Results 121 to 130 of about 24,804 (235)
Estimation of the stationary distribution of a semi-Markov chain
This article is concerned with the estimation of the stationary distribution of a discretetime semi-Markov process. After briefly presenting the discrete-time semi-Markov setting, wepropose an estimator of the associated stationary distribution. The main
Bulla, Jan +2 more
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
A Novel Method for ECG-Free Heart Sound Segmentation in Patients with Severe Aortic Valve Disease
Severe aortic valve diseases (AVD) cause changes in heart sounds, making phonocardiogram (PCG) analyses challenging. This study presents a novel method for segmenting heart sounds without relying on an electrocardiogram (ECG), specifically targeting ...
Elza Abdessater +7 more
doaj +1 more source
Detecting Turning Points with Many Predictors through Hidden Markov Models [PDF]
This paper explores the American business cycle with the Hidden Markov Model (HMM) as a monitoring tool using monthly data. It exhibits ten US time series which offer reliable information to detect recessions in real time.
David Saint-Martin, Benoit Bellone
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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
Hidden Markov and Semi-Hidden Markov Models: an Application to Meteorological Data
openI dati meteorologici presentano una forte componente di variabilità e incertezza, rendendo complessa la loro analisi e la previsione. In questa tesi si indaga l'applicazione dei modelli Hidden Markov (HMM) e Semi-Hidden Markov (HSMM) all’analisi di ...
REMIGIO, FRANCESCA
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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
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
A method for detecting small leaks in gas pipelines based on semi-supervised learning is proposed. The proposed method models the time-varying behavior of signals collected from a flexible acoustic emission (AE) sensor that is attached to a gas pipe to ...
Byungjae Park +3 more
doaj +1 more source
ABSTRACT Neural oscillations are recognized as a fundamental component of brain electromagnetic activity. They are implicated in a wide range of cognitive processes and proposed as a core mechanism for brain communication. Nonetheless, detecting genuine neural oscillations remains a methodological challenge, particularly due to the difficulty of ...
Enrique Stern +2 more
wiley +1 more source

