Results 221 to 230 of about 2,810,332 (372)

Multilevel Modeling of Single-Case Data: A Comparison of Maximum Likelihood and Bayesian Estimation

Psychological methods, 2017
Mariola Moeyaert, D. Rindskopf, P. Onghena, W. Van den Noortgate   +3 more
semanticscholar   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Flexible Bayesian estimation of incubation times. [PDF]

Am J Epidemiol
Gressani O, Torneri A, Hens N, Faes C.
europepmc   +1 more source

A new extension of Poisson distribution for asymmetric count data: theory, classical and Bayesian estimation with application to lifetime data. [PDF]

PeerJ Comput Sci, 2023
Alomair A, Ahsan-Ul-Haq M.
europepmc   +1 more source

Estimation of Fingertip Force from Surface EMG - A Multivariate Bayesian Mixture of Experts Approach

, 2015
Tara Baldacchino, William R. Jacobs, Sean Anderson, Keith Worden, Jennifer Rowson   +4 more
openalex   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Bayesian estimation of allele-specific expression in the presence of phasing uncertainty. [PDF]

Bioinformatics
Zou X, Gomez ZW, Reddy TE, Allen AS, Majoros WH.   +4 more
europepmc   +1 more source

Bayesian estimation of the effect of health inequality in disease detection. [PDF]

Int J Equity Health, 2022
Lope DJ, Demirhan H, Dolgun A.
europepmc   +1 more source

The Bayesian Estimation and Prediction Process Applied to a Mixture of Weibull and Gompertz Distributions Based on Type-I censoring

M. M. Mohie El-Din, A. Sadek, A. AL-Dugin   +2 more
openalex   +1 more source

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source