Results 241 to 250 of about 436,673 (317)

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

A leptin-based Bayesian inference of a pro-satiety state reflects a basal circadian rhythm in women with obesity. [PDF]

Front Endocrinol (Lausanne)
Xiang Q, Khazaei S, Faghih RT.
europepmc   +1 more source

Optimal Dose and Safety of Intravenous Favipiravir in Hospitalized Patients With COVID‐19: A Dose‐Escalating, Randomized Controlled Phase Ib Study

Clinical Pharmacology &Therapeutics, EarlyView.
AGILE (NCT04746183) is a Phase Ib/IIa platform, evaluating candidates to treat COVID‐19. Candidate Specific Trial 6 evaluated the safety and optimal dose of a novel intravenous formulation of favipiravir in a dose‐escalating, open‐label, randomized, controlled, Bayesian adaptive Phase Ib trial.
Tim Rowland, Richard FitzGerald, Elizabeth Challenger, Laura Dickinson, Laura J. Else, Lauren Walker, Colin Hale, Victoria Shaw, Callum Kelly, Rebecca Lyon, Jennifer Gibney, Karim Dhamani, Margaret Irwin, Yvanne Enever, Michelle Tetlow, William Wood, Helen Reynolds, Justin Chiong, Orod Osanlou, Henry Pertinez, Katie Bullock, William Greenhalf, Andrew Owen, David G. Lalloo, Michael Jacobs, Julian A. Hiscox, Thomas Jaki, Pavel Mozgunov, Geoffrey Saunders, Gareth Griffiths, Saye H. Khoo, Thomas E. Fletcher, on behalf of the AGILE CST‐6 Study Group, Shazaad Ahmad, Christopher J. Edwards, Lesley Dry, Georgie McKenzie, Aleksandra Ros, Michael Stackpoole, Laura Bradley, Karen Jennings‐Wilding, Nicholas Paton, Fred Hayden, Janet Darbyshire, Amy Lucas, Ulrika Lorch, Andrew Freedman, Richard Knight, Steven Julious   +48 more
wiley   +1 more source

BayesFlow 2.0: Multi-Backend Amortized Bayesian Inference in Python

Lars Kühmichel, Jerry Huang, Valentin Pratz, Jonas Arruda, Hans Olischläger, Daniel Habermann, Šimon Kucharský, Lasse Elsemüller, Aayush Mishra, Niels Bracher, Svenja Jedhoff, Marvin Schmitt, Paul-Christian Bürkner, Stefan T. Radev   +13 more
openalex   +1 more source

Map-matching for pedestrians via Bayesian inference [PDF]

, 2006
Ivan Spassov, Michel Bierlaire, Bertrand Merminod   +2 more
openalex  

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

Bayesian Inference of Pathogen Phylogeography using the Structured Coalescent Model. [PDF]

PLoS Comput Biol
Roberts I, Everitt RG, Koskela J, Didelot X.   +3 more
europepmc   +1 more source

Environmental, Social, and Governance (ESG) Performance and Equity Misvaluation: The Moderating Role of Country‐Level Factors

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study explores how corporate environmental, social, and governance (ESG) performance affects equity misvaluation and how country‐level factors—national culture, environmental performance indicators, and world governance indicators (WGIs)—moderate the relationship between corporate ESG performance and misvaluation.
Xinyu Wang, Jun Xie, Hidemichi Fujii, Alexander Ryota Keeley, Shunsuke Managi   +4 more
wiley   +1 more source

Bayesian inference for generalized linear models via quasi-posteriors. [PDF]

Biometrika
Agnoletto D, Rigon T, Dunson DB.
europepmc   +1 more source

Product‐Related CSR in the Digital Era: Communication Patterns That Drive Consumer Interactions on Social Media

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT To meet rising sustainability demands, companies increasingly use social media to communicate product‐related CSR initiatives. Consumers' interactions with these messages largely depend on the messages' perceived credibility. However, there remains limited understanding of how firms combine communication characteristics into distinct patterns ...
Judith Derenthal, Waldemar Toporowski
wiley   +1 more source