Results 201 to 210 of about 43,983 (273)

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

Variational adaptive Gaussian approximation filter for nonlinear systems with generalized unknown disturbances. [PDF]

iScience
Qin Y, Lv J, Li S, Hou Y.
europepmc   +1 more source

Non‐negative Gaussian estimation of variance components in random effects models

Canadian Journal of Statistics, EarlyView.
Abstract When used to estimate variance components (VCs), confidence intervals (CIs) can be truncated at zero, have a point estimate not in the quoted CI, be empty with positive probability, or be all‐inclusive. This is because they have conflicting dual roles, since they are considered to cover the parameter with a specified probability while also ...
André Plante, Michael Plante
wiley   +1 more source

Decision-Making in Repeated Games: Insights from Active Inference. [PDF]

Behav Sci (Basel)
Yuan H, Wang L, Gao W, Tao T, Fan C.
europepmc   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

A prior-sampling conditional variational autoencoder for neuroimaging normative modelling: Benchmarking deep learning against statistical approaches. [PDF]

Imaging Neurosci (Camb)
Ho MP, Song Y, Sachdev PS, Fan L, Jiang J, Wen W.   +5 more
europepmc   +1 more source

Clinical Model‐Informed Precision Dosing Consult Service for Accelerating Personalized Medication in Pediatric Patients

Clinical Pharmacology &Therapeutics, EarlyView.
Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor, Takanobu Nadai, Kei Irie, Wen Rui Tan, Sanjana Parikh, Anhar Hosawi, Matthijs W. van Hoogdalem, Ronaldo Morales Junior, Sonya Tang Girdwood, Abbie D. Leino, Kana Mizuno, Alexander A. Vinks, Tomoyuki Mizuno   +12 more
wiley   +1 more source

Disease progression modeling of Alzheimer's disease based on variational probability principal component analysis. [PDF]

PLoS One
Xiong X, Wang X, Zhu C, He J, Alzheimer’s Disease Neuroimaging Initiative.   +4 more
europepmc   +1 more source

Landscape of Research on Accounting Scope 3 Emissions: A Review of Methodologies and Data

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Scope 3 emissions have been proposed as a critical metric for evaluating corporate carbon footprint, identifying emission sources, and developing mitigation solutions. Yet, widespread corporate reporting of Scope 3 emissions remains limited, highlighting a critical gap in both research and practice.
Zeyu Wang, Klaus Hubacek, Xin Sun, Franco Ruzzenenti   +3 more
wiley   +1 more source

Computational parametric mapping of functional neuroimaging data. [PDF]

Imaging Neurosci (Camb)
Steinkamp SR, Chaker I, Hubert F, Meder D, Hulme OJ.   +4 more
europepmc   +1 more source