Results 191 to 200 of about 1,294,144 (288)

Applying Bayes' Theorem [PDF]

, 2007
Duncan, David R., Litwiller, Bonnie H.
core  

UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions

Journal of Forecasting, Volume 45, Issue 3, Page 977-996, April 2026.
ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley   +1 more source

MERRA2_CNN_HAQAST_PM25: Hourly Bias‐Corrected PM2.5 Datasets for Global Air Quality Assessment

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
The study introduces a new hourly global PM2.5 dataset combining MERRA‐2 reanalysis with CNN techniques. It addresses global air quality data gaps using AI and atmospheric science, providing valuable insights for health, environmental monitoring and climate research applications for diverse stakeholders.
Pawan Gupta, Alqamah Sayeed
wiley   +1 more source

A Machine Learning‐Based Model for Individualized Prediction of Vancomycin Concentration‐Time Curves in ICU Patients

Pharmacology Research &Perspectives, Volume 14, Issue 2, April 2026.
A machine learning–integrated pharmacokinetic model improves individualized prediction of vancomycin concentration–time profiles in ICU patients and outperforms traditional pharmacokinetic models, providing a practical decision‐support tool for precision dosing.
Jing‐Yi Wang, Jiang Hu, Yan Chen, Shan Li, Jin‐Min Peng, Run Dong, Xiao‐Yun Hu, Wei Jiang, Chun‐Yao Wang, Li Weng, Bin Du, the China Critical Care Clinical Trials Group (CCCCTG)   +11 more
wiley   +1 more source

Bayes’s theorem

Citation: 'Bayes’s theorem' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11412 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

Using Automated Psychological Tools for Understanding and Improving Mental Health Outcomes in Aotearoa

Journal of the Royal Society of New Zealand, Volume 56, Issue 2, April 2026.
Aotearoa New Zealand has one of the highest rates of anxiety and depression globally, with Māori and Pacific groups carrying the greatest burden. We need to better understand the driving factors to improve the availability and flexibility of our treatment pathways.
Olivia K. Harrison, Kelis Tosala (Ngāti Manawa, Tūhoe, Ngāti Maniapoto, Te Rarawa; Ngāti Awa), Char’lee A. D. Jones (Ngāi Takoto, Ngāti Kahu, Ngāti Kurī, Te Aupōuri), Rebekah Kennedy, Alireza F. Nia, Gonzalo D. Maso Talou, Cassandra Dawson, Martin Sellbom, Esther Willing (Ngāti Toarangatira, Ngāti Koata, Ngā Ruahine), Ella McLeod, Dirk Johannßen, Merata Kawharu (Ngāti Whātua, Ngāpuhi), Stephanie Schoss, Amanda Clifford (Waitaha, Kāi Tahu, Kāti Māmoe)   +24 more
wiley   +1 more source

Plate tectonics in the microscopy realm: Molecular insights into morphological variability of Peridinium willei (Peridiniales, Dinophyceae)

TAXON, Volume 75, Issue 2, April 2026.
Abstract Freshwater Peridinium willei (Peridiniaceae) is globally distributed, but reports linking its morphologies with DNA sequence data remain scarce. The taxonomy of the species, and its infraspecific taxa, remain ambiguous due to the lack of DNA sequence data for the original and type material.
Arwin Ahmadpur, Dana C. Eisenhöld, Eva Facher, Marc Gottschling, Selin Gürkan, Borislava P. Hristova, Johanna Knechtel, Paula M.E. Lehner, Hemingway Nyoka, Paweł M. Owsianny, Chiara Peters, Hélène Reich, Eva Reicheneder, Alexander Rockinger, Cecilia Teodora Satta, Marina Stark, F. Sara Uslu, Anže Žerdoner Čalasan   +17 more
wiley   +1 more source

Supervised Swin Transformer‐Based Predictive Lithological Mapping and Uncertainty Quantification Using Aeromagnetic and Gravity Data

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Lithological mapping is essential for the exploration of critical minerals supporting energy transition and national defense. Although recent advancements have incorporated multi‐source data sets and leveraged machine learning and deep learning (DL) methods, lithological mapping continues to face significant challenges, such as data imbalance,
Liang Ding, Gilles Bellefleur, Olivier Boulanger, Phuong Vo   +3 more
wiley   +1 more source

Rapid Assignment of Chemical Shifts From Crystal Structures in Solid‐State NMR

Angewandte Chemie, Volume 138, Issue 14, 27 March 2026.
Chemical shift assignment in solids is a long and tedious process that relies on complex 1D and 2D NMR experiments. With prior knowledge of the 3D structure, this process can be significantly sped up by a Bayesian probabilistic assignment approach based on predicted chemical shifts.
Ruben Rodriguez‐Madrid, Jacob Brian Holmes, Lyndon Emsley   +2 more
wiley   +2 more sources

CA 549: The Theorem of Bayes for Obtaining Cut-off Values

The International Journal of Biological Markers, 1992
R. Blasco, M.J. Rodriguez Cortasa, E.M.A. Barbero, A. Colmenarejo, R. Munoz Calvo   +4 more
doaj   +1 more source