Results 201 to 210 of about 71,161 (303)

Generating function: multiple orthogonal polynomials

open access: yesApplied Mathematical Sciences, 2016
W. Carballosa   +3 more
openaire   +2 more sources

Extremism at the center: Uncovering political diversity among midpoint responders on the left–right self‐placement item

open access: yesPolitical Psychology, EarlyView.
Abstract The midpoint of the left‐right self‐placement item is hiding important political diversity, and may be conflating moderate responders with populists and other political sub‐groups. Survey researchers should consider this problem when examining relationships between political orientation and political attitudes.
Edward J. R. Clarke   +6 more
wiley   +1 more source

Determination of the Time-frequency Features for Impulse Components in EEG Signals. [PDF]

open access: yesNeuroinformatics
Filimonova N   +2 more
europepmc   +1 more source

Recent advancements in artificial intelligence‐powered cancer prediction from oral microbiome

open access: yesPeriodontology 2000, EarlyView.
Abstract Oral cancer is a major global health burden, ranking sixth in prevalence, with oral squamous cell carcinoma (OSCC) being the most common type. Importantly, OSCC is often diagnosed at late stages, underscoring the need for innovative methods for early detection.
Negin Soghli   +4 more
wiley   +1 more source

Uniform multiple orthogonal polynomials and Markov chains [PDF]

open access: hybrid
Amílcar Branquinho   +3 more
openalex   +1 more source

Identifying seed fill and health predictors to expand seed‐based restoration of a foundational bunchgrass

open access: yesRestoration Ecology, EarlyView.
Abstract Introduction Seed quality is vital for the success of seed‐based ecological restoration programs. Components like viability, germination, and dormancy often receive the most attention. But other aspects of seed quality, like seed fill and infection, are equally important.
Héctor E. Pérez   +3 more
wiley   +1 more source

Smooth backfitting for additive hazard rates

open access: yesScandinavian Journal of Statistics, EarlyView.
Abstract Smooth backfitting was first introduced in an additive regression setting via a direct projection alternative to the classic backfitting method by Buja, Hastie, and Tibshirani. This paper translates the original smooth backfitting concept to a survival model considering an additively structured hazard.
Stephan M. Bischofberger   +3 more
wiley   +1 more source

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