Results 81 to 90 of about 396,010 (290)
Bayesian inference and model comparison for metallic fatigue data
In this work, we present a statistical treatment of stress-life (S-N) data drawn from a collection of records of fatigue experiments that were performed on 75S-T6 aluminum alloys.
Babuska, Ivo +4 more
core +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Pemilihan Model Regresi Terbaik Dengan BIC (Bayesian Information Criteria) [PDF]
Analisis regresi adalah teknik statistika untuk membuat model dan menyelidiki hubungan antara dua variabel atau lebih. Hubungan antara variabel bebas dan variabel tak bebas dinyatakan dengan persamaan estimasi yang disebut persamaan regresi.
Hijrihani, Curie Putri
core
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Bayesian Item Selection in Constrained Adaptive Testing Using Shadow Tests
Application of Bayesian item selection criteria in computerized adaptive testing might result in improvement of bias and MSE of the ability estimates.
Bernard P. Veldkamp
doaj
It can be argued that the identification of sound mathematical models is the ultimate goal of any scientific endeavour. On the other hand, particularly in the investigation of complex systems and nonlinear phenomena, discriminating between alternative ...
Andrea Murari +4 more
doaj +1 more source
Bayesian optimal experimental design with Wasserstein information criteria
Bayesian optimal experimental design (OED) provides a principled framework for selecting the most informative observational settings in experiments. With rapid advances in computational power, Bayesian OED has become increasingly feasible for inference problems involving large-scale simulations, attracting growing interest in fields such as inverse ...
Helin, Tapio +2 more
openaire +2 more sources
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu +3 more
wiley +1 more source
PREDICTIVE INFORMATION CRITERIA FOR BAYESIAN NONLINEAR REGRESSION MODELS [PDF]
Daeju Kim +2 more
openaire +3 more sources
Isolation Defines Identity: Functional Consequences of Extracellular Vesicle Purification Strategies
Four extracellular vesicle purification strategies are compared using ovarian‐cancer ascites and ES‐2 cell supernatants. A novel workflow links purification to function by combining particle‐normalized proteomics with matched cell‐free and cell‐based assays.
Christian Preußer +10 more
wiley +1 more source

