Hidden Semi Markov Models ∗
Many interesting human actions involve multiple interacting agents and also have typical durations. Further, there is an inherent hierarchical organization of these activities.
core
Recent development of the HMM-based speech synthesis system (HTS) [PDF]
A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown in popularity over the last few years. In this approach, spectrum, excitation, and duration of speech are simultaneously modeled by context-dependent ...
Tokuda, Keiichi +9 more
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Large scale hidden semi-Markov SVMs
We describe Hidden Semi-Markov Support Vector Machines (SHM SVMs), an extension of HM SVMs to semi-Markov chains. This allows us to predict segmentations of sequences based on segment-based features measuring properties such as the length of the segment.
Sonnenburg, S., Rätsch, G.
core
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

