Immunogenicity dynamics and covariate effects after satralizumab administration predicted with a hidden Markov model. [PDF]
Leisegang R +6 more
europepmc +1 more source
Phylogenomics of the American robin (Turdus migratorius) reveals hidden lineages and introgression
Phylogenomic analyses of Turdus migratorius uncover four previously unrecognized lineages, including a divergent Baja California lineage (T. m. confinis). The results reveal complex evolutionary relationships that depart from simple models of continuous divergence, supported by evidence of introgression between the Mexican lineage and its previously ...
Wendoly Rojas‐Abreu +5 more
wiley +1 more source
A perspective on automated rapid eye movement sleep assessment
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley +1 more source
Single-Channel Sleep EEG Classification Method Based on LSTM and Hidden Markov Model. [PDF]
Chen W, Cai Y, Li A, Su Y, Jiang K.
europepmc +1 more source
Testing for Unspecified Periodicities in Binary Time Series
ABSTRACT Given random variables Y1,…,Yn$$ {Y}_1,\dots, {Y}_n $$ with Yi∈{0,1}$$ {Y}_i\in \left\{0,1\right\} $$ we test the hypothesis whether the underlying success probabilities pi$$ {p}_i $$ are constant or whether they are periodic with an unspecified period length of r≥2$$ r\ge 2 $$.
Finn Schmidtke, Mathias Vetter
wiley +1 more source
A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms. [PDF]
McDonald A, Gales MJF, Agarwal A.
europepmc +1 more source
Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series
ABSTRACT We consider the problem of detecting deviations from a white noise assumption in time series. Our approach differs from the numerous methods proposed for this purpose with respect to two aspects. First, we allow for non‐stationary time series. Second, we address the problem that a white noise test is usually not performed because one believes ...
Patrick Bastian
wiley +1 more source
Hidden Markov model-based similarity measure (HMM-SM) for gait quality assessment of lower-limb prosthetic users using inertial sensor signals. [PDF]
Ng G, Andrysek J.
europepmc +1 more source
Multiple Chains Markov Switching Vector Autoregression
ABSTRACT Both the U.S. stock and bond returns exhibit distinct Markovian regimes. However, because these regimes display limited coherence, conventional models typically require highly parameterized systems to adequately capture their joint distribution.
Leopoldo Catania
wiley +1 more source
Place Recognition through Multiple LiDAR Scans Based on the Hidden Markov Model. [PDF]
Gui L, Zeng C, Luo J, Yang X.
europepmc +1 more source

