Results 251 to 260 of about 259,116 (299)

Large‐Scale Genomics Reveals Three‐Source Ancestry and Layered Adaptation to High Altitude in Tibetan Chickens

Advanced Science, EarlyView.
Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao, Ruixue Nie, Hailu Fan, Tenzin Ngodroup, Li Zhu, Hongbin Pan, Bo Zhang, Hao Zhang   +7 more
wiley   +1 more source

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

Advanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan, Hongming Li, Camille Blaine, Julie Grier, Ethan Hammett, Almaris Figueroa‐Gonzalez, Sarai Garcia, Romain Duprat, Justin Reber, Joseph Deluisi, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan, Desmond J. Oathes   +13 more
wiley   +1 more source

SNaQ.jl: Improved scalability for level-1 phylogenetic network inference. [PDF]

Bioinformatics
Kolbow N, Kong S, Chafin T, Justison J, Ané C, Solís-Lemus C.   +5 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

The Bayesian audit: evaluating the proportionality of scientific claims to evidence - a case study on social priming and walking speed. [PDF]

Front Psychol
Costa T.
europepmc   +1 more source

Site-Specific Structure and Stability Constrained Substitution Models Improve Phylogenetic Inference. [PDF]

Syst Biol
Lorca-Alonso I, Otero-de-Navascues F, Arenas M, Bastolla U.   +3 more
europepmc   +1 more source

Confidence tubes for multiple quantile plots via empirical likelihood.

Einmahl, J.H.J., McKeague, I.W.
core   +1 more source

Empirical likelihood

, 2001
Abstract This chapter introduces empirical likelihood as a non- or semiparametric alternative to classical likelihood inference, where the distributional form of the data is left unspecified. The empirical likelihood treats the shape of the distribution as a nuisance parameter and constructs a likelihood function for a feature of the ...
Owen, Art B
core   +5 more sources

EMPIRICAL LIKELIHOOD FOR GARCH MODELS

Econometric Theory, 2006
Summary: This paper develops an empirical likelihood approach for regular generalized autoregressive conditional heteroskedasticity (GARCH) models and GARCH models with unit roots. For regular GARCH models, it is shown that the log empirical likelihood ratio statistic asymptotically follows a \(\chi^2\) distribution.
Chan, NH, Ling, SQ
openaire   +4 more sources

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Jackknife Empirical Likelihood

Journal of the American Statistical Association, 2009
Empirical likelihood has been found very useful in many different occasions. However, when applied directly to some more complicated statistics such as U-statistics, it runs into serious computational difficulties. In this paper, we introduce a so-called jackknife empirical likelihood (JEL) method. The new method is extremely simple to use in practice.
Bing-Yi Jing
exaly   +4 more sources