Results 131 to 140 of about 1,626 (283)
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
Induction and Deduction in Baysian Data Analysis [PDF]
The classical or frequentist approach to statistics (in which inference is centered on significance testing), is associated with a philosophy in which science is deductive and follows Popperis doctrine of falsification. In contrast, Bayesian inference is
Andrew Gelman
core
Begging the question and bayesianism [PDF]
The arguments for Bayesianism in the literature fall into three broad categories. There are Dutch Book arguments, both of the traditional pragmatic variety and the modern 'depragmatised' form.
Weatherson, Brian, Brian Weatherson
core
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source
Information Theory for Agents in Artificial Intelligence, Psychology, and Economics. [PDF]
Harré MS.
europepmc +1 more source
A Robotic Testing Platform for Pipelined Discovery of Resilient Dielectric Elastomer Actuators
This work introduces a robotic testing platform enabling high‐throughput, multi‐parameter lifetime mapping of linear dielectric elastomer actuators (DEAs). By integrating programmable high‐voltage control and automated electromechanical measurements, the system identifies material and operating conditions that double actuator lifetime.
Ang (Leo) Li +10 more
wiley +1 more source
Authors' reply to 'Multiple comparisons controversies are about context and costs, not frequentism versus Bayesianism'. [PDF]
Sjölander A, Vansteelandt S.
europepmc +1 more source
"Reverse Bayesianism": A Choice-Based Theory of Growing Awareness
This paper introduces a new approach to modeling the expanding universe of decision makers in the wake of growing awareness, and invokes the axiomatic approach to model the evolution of decision makers' beliefs as awareness grows.
Marie-Louise Vierø, Edi Karni
core
Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley +1 more source

