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What is the Probability you are a Bayesian? [PDF]

Journal of Statistics Education, 2014
Bayesian methodology continues to be widely used in statistical applications. As a result, it is increasingly important to introduce students to Bayesian thinking at early stages in their mathematics and statistics education. While many students in upper level probability courses can recite the differences in the Frequentist and Bayesian inferential ...
Timothy J. Robinson, Shaun S. Wulff
openaire   +2 more sources

Effects of Pharmacologic and Nonpharmacologic Interventions for the Management of Sleep Problems in People With Fibromyalgia: Systematic Review and Network Meta‐Analysis of Randomized Controlled Trials

Arthritis Care &Research, EarlyView.
Objective Fibromyalgia is a chronic condition characterized by widespread musculoskeletal pain and fatigue. Almost everyone with fibromyalgia has sleep problems. We aimed to evaluate the effectiveness and safety of current interventions for the management of fibromyalgia‐related sleep problems.
Jemma Hudson, Mari Imamura, Clare Robertson, Daniel Whibley, Lorna Aucott, Katie Gillies, Paul Manson, Debra Dulake, Abhishek Abhishek, Nicole K. Y. Tang, Gary J. Macfarlane, Miriam Brazzelli   +11 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

On revision of the Guide to the Expression of Uncertainty in Measurement: Proofs of fundamental errors in Bayesian approaches

Measurement: Sensors, 2022
The process of revising the Guide to the Expression of Uncertainty in Measurement (GUM) is ongoing. A successful revision must be theoretically sound, so it must be based on a recognized paradigm for scientific data analysis.
R. Willink
doaj  

Bayesian Decision Theory and Stochastic Independence [PDF]

, 2020
As stochastic independence is essential to the mathematical development of probability theory, it seems that any foundational work on probability should be able to account for this property. Bayesian decision theory appears to be wanting in this respect.
Mongin, Philippe
core  

Gaussian‐Sigmoid Reinforcement Transistors: Resolving Exploration‐Exploitation Trade‐Off Through Gate Voltage‐Controlled Activation Functions

Advanced Functional Materials, EarlyView.
The characteristics of a vertical n–p–i–p heterostructure transistor device, which exhibits a voltage‐tunable transition between Gaussian and sigmoid functions, are investigated. The mixed state of the transfer curve enables the utilization of both exploitation and exploration, improving computational performance in reinforcement learning tasks ...
Jisoo Park, Juhyung Seo, Ryun‐Han Koo, Dinithi Jayasuriya, Nethmi Jayasinghe, Wonjun Shin, Amit R. Trivedi, Hocheon Yoo   +7 more
wiley   +1 more source

Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers

Complexity, 2018
Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization.
Gonzalo A. Ruz, Pamela Araya-Díaz
doaj   +1 more source

Antitumoral Efficacy of AuNRs‐Laden ECFCs In Vitro and In Vivo: Decoding the Heat and Rays Combo Treatment in Breast Cancer and Melanoma Cells

Advanced Healthcare Materials, EarlyView.
Endothelial Colony Forming Cells (ECFCs) acted as cellular cyborgs, stealthily transporting gold nanorods (AuNRs) into tumors to enable targeted near‐infrared (NIR) hyperthermia combined with radiotherapy. This approach triggers ferroptosis in melanoma and inhibits autophagy in breast cancer, revealing a tumor‐specific response to nanomaterial‐assisted
Cecilia Anceschi, Francesca Scavone, Paolo Armanetti, Luca Menichetti, Claudia Catarinicchia, Claudia Borri, Fulvio Ratto, Filippo Micheletti, Noemi Formica, Jessica Ruzzolini, Elena Frediani, Anastasia Chillà, Francesca Margheri, Mirko Severi, Rita Traversi, Patrizia Nardini, Daniele Guasti, Mario Del Rosso, Tommaso Del Rosso, Lisa Giovanelli, Cinzia Talamonti, Monica Mangoni, Isacco Desideri, Silvia Burchielli, Fabiola Pajar, Gabriella Fibbi, Anna Laurenzana   +26 more
wiley   +1 more source

Model selection in Medical Research: A simulation study comparing Bayesian Model Averaging and Stepwise Regression

BMC Medical Research Methodology, 2010
Background Automatic variable selection methods are usually discouraged in medical research although we believe they might be valuable for studies where subject matter knowledge is limited.
Steineck Gunnar, Nemes Szilard, Genell Anna, Dickman Paul W   +3 more
doaj   +1 more source