Results 281 to 290 of about 511,753 (356)

Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series

Journal of Time Series Analysis, EarlyView.
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

Investigating brain network dynamics in state-dependent stimulation: A concurrent electroencephalography and transcranial magnetic stimulation study using hidden Markov models.

Brain Stimul
Makkinayeri S, Guidotti R, Basti A, Woolrich MW, Gohil C, Pettorruso M, Ermolova M, Ilmoniemi RJ, Ziemann U, Romani GL, Pizzella V, Marzetti L.   +11 more
europepmc   +1 more source

FlaHMM: unistrand <i>flamenco</i>-like piRNA cluster prediction in <i>Drosophila</i> species using hidden Markov models. [PDF]

NAR Genom Bioinform
Trapotsi MA, van Lopik J, Hannon GJ, Czech Nicholson B, Bornelöv S.   +4 more
europepmc   +1 more source

Automation and Augmentation in Theological Perspective

Modern Theology, EarlyView.
Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
wiley   +1 more source

Hidden Markov Models based intelligent health assessment and fault diagnosis of rolling element bearings. [PDF]

PLoS One
Qifeng Y, Longsheng C, Naeem MT.
europepmc   +1 more source

Optimization of Hidden Markov Model for Density Estimation in Breast Imaging

, 2012
Sylvia Hon
openalex   +1 more source

Predictive processing's flirt with transcendental idealism

Noûs, EarlyView.
Abstract The popular predictive processing (PP) framework posits prediction error minimization (PEM) as the sole mechanism in the brain that can account for all mental phenomena, including consciousness. I first highlight three ambitions associated with major presentations of PP: (1) Completeness (PP aims for a comprehensive account of mental phenomena)
Tobias Schlicht
wiley   +1 more source

Whole genome sequencing of historical specimens from the world's largest fungal collection yields high‐quality assemblies

New Phytologist, EarlyView.
Summary High‐throughput molecular studies of museum specimens (museomics) have great potential in biodiversity research, but fungal historical collections have scarcely been examined, leading to no comprehensive methodological assessments. Here we present a whole genome sequencing (WGS) project conducted at the Fungarium of the Royal Botanic Gardens ...
Torda Varga, Roseina Woods, Frances Pitsillides, Rowena Hill, Alona Yu Biketova, Theo Llewellyn, Brandon J. P. Shaw, Emily Hodgson, Brigid Wong, Jasmine Le, Josepha Becker, Alexander J. Bradshaw, Seth L. E. Blake, Clementine Geeves, Quentin Levicky, Lottie Goodman, Ruben L. Mole, Sidney L. Reed, M. Carly Lin, Emily Read, Keenan Harris, Raquel Pino‐Bodas, László G. Nagy, Anna Bazzicalupo, Ester Gaya   +24 more
wiley   +1 more source

Comparing maximum likelihood and Bayesian methods for fitting hidden Markov models to multi-state capture-recapture data of invasive carp in the Illinois River. [PDF]

Mov Ecol
Labuzzetta CJ, Coulter AA, Erickson RA.
europepmc   +1 more source

Developing a hidden Markov model for assessing the health of preterm babies

, 2006
James Roscoe
openalex   +1 more source