Nonparametric Identification of Multivariate Mixtures [PDF]
This article analyzes the identifiability of k-variate, M-component finite mixture models in which each component distribution has independent marginals, including models in latent class analysis.
Shimotsu, Katsumi, Kasahara, Hiroyuki
core
Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
On the robustness of latent class models for diagnostic testing with no gold standard. [PDF]
Stat Med, 2021 Schofield MR +5 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
Estimating nonparametric mixed logit models via EM algorithm [PDF]
The aim of this paper is to describe a Stata routine for the nonparametric estimation of mixed logit models using a Expectation-Maximisation algorithm. We also compare the performance of our estimator with respect to more typical parametric mixed logit ...
Daniele Pacifico
core
Bayesian latent class models for identifying canine visceral leishmaniosis using diagnostic tests in the absence of a gold standard. [PDF]
PLoS Negl Trop Dis, 2022 Ozanne MV +5 more
europepmc +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
Advanced Engineering Materials, EarlyView.A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Efficient state-space inference of periodic latent force models
, 2014 Latent force models (LFM) are principled approaches to incorporating solutions to differential equations within non-parametric inference methods.
Roberts, S. +4 more
core
Evaluating diagnostic accuracies of Panbio™ test and RT-PCR for the detection of SARS-CoV-2 in Addis Ababa, Ethiopia using Bayesian Latent-Class Models (BLCM). [PDF]
PLoS One, 2022 Sisay A +5 more
europepmc +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source